Jin Gao

867 total citations
23 papers, 661 citations indexed

About

Jin Gao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jin Gao has authored 23 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Jin Gao's work include Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers) and Breast Cancer Treatment Studies (3 papers). Jin Gao is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers) and Breast Cancer Treatment Studies (3 papers). Jin Gao collaborates with scholars based in China, United States and Australia. Jin Gao's co-authors include Michael McCulloch, Michael Broffman, John M. Colford, Alan Kramer, Xiaoshen Zhang, Lun Chen, Lingxiao Pan, Wei Tang, Wenbo Zheng and Whitney Lieb and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Public Health.

In The Last Decade

Jin Gao

23 papers receiving 639 citations

Peers

Jin Gao
Comparison fields: 5 of 89
  • Molecular Biology 291
  • Cancer Research 173
  • Oncology 148
  • Complementary and alternative medicine 140
  • Pharmacology 85
Replace Lijing Jiao with:
Lijing Jiao China
Hongsheng Lin China
Ziqiao Yuan China
Jian Hao China
Hsi‐Hsien Hsu Taiwan
Ji Zongzheng China
Fubin Feng China
Wu-Ming Qin China
Sookyung Lee South Korea
Yulian Xu China
Lijing Jiao China View profile →
Citations per field, relative to Jin Gao
Jin Gao · 1×
Citations per year, relative to Jin Gao
Jin Gao · 1×

Countries citing papers authored by Jin Gao

Since Specialization
Citations

This map shows the geographic impact of Jin Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Gao more than expected).

Fields of papers citing papers by Jin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Gao. The network helps show where Jin Gao may publish in the future.

Co-authorship network of co-authors of Jin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Gao. A scholar is included among the top collaborators of Jin Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Gao. Jin Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3 8
4
Clinical significance of vasculogenic mimicry, vascular endothelial cadherin and SOX4 in patients with esophageal squamous cell carcinoma.
4
5 19
6
Evaluation of the correlativity of gender determining region Y-box 4, N-cadherin, CD44 and E-cadherin expression in the prognosis of esophageal squamous cell carcinoma.
1
7 69
8 27
9 20
10 6
11 56
12 8
13 8
14 16
15 19
16 37
17 34
18 24
19 42
20 1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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