Che Ma
Impact in
- Virology top 5%
- Molecular Medicine top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 8
- RNA and protein synthesis mechanisms 8
- Protein Structure and Dynamics 7
-
- Influenza Virus Research Studies 7
- Co-authors
- Stanley J. Opella (9 shared papers)Chi‐Huey Wong (19 shared papers)Francesca M. Marassi (5 shared papers)Juine-Ruey Chen (5 shared papers)Ting-Jen Rachel Cheng (11 shared papers)Yung-Chieh Tseng (5 shared papers)Wei‐Chieh Cheng (8 shared papers)Geoffrey Chang (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Scientific Reports (3 papers)ACS Chemical Biology (2 papers)Biophysical Journal (2 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Che Ma
46 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 115
- Virology 144
- Molecular Medicine 130
- Infectious Diseases 335
- Immunology 381
- Molecular Biology 1.3k
Countries citing papers authored by Che Ma
This map shows the geographic impact of Che 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 Che Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Ma more than expected).
Fields of papers citing papers by Che Ma
This network shows the impact of papers produced by Che 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 Che Ma. The network helps show where Che Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Che 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 257 | |
| 2 | 2007 | 234 | |
| 3 | 2009 | 150 | |
| 4 | 1999 | 142 | |
| 5 | 2021 | 137 | |
| 6 | 2015 | 132 | |
| 7 | 2002 | 109 | |
| 8 | 2000 | 108 | |
| 9 | 2020 | 96 | |
| 10 | 2013 | 91 | |
| 11 | 2020 | 73 | |
| 12 | 2001 | 67 | |
| 13 | 2000 | 67 | |
| 14 | 2008 | 66 | |
| 15 | 2014 | 60 | |
| 16 | 2012 | 59 | |
| 17 | 2015 | 47 | |
| 18 | 2010 | 47 | |
| 19 | 2002 | 44 | |
| 20 | 2010 | 36 |
About Che Ma
Che Ma is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Oncology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (7 papers), Influenza Virus Research Studies (7 papers), Carbohydrate Chemistry and Synthesis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced NMR Techniques and Applications (4 papers). The work is most often cited by research in Virology (144 citations), Molecular Medicine (130 citations), Infectious Diseases (335 citations), Immunology (381 citations) and Molecular Biology (1.3k citations). Che Ma has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Stanley J. Opella, Chi‐Huey Wong, Francesca M. Marassi, Juine-Ruey Chen, Ting-Jen Rachel Cheng, Yung-Chieh Tseng, Wei‐Chieh Cheng, Geoffrey Chang, Owen Pornillos and Chia‐Ying Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, ACS Chemical Biology, Biophysical Journal and Journal of the American Chemical Society.
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.