Li-Chung Ma
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 2
-
- interferon and immune responses 4
- Immune Response and Inflammation 2
- Co-authors
- Robert M. Krug (8 shared papers)G.T. Montelione (10 shared papers)James M. Aramini (5 shared papers)Kalyan Das (2 shared papers)Eddy Arnold (2 shared papers)G.V.T. Swapna (4 shared papers)Thomas Acton (2 shared papers)Li Zhao (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Biotechnology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Li-Chung Ma
11 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 109
- Epidemiology 466
- Immunology 295
- Microbiology 70
- Molecular Biology 772
Countries citing papers authored by Li-Chung Ma
This map shows the geographic impact of Li-Chung 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 Li-Chung Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Chung Ma more than expected).
Fields of papers citing papers by Li-Chung Ma
This network shows the impact of papers produced by Li-Chung 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 Li-Chung Ma. The network helps show where Li-Chung Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Chung 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 297 | |
| 2 | 2010 | 289 | |
| 3 | 2008 | 189 | |
| 4 | 2003 | 189 | |
| 5 | 2006 | 171 | |
| 6 | 2011 | 58 | |
| 7 | 2014 | 48 | |
| 8 | 2011 | 47 | |
| 9 | 2011 | 40 | |
| 10 | 2010 | 6 | |
| 11 | 2011 | 3 |
About Li-Chung Ma
Li-Chung Ma is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Cell Biology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), interferon and immune responses (4 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune Response and Inflammation (2 papers), GaN-based semiconductor devices and materials (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Biological Psychiatry (109 citations), Epidemiology (466 citations), Immunology (295 citations), Microbiology (70 citations) and Molecular Biology (772 citations). Li-Chung Ma has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Robert M. Krug, G.T. Montelione, James M. Aramini, Kalyan Das, Eddy Arnold, G.V.T. Swapna, Thomas Acton, Li Zhao, Rong Xiao and Mitsuhiko Ikura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology, Bioorganic & Medicinal Chemistry Letters, Nature Structural & Molecular Biology 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.