Kun He
Impact in
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- Ubiquitin and proteasome pathways
- Polyamine Metabolism and Applications
- Metabolomics and Mass Spectrometry Studies
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Ubiquitin and proteasome pathways 9
- Metabolomics and Mass Spectrometry Studies 4
- RNA regulation and disease 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Immunotherapy and Immune Responses 2
- Co-authors
- Xuemin Zhang (14 shared papers)Tao Zhou (12 shared papers)Huiyan Li (9 shared papers)Hongxia Wang (11 shared papers)Xin Pan (6 shared papers)Ming Yu (4 shared papers)Ai-Ling Li (3 shared papers)Jiang-Hong Man (3 shared papers)
- Journals
- PROTEOMICS (3 papers)Nature Communications (2 papers)ACS Omega (2 papers)Toxins (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Kun He
33 papers receiving 787 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 514
- Cancer Research 101
- Immunology 130
- Biotechnology 51
- Cell Biology 83
Countries citing papers authored by Kun He
This map shows the geographic impact of Kun He'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 Kun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun He more than expected).
Fields of papers citing papers by Kun He
This network shows the impact of papers produced by Kun He. 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 Kun He. The network helps show where Kun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 111 | |
| 2 | 2017 | 61 | |
| 3 | 2007 | 60 | |
| 4 | 2003 | 59 | |
| 5 | 2014 | 49 | |
| 6 | 2005 | 48 | |
| 7 | 2014 | 43 | |
| 8 | 2010 | 38 | |
| 9 | 2005 | 37 | |
| 10 | 2006 | 35 | |
| 11 | 2016 | 33 | |
| 12 | 2019 | 33 | |
| 13 | 2006 | 28 | |
| 14 | 2019 | 22 | |
| 15 | 2022 | 19 | |
| 16 | 2014 | 17 | |
| 17 | 2004 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2006 | 12 |
About Kun He
Kun He is a scholar working on Molecular Biology, Immunology, Spectroscopy, Cell Biology and Cancer Research, having authored 36 papers that have together received 795 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Microtubule and mitosis dynamics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Arsenic contamination and mitigation (2 papers), RNA regulation and disease (2 papers), Immunotherapy and Immune Responses (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Molecular Biology (514 citations), Cancer Research (101 citations), Immunology (130 citations), Biotechnology (51 citations) and Cell Biology (83 citations). Kun He has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Xuemin Zhang, Tao Zhou, Huiyan Li, Hongxia Wang, Xin Pan, Ming Yu, Ai-Ling Li, Jiang-Hong Man, Xue-Min Zhang and Bing Shen. Their work appears in journals such as PROTEOMICS, Nature Communications, ACS Omega, Toxins and Scientific Reports.
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.