Haigang Geng

638 total citations · 1 hit paper
20 papers, 311 citations indexed

About

Haigang Geng is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Haigang Geng has authored 20 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Haigang Geng's work include Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers) and Cancer Genomics and Diagnostics (3 papers). Haigang Geng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers) and Cancer Genomics and Diagnostics (3 papers). Haigang Geng collaborates with scholars based in China, Netherlands and Germany. Haigang Geng's co-authors include Cun Wang, Chen Yang, Wenxin Qin, René Bernards, Xupeng Yang, Qiang Gao, Andrew X. Zhu, Shu Zhang, Jia Fan and Xiang Xia and has published in prestigious journals such as Gastroenterology, Cancer Cell and Frontiers in Immunology.

In The Last Decade

Haigang Geng

17 papers receiving 307 citations

Hit Papers

Precision treatment in advanced hepatocellular carcinoma 2024 2026 2025 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Precision treatment in advanced hepatocellular carcinoma
    2024 188 citations Xupeng Yang, Chen Yang et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haigang Geng China 7 140 75 74 72 57 20 311
Atsutaka Masuda Japan 9 142 1.0× 51 0.7× 92 1.2× 85 1.2× 61 1.1× 19 279
Johan Swinnen Belgium 7 131 0.9× 99 1.3× 107 1.4× 47 0.7× 34 0.6× 16 330
Anrong Mao China 11 166 1.2× 58 0.8× 124 1.7× 74 1.0× 54 0.9× 34 370
Pengfei Sun China 13 178 1.3× 40 0.5× 108 1.5× 73 1.0× 42 0.7× 24 328
Yuqiang Shan China 9 178 1.3× 82 1.1× 112 1.5× 81 1.1× 48 0.8× 30 359
Fangzhou Ye China 9 174 1.2× 102 1.4× 133 1.8× 77 1.1× 25 0.4× 23 341
Kyo Sasaki Japan 7 119 0.8× 47 0.6× 63 0.9× 77 1.1× 42 0.7× 14 322
Yixiao Xiong China 12 233 1.7× 112 1.5× 144 1.9× 62 0.9× 37 0.6× 20 405
Yunfei Duan China 12 198 1.4× 53 0.7× 149 2.0× 49 0.7× 39 0.7× 17 350
Hiroki Teraoku Japan 13 116 0.8× 57 0.8× 73 1.0× 107 1.5× 97 1.7× 44 352

Countries citing papers authored by Haigang Geng

Since Specialization
Citations

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

Fields of papers citing papers by Haigang Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haigang Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Haigang Geng. A scholar is included among the top collaborators of Haigang Geng 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 Haigang Geng. Haigang Geng 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.
2.
Wang, Hongye, Zhigang Zheng, Yan Lin, et al.. (2025). IDO1 inhibition enhances CLDN18.2-CAR-T cell therapy in gastrointestinal cancers by overcoming kynurenine-mediated metabolic suppression in the tumor microenvironment. Journal of Translational Medicine. 23(1). 275–275. 5 indexed citations
3.
Guo, Yuchen, Xiao Hu, Ling Jing, et al.. (2025). PTEN loss and ERBB2/ERBB3-mediated AKT reactivation drive resistance to MET inhibition in MET-amplified hepatocellular carcinoma. Cellular Oncology. 48(6). 1711–1724.
4.
Li, Jiajun, et al.. (2025). Integrative genomic and single-cell framework identifies druggable targets for colorectal cancer precision therapy. Frontiers in Immunology. 16. 1604154–1604154. 3 indexed citations
5.
Qiu, Xudong, Tao Pan, Yanying Shen, et al.. (2025). DEPP1: A prognostic biomarker linked to stroma‑rich and immunosuppressive microenvironment, promoting oxaliplatin resistance in gastric cancer. Oncology Reports. 54(1). 1–16. 1 indexed citations
6.
Yi, Lei, Yixian Guo, Feng Xie, et al.. (2024). CD177 drives the transendothelial migration of Treg cells enriched in human colorectal cancer. Clinical & Translational Immunology. 13(4). e1506–e1506. 2 indexed citations
7.
8.
Li, Qing, et al.. (2024). Circadian system disorder induced by aberrantly activated EFNB2-EPHB2 axis leads to facilitated liver metastasis in gastric cancer. Cellular Oncology. 47(6). 2113–2134. 2 indexed citations
9.
Dong, Zhong‐Yi, Haigang Geng, Bo Ni, et al.. (2024). Image-based deep learning model to predict stoma-site incisional hernia in patients with temporary ileostomy: A retrospective study. iScience. 27(11). 111235–111235.
10.
Geng, Haigang, Chen Huang, Lei Xu, et al.. (2024). Targeting cellular senescence as a therapeutic vulnerability in gastric cancer. Life Sciences. 346. 122631–122631. 4 indexed citations
11.
Wang, Hui, Shengxian Yuan, Qianqian Zhang, et al.. (2024). Dual Inhibition of CDK4/6 and XPO1 Induces Senescence With Acquired Vulnerability to CRBN-Based PROTAC Drugs. Gastroenterology. 166(6). 1130–1144.e8. 27 indexed citations
12.
Yang, Xupeng, Chen Yang, Shu Zhang, et al.. (2024). Precision treatment in advanced hepatocellular carcinoma. Cancer Cell. 42(2). 180–197. 188 indexed citations breakdown →
13.
Geng, Haigang, Xiangyu Tang, Xiaojun Zhang, et al.. (2023). Leveraging synthetic lethality to uncover potential therapeutic target in gastric cancer. Cancer Gene Therapy. 31(2). 334–348. 2 indexed citations
14.
Geng, Haigang, Zhong‐Yi Dong, Linmeng Zhang, et al.. (2022). An Immune Signature for Risk Stratification and Therapeutic Prediction in Helicobacter pylori-Infected Gastric Cancer. Cancers. 14(13). 3276–3276. 6 indexed citations
15.
Guo, Yixian, Zeyu Wang, Haigang Geng, et al.. (2022). High-level of intratumoral GITR+ CD4 T cells associate with poor prognosis in gastric cancer. iScience. 25(12). 105529–105529. 7 indexed citations
16.
Yang, Chen, Zhuoan Cheng, Zhicheng Liu, et al.. (2022). Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer. Genome Medicine. 14(1). 142–142. 19 indexed citations
17.
18.
Geng, Haigang, et al.. (2022). Causal Association of Thyroid Signaling with C-Reactive Protein: A Bidirectional Mendelian Randomization. Computational and Mathematical Methods in Medicine. 2022. 1–8. 6 indexed citations
19.
Geng, Haigang, Linmeng Zhang, Chen Yang, et al.. (2022). Clinical outcomes and potential therapies prediction of subgroups based on a ferroptosis-related long non-coding RNA signature for gastric cancer. Aging. 14(15). 6358–6376. 7 indexed citations
20.
Li, Yanqing, Yuqing Li, Ying Li, et al.. (2020). Inhibition of endoplasmic reticulum stress mediates the ameliorative effect of apelin on vascular calcification. Journal of Molecular and Cellular Cardiology. 152. 17–28. 11 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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