Chen Mi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
Papers in ⓘ
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- Cardiac Valve Diseases and Treatments 12
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- Gastric Cancer Management and Outcomes 4
- Vascular Procedures and Complications 3
- Co-authors
- Jian-Song Zhang (1 shared paper)Kun Tan (1 shared paper)He Liu (1 shared paper)Ji Fang (1 shared paper)Wei Wang (1 shared paper)Geoffrey M. Voelker (1 shared paper)Mudan Ren (2 shared papers)Yarui Li (2 shared papers)
- Journals
- JACC: Cardiovascular Interventions (2 papers)Medicine (2 papers)Cell Death and Disease (2 papers)International Journal of Surgery (1 paper)Neurochemical Research (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Chen Mi
52 papers receiving 894 citations
Peers
Comparison fields: 5 of 115
- Cancer Research 252
- Obstetrics and Gynecology 56
- Reproductive Medicine 58
- Computer Networks and Communications 132
- Pharmacology 50
Countries citing papers authored by Chen Mi
This map shows the geographic impact of Chen Mi'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 Chen Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Mi more than expected).
Fields of papers citing papers by Chen Mi
This network shows the impact of papers produced by Chen Mi. 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 Chen Mi. The network helps show where Chen Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Mi, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 156 | |
| 2 | 2018 | 109 | |
| 3 | 2008 | 98 | |
| 4 | 2018 | 75 | |
| 5 | 2014 | 67 | |
| 6 | Diagnoses of HIV infection in the United States and dependent areas (updated), 2018 | 2020 | 32 |
| 7 | 2018 | 29 | |
| 8 | 2019 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2016 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2017 | 19 | |
| 14 | 2014 | 19 | |
| 15 | 2007 | 19 | |
| 16 | 2020 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2014 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2014 | 10 |
About Chen Mi
Chen Mi is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Molecular Biology, having authored 60 papers that have together received 910 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (12 papers), Infective Endocarditis Diagnosis and Management (8 papers), Cancer-related molecular mechanisms research (6 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Cells and Metastasis (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Circular RNAs in diseases (3 papers) and Vascular Procedures and Complications (3 papers). The work is most often cited by research in Cancer Research (252 citations), Obstetrics and Gynecology (56 citations), Reproductive Medicine (58 citations), Computer Networks and Communications (132 citations) and Pharmacology (50 citations). Chen Mi has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Jian-Song Zhang, Kun Tan, He Liu, Ji Fang, Wei Wang, Geoffrey M. Voelker, Mudan Ren, Yarui Li, Shuixiang He and Edwin Cheung. Their work appears in journals such as JACC: Cardiovascular Interventions, Medicine, Cell Death and Disease, International Journal of Surgery and Neurochemical Research.
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.