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-Methyladenine in Modulation of Autophagy v... 2005 2026 2012 2019 2010 2008 2005 2006 2015 250 500 750

Peers

Han‐Ming Shen
Comparison fields: 5 of 181
  • Molecular Biology 11.0k
  • Epidemiology 5.4k
  • Cancer Research 3.3k
  • Plant Science 2.0k
  • Immunology 2.0k
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Citations per field, relative to Han‐Ming Shen
Han‐Ming Shen · 1×
Citations per year, relative to Han‐Ming Shen
Han‐Ming Shen · 1×

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
# Work Indexed citations
1 0
2 1
3 3
4 0
5 1
6 8
7 2
8 0
9
Macrophage plasticity: signaling pathways, tissue repair, and regeneration breakdown →
93
10 11
11 23
12 46
13 61
14 48
15 44
16
Celastrol induces ferroptosis in activated HSCs to ameliorate hepatic fibrosis via targeting peroxiredoxins and HO-1 breakdown →
233
17 73
18 96
19 23
20
The effectiveness of some anticoccidial drugs against Eimeria acervulina.
1

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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