Jin Gu

4.5k total citations
154 papers, 3.0k citations indexed

About

Jin Gu is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin Gu has authored 154 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Oncology, 53 papers in Surgery and 45 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin Gu's work include Colorectal Cancer Surgical Treatments (58 papers), Colorectal and Anal Carcinomas (36 papers) and Colorectal Cancer Treatments and Studies (26 papers). Jin Gu is often cited by papers focused on Colorectal Cancer Surgical Treatments (58 papers), Colorectal and Anal Carcinomas (36 papers) and Colorectal Cancer Treatments and Studies (26 papers). Jin Gu collaborates with scholars based in China, United States and Ethiopia. Jin Gu's co-authors include Dengbo Ji, Lin Wang, Yunfeng Yao, Yong Cai, Changzheng Du, Masaru Tamura, Hoanh Tran, Tiancheng Zhan, Kenneth M. Yamada and Jiafu Ji and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jin Gu

149 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Gu China 30 1.5k 1.1k 665 652 552 154 3.0k
Nootan Kumar Shukla India 31 1.2k 0.8× 1.2k 1.1× 628 0.9× 779 1.2× 560 1.0× 107 3.1k
Ellis Levine United States 26 1.1k 0.8× 641 0.6× 664 1.0× 431 0.7× 946 1.7× 92 2.8k
Toon Van Gorp Belgium 35 1.1k 0.8× 743 0.7× 526 0.8× 1.3k 2.1× 389 0.7× 219 4.8k
Thaer Khoury United States 32 1.5k 1.0× 1.1k 1.0× 1.1k 1.6× 420 0.6× 453 0.8× 153 3.1k
Stergios Boussios United Kingdom 40 1.8k 1.2× 1.1k 1.1× 584 0.9× 519 0.8× 703 1.3× 143 3.5k
Benjamin Esterni France 32 2.2k 1.5× 1.4k 1.3× 1.0k 1.5× 512 0.8× 683 1.2× 75 4.4k
Hisashi Nagahara Japan 31 1.7k 1.2× 622 0.6× 686 1.0× 779 1.2× 689 1.2× 128 2.9k
Zan Shen China 32 1.2k 0.8× 1.2k 1.1× 632 1.0× 338 0.5× 1.0k 1.9× 155 3.1k
William N. William United States 33 2.0k 1.4× 893 0.8× 559 0.8× 901 1.4× 1.5k 2.7× 109 4.0k
Dongfeng Tan United States 37 1.6k 1.1× 1.9k 1.8× 897 1.3× 772 1.2× 901 1.6× 124 4.0k

Countries citing papers authored by Jin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Gu. A scholar is included among the top collaborators of Jin Gu 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 Gu. Jin Gu 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.
Gu, Jin, et al.. (2025). User experiences of patients with post-acute COVID-19 syndrome receiving occupational therapy telerehabilitation. Frontiers in Human Neuroscience. 19. 1551631–1551631. 1 indexed citations
2.
Li, Xin, Nan Chen, Zhaoya Gao, et al.. (2025). HDAC and MEK inhibition synergistically suppresses HOXC6 and enhances PD-1 blockade efficacy in BRAFV600E-mutant microsatellite stable colorectal cancer. Journal for ImmunoTherapy of Cancer. 13(1). e010460–e010460. 4 indexed citations
3.
Zheng, Yuting, Mingliang Wang, Hanting Li, et al.. (2024). CT-based delta-radiomics for predicting pathological response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma: a multicenter study. BMC Medical Imaging. 24(1). 329–329. 3 indexed citations
4.
Xu, Xiang, Dandan Huang, Lin Lin, et al.. (2024). A comprehensive benchmarking with interpretation and operational guidance for the hierarchy of topologically associating domains. Nature Communications. 15(1). 4376–4376. 7 indexed citations
5.
Ganio, Katherine, Jin Gu, Stephanie L. Neville, et al.. (2024). Hfe Permease and Haemophilus influenzae Manganese Homeostasis. ACS Infectious Diseases. 10(2). 436–452.
6.
7.
Xie, Lu, Jie Xu, Xin Sun, et al.. (2020). <p>Apatinib for Treatment of Inoperable Metastatic or Locally Advanced Chondrosarcoma: What We Can Learn About the Biological Behavior of Chondrosarcoma from a Two-Center Study</p>. Cancer Management and Research. Volume 12. 3513–3525. 11 indexed citations
8.
9.
Ji, Dengbo, Tiancheng Zhan, Jinying Jia, et al.. (2020). Tumor mutation burden in blood predicts benefit from neoadjuvant chemo/radiotherapy in locally advanced rectal cancer. Genomics. 113(1). 957–966. 14 indexed citations
10.
Tian, Yanhua, Zhijie Wang, Xiaohui Liu, et al.. (2018). Prediction of Chemotherapeutic Efficacy in Non–Small Cell Lung Cancer by Serum Metabolomic Profiling. Clinical Cancer Research. 24(9). 2100–2109. 57 indexed citations
11.
Ji, Dengbo, Tiancheng Zhan, Zhaowei Li, et al.. (2018). Somatic Mutations and Immune Alternation in Rectal Cancer Following Neoadjuvant Chemoradiotherapy. Cancer Immunology Research. 6(11). 1401–1416. 29 indexed citations
12.
Gu, Jin. (2018). [The necessary perseverance of surgery for the treatment of locally advanced colorectal cancer].. PubMed. 21(3). 241–245. 1 indexed citations
13.
Gu, Jin, et al.. (2017). [Postoperative complications after rectal cancer surgery and management].. PubMed. 20(7). 740–743. 2 indexed citations
14.
Pan, Hongda, Yifan Peng, Gang Xiao, & Jin Gu. (2017). High levels of serum platelet-derived growth factor-AA and human epidermal growth factor receptor-2 are predictors of colorectal cancer liver metastasis. World Journal of Gastroenterology. 23(7). 1233–1233. 13 indexed citations
15.
Gu, Jin. (2015). Problems and countermeasures of standardized surgical treatment for colorectal cancer. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 14(6). 441–444. 1 indexed citations
16.
Du, Changzheng, Wei‐Cheng Xue, Yong Cai, Ming Li, & Jin Gu. (2009). Lymphovascular invasion in rectal cancer following neoadjuvant radiotherapy: A retrospective cohort study. World Journal of Gastroenterology. 15(30). 3793–3793. 24 indexed citations
17.
Fan, Jun, Na Wei, Miao Ding, et al.. (2009). Targeting Gene‐ViroTherapy for prostate cancer by DD3‐driven oncolytic virus‐harboring interleukin‐24 gene. International Journal of Cancer. 127(3). 707–717. 26 indexed citations
18.
Wu, Aiwen, Jin Gu, Jiyou Li, et al.. (2006). Gastrointestinal stromal tumors of the anorectum — A special entity: GISTs of the anorectum. Chinese Journal of Cancer Research. 18(1). 38–44. 1 indexed citations
19.
Zhang, Ji, Xiangqian Su, Jin Gu, et al.. (2003). Effect of body mass index on colorectal cancer. Chinese Journal of Cancer Research. 15(3). 189–194. 1 indexed citations
20.
Gu, Jin, Yifan Peng, Zhaolai Ma, et al.. (2002). [Long-term results of preoperative regional intraarterial chemotherapy against colorectal cancer].. PubMed. 40(6). 404–6. 2 indexed citations

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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