Han‐Ming Shen

42.2k total citations · 14 hit papers
277 papers, 23.3k citations indexed

About

Han‐Ming Shen is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Han‐Ming Shen has authored 277 papers receiving a total of 23.3k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Molecular Biology, 98 papers in Epidemiology and 48 papers in Cancer Research. Recurrent topics in Han‐Ming Shen's work include Autophagy in Disease and Therapy (96 papers), Cell death mechanisms and regulation (30 papers) and Calcium signaling and nucleotide metabolism (15 papers). Han‐Ming Shen is often cited by papers focused on Autophagy in Disease and Therapy (96 papers), Cell death mechanisms and regulation (30 papers) and Calcium signaling and nucleotide metabolism (15 papers). Han‐Ming Shen collaborates with scholars based in Singapore, China and Macao. Han‐Ming Shen's co-authors include Choon Nam Ong, Zheng-gang Liu, Siyuan Zhang, Patrice Codogno, Jing Zhou, Qing Huang, Ranxin Shi, Naidi Yang, Yong Lin and Xia Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Han‐Ming Shen

268 papers receiving 22.9k citations

Hit Papers

Dual Role of 3-Methyladen... 2005 2026 2012 2019 2010 2008 2005 2006 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Han‐Ming Shen 11.0k 5.4k 3.3k 2.0k 2.0k 277 23.3k
Boris Zhivotovsky 19.5k 1.8× 3.9k 0.7× 3.5k 1.1× 2.1k 1.0× 3.0k 1.5× 344 30.5k
Victor Darley‐Usmar 15.2k 1.4× 3.2k 0.6× 2.1k 0.6× 1.0k 0.5× 3.5k 1.8× 373 33.2k
John D. Hayes 27.9k 2.5× 2.6k 0.5× 3.2k 1.0× 2.8k 1.4× 1.7k 0.9× 262 37.1k
Hozumi Motohashi 16.4k 1.5× 2.7k 0.5× 2.2k 0.7× 1.1k 0.5× 2.3k 1.2× 175 22.9k
Hong Zhang 12.5k 1.1× 1.9k 0.3× 2.7k 0.8× 3.1k 1.5× 2.7k 1.3× 946 25.2k
Steven R. Tannenbaum 10.3k 0.9× 1.6k 0.3× 3.3k 1.0× 2.3k 1.1× 2.7k 1.4× 362 30.1k
Irfan Rahman 11.2k 1.0× 2.3k 0.4× 2.6k 0.8× 1.0k 0.5× 3.3k 1.7× 340 30.3k
Alan M. Fogelman 8.5k 0.8× 3.8k 0.7× 3.8k 1.1× 2.1k 1.0× 7.2k 3.6× 266 31.5k
Yung Hyun Choi 12.5k 1.1× 1.7k 0.3× 2.9k 0.9× 2.6k 1.3× 2.3k 1.2× 929 24.6k
Cheng Peng 11.6k 1.1× 1.9k 0.4× 2.7k 0.8× 2.7k 1.3× 1.6k 0.8× 963 25.7k

Countries citing papers authored by Han‐Ming Shen

Since Specialization
Citations

This map shows the geographic impact of Han‐Ming 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‐Ming 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‐Ming Shen more than expected).

