Chunlong Ma

6.1k citations
73 papers · 4.1k indexed · 1 hit paper · h-index 35

Chunlong Ma

72 papers receiving 4.1k citations

Hit Papers

Boceprevir, GC-376, and calpain inhibitors II, XII inhibi...6162020202620222024200400600

Peers

Chunlong Ma
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
Replace Antonios Kolocouris with:
Antonios Kolocouris Greece
Yanmei Hu United States
Pieter Leyssen Belgium
Christophe L. M. J. Verlinde United States
Matheus Froeyen Belgium
Po‐Huang Liang Taiwan
Tanja Schirmeister Germany
Richard C. Bethell United Kingdom
Nadine Homeyer Germany
Chunlong Ma relative to Antonios Kolocouris Greece Antonios Kolocouris's profile →
Citations per field
00.5×3.2×
Antonios Kolocouris · 1×
Citations per year

Countries citing papers authored by Chunlong Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chunlong Ma Line = papers co-authored together Chunlong Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 202210
3 202216
4 2021112
5
Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main proteasebreakdown →
2020616
6 201913
7 201827
8 20186
9 201831
10 201714
11 201729
12 201727
13 201629
14 201328
15 201350
16 201117
17 200849
18 200732
19 20069
20 200417

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.

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