Literature Search Results
After scanning, a total of 1581 English articles related to omics in OS were included, of which 1406 research articles and 175 reviews.These were from 64 countries, 2082 constitutions, 540 journals and 9832 authors with 61361 references from 5048 journals.
The annual number of publication and citation from 1999 to 2023 were presented in Figure 2, the average h-index is 94, and the average citation is 28.88. The growth of the publication and citation showed two stage: the first (1999-2017), which had a very slow and unstable growth, and the second (2018-2022), which had a explosive growth. The number of published paper reached 179 in 2022, exactly 10 times the previous amount in 1999.
Figure 2 Annual number of publication and citation in omics in OS
Distribution of countries
In total, 64 countries were involved in the research of omics in OS, of which top 10 leading countries were shown inTable 1. China had the largest number of publications and the number was 569, accounting 36.0%, followed by United States (523, 33.1%). But Germany, in third place, had only 106 articles, a sharp drop, followed by Italy (104, 6.6%). The network of countries in this field of omics in OS were presented in Figure 3. This map offered a clear imagine of eight clusters in these countries, with the strongest links showing the frequent association among China, United States, Australia and Canada.
Rank
|
Country
|
Counts
|
1st
|
China
|
569 (36.0%)
|
2nd
|
United States
|
523 (33.1%)
|
3rd
|
Germany
|
106 (6.7%)
|
4th
|
Italy
|
104 (6.6%)
|
5th
|
United Kingdom
|
97 (6.1%)
|
6th
|
Japan
|
91 (5.8%)
|
7th
|
Canada
|
76 (4.8%)
|
8th
|
France
|
68 (4.3%)
|
9th
|
Netherlands
|
62 (3.9%)
|
10th
|
Switzerland
|
53 (3.4%)
|
Table 1 The top 10 countries on the research of omics in OS
Figure 3 Country collaboration map
Institution and authors analysis
Table 2 showed the most productive research areas, institutions and authors. In the field of omics in OS, articles on oncology (558, 35.29%) were more than twice as many as articles on biochemistry molecular biology. Among the 2082 institutions, the University of Texas MD Anderson Cancer Center published the greatest number of article (44, 2.78%), followed by Baylor College of Medicine (40, 2.53%). A total of 9832 authors was involved in omics research in OS. Based on the number of publications, the number of records and the proportion of the top 6 authors were shown in the table 2. The top three authors were Cleton-Jansen AM (20, 1.27%), Baumhoer D (18, 1.14%) and Modiano JF (18, 1.14%). The relationship between affiliations, authors and keywords in the field of omics in OS is shown in Figure 4.
Item
|
|
Record Count
|
% of 1581
|
Research areas
|
Oncology
|
558
|
35.29
|
|
Biochemistry molecular biology
|
245
|
15.50
|
|
Cell biology
|
212
|
13.41
|
|
Genetic heredity
|
211
|
13.35
|
|
Medicine research experimental
|
128
|
8.10
|
Affiliations
|
The University of Texas MD Anderson Cancer Center
|
44
|
2.78
|
|
Baylor College of Medicine
|
40
|
2.53
|
|
Shanghai Jiao Tong University
|
37
|
2.34
|
|
University of Toronto
|
35
|
2.21
|
|
National Cancer Institute
|
33
|
2.09
|
|
The Ohio State University
|
33
|
2.09
|
|
Sun Yat-sen University
|
33
|
2.09
|
Authors
|
Cleton-Jansen AM
|
20
|
1.27
|
|
Baumhoer D
|
18
|
1.14
|
|
Modiano JF
|
18
|
1.14
|
|
Gorlick R
|
16
|
1.01
|
|
Nathrath M
|
15
|
0.95
|
|
Serra M
|
15
|
0.95
|
Table 2 The top 5 research areas, 7 affiliations and 6 authors on the research of omics in OS
Figure 4The alluvial diagram of author, institution and article subject
Journals and co-cited journals
Publications related to omics in OS were published in 540 journals, and the top 10 journals and co-cited journals were shown in Table 3. Plos One published the highest number of articles, 46, and also had the highest number of citations, 1256. Of all the top 10 journals, only the International Journal of Molecular Sciences and Cancer Research appeared in the Journal Citation Reports Category Quartile (JCR-c) Q1. The co-cited journals shown in the table 3 had an impact factor (IF) ranging from 3.7 to 64.8, and four out of five were included in JCR-c Q1. The double map overlay of the journals (Figure 5) showed the distribution of the journals with regard to the topic. The target (citing journals) was placed on the left side and the source (cited journals) on the other side, with the coloured paths indicating the citation correlations. An orange path was clearly identified in the figure.
