Ming‐Chun Ma
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Genetics top 10%
- Mesenchymal stem cell research
- Chronic Lymphocytic Leukemia Research
Papers in
- Co-authors
- Sung‐Nan Pei (15 shared papers)Ming‐Chung Wang (13 shared papers)Ching‐Yuan Kuo (9 shared papers)Chien‐Hung Chen (3 shared papers)Chuan–Mo Lee (1 shared paper)Tsung‐Hui Hu (1 shared paper)Fan-Yen Lee (6 shared papers)Hon‐Kan Yip (6 shared papers)
- Journals
- Critical Care Medicine (3 papers)Annals of Hematology (2 papers)Scientific Reports (1 paper)British Journal of Cancer (1 paper)Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming‐Chun Ma
28 papers receiving 558 citations
Peers
Comparison fields: 5 of 57
- Hepatology 201
- Genetics 120
- Epidemiology 231
- Hematology 61
- Pathology and Forensic Medicine 68
Countries citing papers authored by Ming‐Chun Ma
This map shows the geographic impact of Ming‐Chun Ma'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‐Chun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chun Ma more than expected).
Fields of papers citing papers by Ming‐Chun Ma
This network shows the impact of papers produced by Ming‐Chun Ma. 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‐Chun Ma. The network helps show where Ming‐Chun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Chun Ma, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 160 | |
| 2 | 2012 | 73 | |
| 3 | 2020 | 62 | |
| 4 | 2015 | 57 | |
| 5 | 2014 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 15 | |
| 9 | 2014 | 14 | |
| 10 | Intra-carotid arterial transfusion of autologous circulatory derived CD34+ cells for old ischemic stroke patients - a phase I clinical trial to evaluate safety and tolerability. | 2018 | 14 |
| 11 | 2015 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2015 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2009 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2011 | 4 |
About Ming‐Chun Ma
Ming‐Chun Ma is a scholar working on Oncology, Genetics, Surgery, Pathology and Forensic Medicine and Hematology, having authored 31 papers that have together received 566 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Viral-associated cancers and disorders (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Mesenchymal stem cell research (3 papers), Hepatitis B Virus Studies (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Hepatology (201 citations), Genetics (120 citations), Epidemiology (231 citations), Hematology (61 citations) and Pathology and Forensic Medicine (68 citations). Ming‐Chun Ma has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Sung‐Nan Pei, Ming‐Chung Wang, Ching‐Yuan Kuo, Chien‐Hung Chen, Chuan–Mo Lee, Tsung‐Hui Hu, Fan-Yen Lee, Hon‐Kan Yip, Pei‐Hsun Sung and Mel S. Lee. Their work appears in journals such as Critical Care Medicine, Annals of Hematology, Scientific Reports, British Journal of Cancer and Medicine.
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.