Shaolin He
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 6
- IL-33, ST2, and ILC Pathways 3
- T-cell and B-cell Immunology 2
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- Circular RNAs in diseases 3
- Co-authors
- Dazhu Li (22 shared papers)Akm Khyrul Wara (4 shared papers)Mark W. Feinberg (4 shared papers)Xinghui Sun (4 shared papers)Basak Icli (4 shared papers)Nathan Belkin (2 shared papers)Timothy S. Blackwell (2 shared papers)Gary M. Hunninghake (1 shared paper)
- Journals
- Cellular Physiology and Biochemistry (5 papers)Frontiers in Immunology (4 papers)Journal of Molecular and Cellular Cardiology (2 papers)Journal of Visualized Experiments (2 papers)Frontiers in Genetics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shaolin He
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 470
- Immunology 351
- Molecular Biology 558
- Immunology and Allergy 29
- Cardiology and Cardiovascular Medicine 96
Countries citing papers authored by Shaolin He
This map shows the geographic impact of Shaolin 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 Shaolin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin He more than expected).
Fields of papers citing papers by Shaolin He
This network shows the impact of papers produced by Shaolin 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 Shaolin He. The network helps show where Shaolin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 404 | |
| 2 | 2013 | 253 | |
| 3 | 2009 | 90 | |
| 4 | 2015 | 67 | |
| 5 | 2010 | 45 | |
| 6 | 2017 | 43 | |
| 7 | 2018 | 40 | |
| 8 | 2016 | 38 | |
| 9 | 2010 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2015 | 24 | |
| 12 | 2021 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2011 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2014 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2012 | 10 |
About Shaolin He
Shaolin He is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Geophysics, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Cancer-related molecular mechanisms research (4 papers), earthquake and tectonic studies (3 papers), Circular RNAs in diseases (3 papers), IL-33, ST2, and ILC Pathways (3 papers), MicroRNA in disease regulation (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cancer Research (470 citations), Immunology (351 citations), Molecular Biology (558 citations), Immunology and Allergy (29 citations) and Cardiology and Cardiovascular Medicine (96 citations). Shaolin He has collaborated with scholars based in China and United States. Frequent co-authors include Dazhu Li, Akm Khyrul Wara, Mark W. Feinberg, Xinghui Sun, Basak Icli, Nathan Belkin, Timothy S. Blackwell, Gary M. Hunninghake, Lester Kobzik and Rebecca M. Baron. Their work appears in journals such as Cellular Physiology and Biochemistry, Frontiers in Immunology, Journal of Molecular and Cellular Cardiology, Journal of Visualized Experiments and Frontiers in Genetics.
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.