Kun Gao

1.8k total citations
38 papers, 1.1k citations indexed

About

Kun Gao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Kun Gao has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Kun Gao's work include Endometrial and Cervical Cancer Treatments (4 papers), Phytochemicals and Antioxidant Activities (3 papers) and Cervical Cancer and HPV Research (3 papers). Kun Gao is often cited by papers focused on Endometrial and Cervical Cancer Treatments (4 papers), Phytochemicals and Antioxidant Activities (3 papers) and Cervical Cancer and HPV Research (3 papers). Kun Gao collaborates with scholars based in China, United States and India. Kun Gao's co-authors include Susanne M. Henning, Luyi Li, David Heber, Alona Zerlin, Gail Thames, Daniel H. Geschwind, Navindra P. Seeram, David Heber, Liutao Du and Zhaoping Li and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Kun Gao

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Gao China 16 416 210 205 123 106 38 1.1k
M. Carmen Crespo Spain 20 394 0.9× 195 0.9× 183 0.9× 46 0.4× 43 0.4× 36 1.1k
Catherine Riva France 19 486 1.2× 136 0.6× 183 0.9× 56 0.5× 239 2.3× 42 1.5k
Theresa Visarius Switzerland 11 284 0.7× 187 0.9× 283 1.4× 31 0.3× 99 0.9× 11 841
Paola Marcolongo Italy 26 537 1.3× 135 0.6× 47 0.2× 89 0.7× 92 0.9× 65 1.5k
Petra Kempná Switzerland 19 707 1.7× 209 1.0× 292 1.4× 47 0.4× 22 0.2× 25 1.4k
Éva Margittai Hungary 21 746 1.8× 155 0.7× 77 0.4× 75 0.6× 97 0.9× 35 1.4k
Francesco Potì Italy 21 577 1.4× 72 0.3× 73 0.4× 156 1.3× 43 0.4× 52 1.2k
Wei-Wen Kuo Taiwan 22 506 1.2× 56 0.3× 75 0.4× 60 0.5× 79 0.7× 47 1.1k
Hong Pan China 20 663 1.6× 62 0.3× 57 0.3× 157 1.3× 108 1.0× 67 1.3k
Nurit Hadad Israel 18 375 0.9× 76 0.4× 91 0.4× 330 2.7× 36 0.3× 40 1.2k

Countries citing papers authored by Kun Gao

Since Specialization
Citations

This map shows the geographic impact of Kun 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 Kun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Gao more than expected).

Fields of papers citing papers by Kun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun 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 Kun Gao. The network helps show where Kun Gao may publish in the future.

Co-authorship network of co-authors of Kun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Gao. A scholar is included among the top collaborators of Kun 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 Kun Gao. Kun 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
1.
Gao, Kun, et al.. (2025). Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium. Journal of International Medical Research. 53(4). 3659394574–3659394574. 1 indexed citations
2.
3.
Gao, Kun, Xianben Liu, Wenqun Xing, et al.. (2023). Treatment outcomes of surgery and chemotherapy for pulmonary metastases from non-lung cancers: a propensity score-matched analysis. Translational Cancer Research. 12(3). 585–594. 2 indexed citations
4.
Yan, Tao, Chen‐Yang Huang, Xuezhang Duan, et al.. (2023). A multi-center retrospective study on the efficacy and safety of regorafenib vs. regorafenib combined with PD-1 inhibitors as a second-line therapy in patients with advanced hepatocellular carcinoma. Annals of Translational Medicine. 11(2). 109–109. 5 indexed citations
5.
Liu, Bin, Zhongmin Wang, Jin‐He Guo, et al.. (2023). Expert Consensus on the Interventional Treatment of Choledocholithiasis with Integrative Medicine. SHILAP Revista de lepidopterología. 3(1). e1–e8.
6.
Lin, Qin, et al.. (2022). JAK1 inactivation promotes proliferation and migration of endometrial cancer cells via upregulating the hypoxia-inducible factor signaling pathway. Cell Communication and Signaling. 20(1). 177–177. 5 indexed citations
7.
Cheng, Yuyan, Yuqin Yin, Alice Zhang, et al.. (2022). Transcription factor network analysis identifies REST/NRSF as an intrinsic regulator of CNS regeneration in mice. Nature Communications. 13(1). 4418–4418. 35 indexed citations
8.
Gao, Kun, Keting Li, Yin Li, et al.. (2022). The Feasibility of Early Oral Feeding After Neoadjuvant Chemotherapy Combined With “Non-Tube No Fasting”-Enhanced Recovery. Annals of Surgical Oncology. 30(3). 1564–1571. 3 indexed citations
9.
Gordon, Aaron, et al.. (2019). CYFIP1 overexpression increases fear response in mice but does not affect social or repetitive behavioral phenotypes. Molecular Autism. 10(1). 25–25. 17 indexed citations
10.
Tang, Zhenyong, et al.. (2017). Analysis of hemorrhagic fever with renal syndrome and its pathogenic gene sequence based on geographic information system.. PubMed. 31(2). 431–438.
11.
Chandran, Vijayendran, Kun Gao, Vivek Swarup, et al.. (2017). Inducible and reversible phenotypes in a novel mouse model of Friedreich’s Ataxia. eLife. 6. 68 indexed citations
12.
Huang, Jing, Zhijun Yang, Jieqing Zhang, et al.. (2015). [Analysis about the high risk factors and prognosis of gynecologic cancer with deep venous thrombosis].. PubMed. 50(10). 762–9. 2 indexed citations
13.
Gao, Kun. (2013). Preoperative Wire Guided Localization Under X-ray Guidance for Nonpalpable Breast Lesions. 1 indexed citations
14.
Henning, Susanne M., Piwen Wang, Jonathan Said, et al.. (2012). Polyphenols in brewed green tea inhibit prostate tumor xenograft growth by localizing to the tumor and decreasing oxidative stress and angiogenesis. The Journal of Nutritional Biochemistry. 23(11). 1537–1542. 50 indexed citations
15.
Konopka, Geneviève, Eric Wexler, Evan D. Rosen, et al.. (2011). Modeling the functional genomics of autism using human neurons. Molecular Psychiatry. 17(2). 202–214. 65 indexed citations
16.
Henning, Susanne M., Navindra P. Seeram, Yanjun Zhang, et al.. (2010). Strawberry Consumption Is Associated with Increased Antioxidant Capacity in Serum. Journal of Medicinal Food. 13(1). 116–122. 70 indexed citations
17.
Li, Zhaoping, Christine Nguyen, Alona Zerlin, et al.. (2010). Pistachio Nuts Reduce Triglycerides and Body Weight by Comparison to Refined Carbohydrate Snack in Obese Subjects on a 12-Week Weight Loss Program. Journal of the American College of Nutrition. 29(3). 198–203. 110 indexed citations
18.
Wang, Jiong, et al.. (2009). The effects of anti-asthma drugs on the phagocytic clearance of apoptotic eosinophils by A549 cells. Respiratory Medicine. 103(11). 1693–1699. 10 indexed citations
19.
Park, Song‐Yi, Lynne R. Wilkens, Susanne M. Henning, et al.. (2008). Circulating fatty acids and prostate cancer risk in a nested case–control study: the Multiethnic Cohort. Cancer Causes & Control. 20(2). 211–223. 66 indexed citations
20.

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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