Han Zeng

2.5k total citations · 1 hit paper
59 papers, 1.6k citations indexed

About

Han Zeng is a scholar working on Oncology, Surgery and Immunology. According to data from OpenAlex, Han Zeng has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 30 papers in Surgery and 18 papers in Immunology. Recurrent topics in Han Zeng's work include Cancer Immunotherapy and Biomarkers (28 papers), Bladder and Urothelial Cancer Treatments (27 papers) and Immune Cell Function and Interaction (9 papers). Han Zeng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (28 papers), Bladder and Urothelial Cancer Treatments (27 papers) and Immune Cell Function and Interaction (9 papers). Han Zeng collaborates with scholars based in China, United Kingdom and France. Han Zeng's co-authors include Xiong Z. Ruan, Yu Zhu, Lei Zhao, Jiejie Xu, Le Xu, Enze Zheng, Ping Yang, Xiaoqing Luo, Hong Qin and Zhaopei Liu and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Han Zeng

47 papers receiving 1.6k citations

Hit Papers

CD36-mediated metabolic crosstalk between tumor cells and... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Zeng China 19 699 506 499 478 344 59 1.6k
Géraldine Gentric France 13 951 1.4× 408 0.8× 752 1.5× 602 1.3× 180 0.5× 17 1.8k
Mengyu Feng China 18 791 1.1× 306 0.6× 748 1.5× 581 1.2× 193 0.6× 36 1.6k
Fanny Dupuy Canada 7 1.4k 1.9× 439 0.9× 471 0.9× 971 2.0× 146 0.4× 8 2.1k
Xingzhe Ma China 19 1.1k 1.5× 1.2k 2.3× 770 1.5× 1.1k 2.2× 556 1.6× 25 2.6k
Xiaoying Shi China 12 890 1.3× 327 0.6× 641 1.3× 284 0.6× 369 1.1× 31 1.6k
Lizong Shen China 26 1.0k 1.4× 361 0.7× 670 1.3× 471 1.0× 415 1.2× 52 1.9k
Eunice Y. Lau Hong Kong 20 1.1k 1.6× 397 0.8× 624 1.3× 755 1.6× 174 0.5× 37 2.0k
Sabine Müller‐Brüsselbach Germany 22 982 1.4× 488 1.0× 326 0.7× 460 1.0× 104 0.3× 40 1.7k
Yoshiro Itatani Japan 23 865 1.2× 569 1.1× 1.1k 2.1× 524 1.1× 283 0.8× 72 2.1k
Toshiro Migita Japan 25 1.6k 2.3× 219 0.4× 511 1.0× 1.0k 2.2× 449 1.3× 38 2.4k

Countries citing papers authored by Han Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Han Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Han Zeng. A scholar is included among the top collaborators of Han Zeng 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 Han Zeng. Han Zeng 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.
Liu, Zhaopei, Kaifeng Jin, Han Zeng, et al.. (2025). ARID1A Loss plus CD8+ T-Cell Infiltration Associate with Favorable Clinical Outcomes in Urothelial Carcinoma. Clinical Cancer Research. 31(20). 4311–4322. 1 indexed citations
3.
Jin, Kaifeng, Zhaopei Liu, Han Zeng, et al.. (2025). Lethal clinical outcome and chemotherapy and immunotherapy resistance in patients with urothelial carcinoma with MDM2 amplification or overexpression. Journal for ImmunoTherapy of Cancer. 13(1). e010964–e010964. 1 indexed citations
4.
5.
Yang, Juan, Guihua Du, Rong Zhong, et al.. (2025). Histone hyperacetylation disrupts spermatogonial stem cells homeostasis and impairs spermiogenesis. Stem Cell Research & Therapy. 16(1). 305–305.
7.
Zeng, Han, Bin Zhang, Lu Yu, et al.. (2024). Heterogeneity and tumoral origin of medulloblastoma in the single-cell era. Oncogene. 43(12). 839–850. 10 indexed citations
8.
Shao, Fei, Kaifeng Jin, Bingyu Li, et al.. (2023). Integrating angiogenesis signature and tumor mutation burden for improved patient stratification in immune checkpoint blockade therapy for muscle-invasive bladder cancer. Urologic Oncology Seminars and Original Investigations. 41(10). 433.e9–433.e18. 2 indexed citations
9.
Liu, Zhaopei, Kaifeng Jin, Han Zeng, et al.. (2022). B7-H4 correlates with clinical outcome and immunotherapeutic benefit in muscle-invasive bladder cancer. European Journal of Cancer. 171. 133–142. 11 indexed citations
10.
Jin, Shengming, Han Zeng, Zhaopei Liu, et al.. (2022). Stromal Tumor-Associated Macrophage Infiltration Predicts Poor Clinical Outcomes in Muscle-Invasive Bladder Cancer Patients. Annals of Surgical Oncology. 29(4). 2495–2503. 4 indexed citations
11.
Liu, Zhaopei, Han Zeng, Kaifeng Jin, et al.. (2022). TIGIT and PD-1 expression atlas predicts response to adjuvant chemotherapy and PD-L1 blockade in muscle-invasive bladder cancer. British Journal of Cancer. 126(9). 1310–1317. 14 indexed citations
12.
Zeng, Han, Hong Qin, Enze Zheng, et al.. (2022). HIF-2α-induced upregulation of CD36 promotes the development of ccRCC. Experimental Cell Research. 421(2). 113389–113389. 14 indexed citations
13.
Yang, Ping, Hong Qin, Yiyu Li, et al.. (2022). CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasis. Nature Communications. 13(1). 5782–5782. 201 indexed citations breakdown →
14.
Zeng, Han, Kaifeng Jin, Zhaopei Liu, et al.. (2022). Immune inactivation by neuropilin-1 predicts clinical outcome and therapeutic benefit in muscle-invasive bladder cancer. Cancer Immunology Immunotherapy. 71(9). 2117–2126. 2 indexed citations
15.
Liu, Zhaopei, Kaifeng Jin, Han Zeng, et al.. (2022). Integrative tumour mutation burden with CD39 and PD-L1 for the prediction of response to PD-L1 blockade and adjuvant chemotherapy in muscle-invasive bladder cancer patients. British Journal of Cancer. 127(9). 1718–1725. 2 indexed citations
16.
Zeng, Han, Zhaopei Liu, Kaifeng Jin, et al.. (2021). Latency-associated peptide identifies therapeutically resistant muscle-invasive bladder cancer with poor prognosis. Cancer Immunology Immunotherapy. 71(2). 301–310. 4 indexed citations
17.
Zeng, Han, Hong Qin, Enze Zheng, et al.. (2021). CD36 promotes de novo lipogenesis in hepatocytes through INSIG2-dependent SREBP1 processing. Molecular Metabolism. 57. 101428–101428. 137 indexed citations
18.
Wang, Tao, Quan Zhou, Han Zeng, et al.. (2020). CCR8 blockade primes anti-tumor immunity through intratumoral regulatory T cells destabilization in muscle-invasive bladder cancer. Cancer Immunology Immunotherapy. 69(9). 1855–1867. 40 indexed citations
19.
Yang, Ping, Xuan Luo, Han Zeng, et al.. (2018). Dietary oleic acid-induced CD36 promotes cervical cancer cell growth and metastasis via up-regulation Src/ERK pathway. Cancer Letters. 438. 76–85. 108 indexed citations
20.
Zhang, Xin, et al.. (2015). WEBGIS based CropWatch online agriculture monitoring system. 2015 AGU Fall Meeting. 2015. 1 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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