Fields of papers citing papers by Han‐Ming Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han‐Ming Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Ming Shen. A scholar is included among the top collaborators of Han‐Ming 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‐Ming Shen. Han‐Ming 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.
Wang, Jingyao, Mingzhu Tang, Yichi Zhang, et al.. (2025). Coupling of glucose metabolism with mitophagy via O-GlcNAcylation of PINK1. International Journal of Biological Sciences. 21(9). 4252–4269.
2.
Li, Fengming, Xiaofang Huang, Yue Li, et al.. (2025). Integrated thermal proteome and thermal proximity co-aggregation profiling identifies ATP6V1C1 as a novel anti-cancer drug target. International Journal of Biological Sciences. 21(7). 3197–3213. 1 indexed citations
3.
Tang, Mingzhu, Guang Lu, Haimei Tang, et al.. (2025). A positive feedback loop between SMAD3 and PINK1 in regulation of mitophagy. Cell Discovery. 11(1). 22–22. 3 indexed citations
4.
Ji, Yongsheng, et al.. (2025). Polydopamine-coated metal–phenolic nanoplatform for synergistic chemo/chemodynamic/photothermal therapy with ROS amplification in breast cancer. Colloids and Surfaces A Physicochemical and Engineering Aspects. 726. 138089–138089.
5.
Tang, Mingzhu, Haimei Tang, Yuan Gao, et al.. (2025). Suppression of the LKB1-AMPK-SLC7A11-GSH signaling pathway sensitizes NSCLC to albumin-bound paclitaxel via oxidative stress. Redox Biology. 81. 103567–103567. 1 indexed citations
6.
Huang, Yaji, et al.. (2024). Interpreting machine learning predictions of Pb2+ adsorption onto biochars produced by a fluidized bed system. Journal of Cleaner Production. 486. 144551–144551. 8 indexed citations
7.
Yang, Jiacai, Zhihui Liu, Xiaohong Hu, et al.. (2024). Skin-Resident γδ T Cells Mediate Potent and Selective Antitumor Cytotoxicity through Directed Chemotactic Migration and Mobilization of Cytotoxic Granules. Journal of Investigative Dermatology. 145(6). 1433–1446.e2.
8.
Wang, Min, Chenguang Shen, Wei Yang, et al.. (2024). A human monoclonal antibody targeting the monomeric N6 neuraminidase confers protection against avian H5N6 influenza virus infection. Nature Communications. 15(1). 8871–8871. 2 indexed citations
9.
Wan, Wei, Qian Wang, Jin Li, et al.. (2023). STING directly recruits WIPI2 for autophagosome formation during STING‐induced autophagy. The EMBO Journal. 42(8). e112387–e112387. 46 indexed citations
10.
Liao, Qiwen, Yang Yu, Guo‐Yuan Zhu, et al.. (2023). Enhancement of efferocytosis through biased FPR2 signaling attenuates intestinal inflammation. EMBO Molecular Medicine. 15(12). e17815–e17815. 23 indexed citations
11.
Guo, Dongbo, Josh Haipeng Lei, Tesen Zhang, et al.. (2022). Photocatalytic Pt(IV)‐Coordinated Carbon Dots for Precision Tumor Therapy. Advanced Science. 9(36). e2205106–e2205106. 61 indexed citations
12.
Wu, Bangyuan, Li Ren Kong, Chin Wen Png, et al.. (2021). DUSP16 promotes cancer chemoresistance through regulation of mitochondria-mediated cell death. Nature Communications. 12(1). 2284–2284. 48 indexed citations
13.
Tang, Yancheng, Liming Wang, Tao Yi, et al.. (2021). Synergistic effects of autophagy/mitophagy inhibitors and magnolol promote apoptosis and antitumor efficacy. Acta Pharmaceutica Sinica B. 11(12). 3966–3982. 44 indexed citations
14.
Luo, Piao, Dandan Liu, Qian Zhang, et al.. (2021). Celastrol induces ferroptosis in activated HSCs to ameliorate hepatic fibrosis via targeting peroxiredoxins and HO-1. Acta Pharmaceutica Sinica B. 12(5). 2300–2314. 233 indexed citations breakdown →
15.
Wang, Zixuan, Jing Ma, Xinyu Li, et al.. (2020). Quercetin induces p53‐independent cancer cell death through lysosome activation by the transcription factor EB and Reactive Oxygen Species‐dependent ferroptosis. British Journal of Pharmacology. 178(5). 1133–1148. 173 indexed citations
16.
Chew, Katherine C. M., Eng‐Tat Ang, Yee Kit Tai, et al.. (2011). Enhanced Autophagy from Chronic Toxicity of Iron and Mutant A53T α-Synuclein. Journal of Biological Chemistry. 286(38). 33380–33389. 73 indexed citations
17.
Zhou, Jing, et al.. (2008). Andrographolide sensitizes cancer cells to TRAIL-induced apoptosis via p53-mediated death receptor 4 up-regulation. Molecular Cancer Therapeutics. 7(7). 2170–2180. 96 indexed citations
18.
Zhang, Siyuan, Zhi Li, Ximei Wu, et al.. (2006). Methyl-3-indolylacetate inhibits cancer cell invasion by targeting the MEK1/2-ERK1/2 signaling pathway. Molecular Cancer Therapeutics. 5(12). 3285–3293. 23 indexed citations
19.
Shen, Han‐Ming, et al.. (2004). 广西原发性肝细胞癌与p53基因72密码子单核苷酸多态性密切相关. 42(5). 313–314. 7 indexed citations
20.
Yu, Hui, et al.. (1990). The effectiveness of some anticoccidial drugs against Eimeria acervulina.. 16(9). 29–30. 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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