Rank
|
Journals
|
Counts
|
Citations
|
IF
|
JCR-c
|
Co-cited journals
|
Co-citations
|
IF
|
JCR-c
|
1st
|
Plos One
|
46
|
1256
|
3.7
|
Q2
|
Cancer Research
|
2590
|
11.2
|
Q1
|
2nd
|
Frontiers in Oncology
|
39
|
438
|
4.7
|
Q2
|
Nature
|
1847
|
64.8
|
Q1
|
3rd
|
Cancers
|
27
|
367
|
5.2
|
Q2
|
Proceedings of the National Academy of Sciences of the United States of America
|
1750
|
11.1
|
Q1
|
4th
|
Oncotarget
|
24
|
700
|
5.2
|
Q2
|
Cell
|
1598
|
64.5
|
Q1
|
5th
|
International Journal of Molecular Sciences
|
24
|
262
|
5.6
|
Q1
|
Oncogene
|
1560
|
8
|
Q1
|
6th
|
Scientific Reports
|
23
|
293
|
4.6
|
Q2
|
Journal of Biological chemistry
|
1517
|
4.8
|
Q2
|
7th
|
Oncology letters
|
22
|
242
|
2.9
|
Q3
|
Journal of Clinical Oncology
|
1431
|
45.3
|
Q1
|
8th
|
Genes Chromosomes & Cancer
|
21
|
1129
|
3.7
|
Q2
|
Plos One
|
1287
|
3.7
|
Q2
|
9th
|
BMC Cancer
|
20
|
498
|
3.8
|
Q2
|
Clinical Cancer Research
|
1281
|
11.5
|
Q1
|
10th
|
Cancer Research
|
19
|
1377
|
11.2
|
Q1
|
Nucleic Acids Research
|
1276
|
14.9
|
Q1
|
Table 3 The top 10 journals and co-cited journals on the research of omics in OS
Figure 5 Dual-map overlay of journals
Cited references
The citation analysis of journals was applied to assess the influence usually within a particular field. In the research, articles related to omics in OS cited 61361 references from 5048 journals. The top 10 cited references were presented in Table 4, and all of these articles had no less than 283 citations. Four out of five journals belong to JCR Q1, and one appeared in JCR Q3. The article with the most citation (n=818, IF=78.5, JCR-c=Q1) entitled “Translational biology of osteosarcoma” was published in Nature Reviews Cancer. The second article (n=732, IF=4.8, JCR-c=Q2) entitled “Role of Poly (ADP-ribose) Polymerase (PARP) Cleavage in Apoptosis” was published in Journal of Biological chemistry.
