Ming He
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Atherosclerosis and Cardiovascular Diseases
Papers in
-
- Kruppel-like factors research 5
- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 5
- Inflammasome and immune disorders 4
- RNA modifications and cancer 4
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 7
- Co-authors
- Marcy Martin (8 shared papers)Zhen Chen (6 shared papers)Humaira Gowher (7 shared papers)Lama AlAbdi (5 shared papers)Brendan Gongol (7 shared papers)Zuyi Yuan (8 shared papers)Traci Marin (6 shared papers)Panjamaporn Sangwung (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Circulation (2 papers)JCI Insight (2 papers)Disease Markers (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming He
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 164
- Immunology 164
- Molecular Biology 489
- Cell Biology 78
- Cardiology and Cardiovascular Medicine 86
Countries citing papers authored by Ming He
This map shows the geographic impact of Ming 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 Ming He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming He more than expected).
Fields of papers citing papers by Ming He
This network shows the impact of papers produced by Ming 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 Ming He. The network helps show where Ming He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2017 | 91 | |
| 3 | 2016 | 50 | |
| 4 | 2019 | 50 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 44 | |
| 7 | 2021 | 41 | |
| 8 | 2018 | 40 | |
| 9 | 2016 | 39 | |
| 10 | 2013 | 36 | |
| 11 | 2016 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2019 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2022 | 26 | |
| 17 | 2021 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2013 | 21 | |
| 20 | 2022 | 19 |
About Ming He
Ming He is a scholar working on Molecular Biology, Immunology, Surgery, Cancer Research and Epidemiology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Kruppel-like factors research (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers), Inflammasome and immune disorders (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (164 citations), Immunology (164 citations), Molecular Biology (489 citations), Cell Biology (78 citations) and Cardiology and Cardiovascular Medicine (86 citations). Ming He has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Marcy Martin, Zhen Chen, Humaira Gowher, Lama AlAbdi, Brendan Gongol, Zuyi Yuan, Traci Marin, Panjamaporn Sangwung, Jian Kang and Hsi‐Yuan Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, JCI Insight and Disease Markers.
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.