Han Shen

1.3k total citations · 1 hit paper
65 papers, 905 citations indexed

About

Han Shen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Han Shen has authored 65 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Oncology and 19 papers in Immunology. Recurrent topics in Han Shen's work include CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (10 papers). Han Shen is often cited by papers focused on CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (10 papers). Han Shen collaborates with scholars based in China, United States and Pakistan. Han Shen's co-authors include Hongwei Shao, Fenglin Wu, Leonard Chess, Gideon Goldstein, Mary Anne Talle, L Rogozinski, O H Irigoyen, Rongxin Zhang, Wenfeng Zhang and Chenyue Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Han Shen

61 papers receiving 870 citations

Hit Papers

Immune checkpoint inhibitors: breakthroughs in cancer tre... 2024 2026 2025 2024 20 40 60
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. Immune checkpoint inhibitors: breakthroughs in cancer treatment
    2024 61 citations Jinyi Zhang, Shuwei Chen et al. Cancer Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Shen China 17 432 311 224 118 81 65 905
Curtis J. Henry United States 16 272 0.6× 433 1.4× 213 1.0× 101 0.9× 31 0.4× 49 887
Saroj K. Basak United States 17 368 0.9× 320 1.0× 262 1.2× 126 1.1× 41 0.5× 33 852
Sarah Krausz Netherlands 15 578 1.3× 433 1.4× 197 0.9× 117 1.0× 22 0.3× 26 1.2k
Heinz‐Joachim Radzun Germany 15 488 1.1× 289 0.9× 235 1.0× 137 1.2× 84 1.0× 38 1.0k
Ursula Vinatzer Austria 16 448 1.0× 246 0.8× 346 1.5× 128 1.1× 41 0.5× 18 1.1k
Krzysztof Grzegorzewski United States 15 312 0.7× 370 1.2× 214 1.0× 52 0.4× 88 1.1× 34 862
Rosalía I. Cordo Russo Argentina 14 432 1.0× 547 1.8× 203 0.9× 154 1.3× 48 0.6× 27 1.1k
Nele Berghmans Belgium 19 288 0.7× 369 1.2× 260 1.2× 66 0.6× 26 0.3× 47 875
Apollina Goel United States 18 639 1.5× 138 0.4× 258 1.2× 110 0.9× 68 0.8× 23 1.1k
Tengfei Li United States 12 228 0.5× 334 1.1× 524 2.3× 107 0.9× 37 0.5× 30 916

Countries citing papers authored by Han Shen

Since Specialization
Citations

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

Fields of papers citing papers by Han Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Han Shen. A scholar is included among the top collaborators of Han Shen 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 Shen. Han Shen 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.
Cheng, Siyun, Xiaojie Chu, Zhongyu Wang, et al.. (2025). Uncovering potential biomarkers and metabolic pathways in systemic lupus erythematosus and lupus nephritis through integrated microbiome and metabolome analysis. BMC Microbiology. 25(1). 275–275. 1 indexed citations
2.
Han, Jiayi, Jianqing Huang, Wen-Kai Shi, et al.. (2024). miR-744-5p promotes T-cell differentiation via inhibiting STK11. Gene. 926. 148635–148635. 1 indexed citations
3.
Zhang, Jinyi, et al.. (2024). Immune checkpoint inhibitors: breakthroughs in cancer treatment. Cancer Biology and Medicine. 21(6). 1–11. 61 indexed citations breakdown →
4.
Pan, Ting, Junlong Huang, Kang Zhang, et al.. (2024). Macular vascular and photoreceptor changes for diabetic macular edema at early stage. Scientific Reports. 14(1). 20544–20544. 2 indexed citations
5.
Yang, Ping, Rui Xu, Fei Chen, et al.. (2023). Fungal gut microbiota dysbiosis in systemic lupus erythematosus. Frontiers in Microbiology. 14. 1149311–1149311. 13 indexed citations
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Cao, Xiaoli, Chuchu Li, Jia Li, et al.. (2023). Housekeeping gene stability in Pesudomonas aeruginosa PAO1 under the pressure of commonly used antibiotics in molecular microbiology assays. Frontiers in Microbiology. 14. 1140515–1140515. 13 indexed citations
10.
Ye, Ting, Bin Zhang, Jing Liu, et al.. (2022). Chemokine CCL17 Affects Local Immune Infiltration Characteristics and Early Prognosis Value of Lung Adenocarcinoma. Frontiers in Cell and Developmental Biology. 10. 816927–816927. 16 indexed citations
11.
Huang, Jianqing, Lijun Yan, Jiayi Han, et al.. (2022). miR-150 promotes progressive T cell differentiation via inhibiting FOXP1 and RC3H1. Human Immunology. 83(11). 778–788. 5 indexed citations
12.
Gao, Shuo, Xiaolei Ma, Yi Kang, et al.. (2022). Brain abscess caused by Scedosporium boydii in a systemic lupus erythematosus patient: A case report and literature review. Indian Journal of Medical Microbiology. 40(4). 611–615. 8 indexed citations
13.
Yang, Ping, Xiaoshan Zhang, Shanshan Chen, et al.. (2021). A Novel Serum tsRNA for Diagnosis and Prediction of Nephritis in SLE. Frontiers in Immunology. 12. 735105–735105. 41 indexed citations
14.
Liu, Jing, Bin Zhang, Ting Ye, et al.. (2021). Prognostic modeling of patients with metastatic melanoma based on tumor immune microenvironment characteristics. Mathematical Biosciences & Engineering. 19(2). 1448–1470. 5 indexed citations
15.
Chen, Ying, Lan Huang, Changli Tao, et al.. (2020). Effect of AKT1 (p. E17K) Hotspot Mutation on Malignant Tumorigenesis and Prognosis. Frontiers in Cell and Developmental Biology. 8. 573599–573599. 38 indexed citations
16.
Wang, Hui, Hua Lu, Zhao Chen, et al.. (2020). Development of a Self-Restricting CRISPR-Cas9 System to Reduce Off-Target Effects. Molecular Therapy — Methods & Clinical Development. 18. 390–401. 14 indexed citations
17.
Shen, Han, Chenyue Ding, Songtao Yuan, et al.. (2020). Vitamin C- and Valproic Acid-Induced Fetal RPE Stem-like Cells Recover Retinal Degeneration via Regulating SOX2. Molecular Therapy. 28(7). 1645–1657. 9 indexed citations
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Zhang, Wenfeng, Fenglin Wu, Hongwei Shao, et al.. (2013). Chimeric adenoviral vector Ad5F35L containing the Ad5 natural long-shaft exhibits efficient gene transfer into human T lymphocytes. Journal of Virological Methods. 194(1-2). 52–59. 5 indexed citations
20.
Shen, Han. (2008). A Comparative Study of Insider Trading Regulation Enforcement In the U.S. and China. SSRN Electronic Journal. 13 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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