Rank
|
Title
|
Corresponding authors
|
Year
|
Article type
|
Journal
|
Citations
|
IF
|
JCR-c
|
1st
|
Translational biology of osteosarcoma (Kansara et al. 2014)
|
Kansara M
|
2014
|
Review
|
Nature Reviews Cancer
|
818
|
78.5
|
Q1
|
2nd
|
Role of Poly(ADP-ribose) Polymerase (PARP) Cleavage in Apoptosis (Boulares et al. 1999)
|
Boulares AH
|
1999
|
Research article
|
Journal of Biological chemistry
|
732
|
4.8
|
Q2
|
3rd
|
The membrane-cytoskeleton linker ezrin is necessary for osteosarcoma metastasis (Khanna et al. 2004)
|
Khanna C
|
2004
|
Research article
|
Nature Medicine
|
559
|
82.9
|
Q1
|
4th
|
Recurrent Somatic Structural Variations Contribute to Tumorigenesis in Pediatric Osteosarcoma (Chen et al. 2014)
|
Chen X
|
2014
|
Research article
|
Cell Reports
|
465
|
8.8
|
Q1
|
5th
|
Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours (Ma et al. 2018)
|
Ma XT
|
2018
|
Research article
|
Nature
|
464
|
64.8
|
Q1
|
6th
|
LncRNA loc285194 is a p53-regulated tumor suppressor (Liu et al. 2013)
|
Liu Q
|
2013
|
Research article
|
Nucleic Acids Research
|
335
|
14.9
|
Q1
|
7th
|
Tumor-Infiltrating Macrophages Are Associated with Metastasis Suppression in High-Grade Osteosarcoma: A Rationale for Treatment with Macrophage Activating Agents (Buddingh et al. 2011)
|
Buddingh EP
|
2011
|
Research article
|
Clinical Cancer Research
|
313
|
11.5
|
Q1
|
8th
|
A new subtype of bone sarcoma defined by BCOR-CCNB3 gene fusion(Pierron et al. 2012)
|
Pierron G
|
2012
|
Research article
|
Nature Genetics
|
300
|
30.8
|
Q1
|
9th
|
Germline and somatic genetics of osteosarcoma-connecting aetiology, biology and therapy (Gianferante et al. 2017)
|
Gianferante DM
|
2017
|
Review
|
Nature Reviews Endocrinology
|
292
|
40.5
|
Q1
|
10th
|
Osteosarcoma Overview (Lindsey et al. 2017)
|
Lindsey BA
|
2017
|
Review
|
Rheumatology and Therapy
|
283
|
3.8
|
Q3
|
Table 4 Top 10 cited articles related to omics inOS
Keywords
To capture the research hotspots, a keyword co-occurrence map was created using Citespace, as shown in Figure 6A. The high-frequency terms included "expression", "gene", "proliferation", "identification", "apoptosis", "survival", "metastasis" and "comparative genomic hybridization". In addition, the cluster of the keywords was analyzed to gain further insight into the hotspots in the field of omics in OS. The results of the keyword cluster analysis were presented in Figure 6B, and a total of ten clusters were obtained, with the largest cluster being Cluster #0 named "prognosis", followed by "cancer", "comparative genomic hybridization", "gene expression" and so on. A timeline plot of the keyword clusters was shown in Figure 7, "prognosis" is the essential topic consistently, and "6-methoxyflavone" aroused the attention of scholars.
More specifically, the top 25 keywords with the strongest citation bursts were presented in Figure 8. Keyword with the burst strength (32.14) and longest duration (1999-2012) was "comparative genomic hybridization". Latest keywords in the outbreak contained"resistance" (2020-2023), "target therapy"(2020-2023) and "progression"(2021-2023). The R Studio heatmap (Figure 9) verifying these results showed that the keywords"chondrosarcoma", "gene expression" and "cell cycle"were the earliest burst keywords in 2011, with "gene expression", "p53" and "microarray" having the longest citation duration, and the recent outbreaks were associated with "immune infiltration", "tumor microenvironment" and "biomarkers", indicating the latest trends of the study.
Figure 6 Visualization of keyword clustering map from 1999 to 2023. A: keyword co-occurrence map, B: keyword cluster map
Figure 7 Keywords clustering timeline view between 1999 and 2023
Figure 8 Top 25 keywords with the strongest citation bursts
Figure 9 Heatmap and accumulated frequency heatmap of keywords from 1999 to 2023