Chunlong Ma
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 13
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 13
- Epidemiology top 2%
- Influenza Virus Research Studies 42
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 25
- Protein Structure and Dynamics 14
- Receptor Mechanisms and Signaling 11
- Nicotinic Acetylcholine Receptors Study 8
- Organic Chemistry top 5%
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- Viral Infections and Immunology Research 13
- Co-authors
- Jun WangYanmei HuRobert A. LambLawrence H. PintoWilliam F. DeGradoMichael T. MartyJulia A. TownsendYu Chen
- Journals
- Journal of Medicinal Chemistry (9 papers)Antiviral Research (5 papers)ACS Infectious Diseases (5 papers)
- Partner nations
- United StatesGreeceSpain
In The Last Decade
Chunlong Ma
72 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 1.3k
- Infectious Diseases 1.4k
- Epidemiology 1.4k
- Molecular Biology 2.0k
- Organic Chemistry 693
Countries citing papers authored by Chunlong Ma
This map shows the geographic impact of Chunlong 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 Chunlong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlong Ma more than expected).
Fields of papers citing papers by Chunlong Ma
This network shows the impact of papers produced by Chunlong 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 Chunlong Ma. The network helps show where Chunlong Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunlong 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 | 2023 | 6 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 112 | |
| 5 | Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main proteasebreakdown → | 2020 | 616 |
| 6 | 2019 | 13 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 31 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 27 | |
| 13 | 2016 | 29 | |
| 14 | 2013 | 28 | |
| 15 | 2013 | 50 | |
| 16 | 2011 | 17 | |
| 17 | 2008 | 49 | |
| 18 | 2007 | 32 | |
| 19 | 2006 | 9 | |
| 20 | 2004 | 17 |
About Chunlong Ma
Chunlong Ma is a scholar working on Epidemiology, Computational Theory and Mathematics, Infectious Diseases, Molecular Biology and Medical Laboratory Technology, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (42 papers), RNA and protein synthesis mechanisms (25 papers), Protein Structure and Dynamics (14 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Computational Drug Discovery Methods (13 papers), Viral Infections and Immunology Research (13 papers), Receptor Mechanisms and Signaling (11 papers) and Nicotinic Acetylcholine Receptors Study (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Infectious Diseases (1.4k citations), Epidemiology (1.4k citations), Molecular Biology (2.0k citations) and Organic Chemistry (693 citations). Chunlong Ma has collaborated with scholars based in United States, Greece and Spain. Frequent co-authors include Jun Wang, Yanmei Hu, Robert A. Lamb, Lawrence H. Pinto, William F. DeGrado, Michael T. Marty, Julia A. Townsend, Yu Chen, M. Sacco and Tommy Szeto. Their work appears in journals such as Journal of Medicinal Chemistry, Antiviral Research, ACS Infectious Diseases, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.