Premkumar Arumugam
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
Papers in
-
- Hepatitis B Virus Studies 3
- Co-authors
- Rabi Simantov (3 shared papers)Kar Muthumani (5 shared papers)David B. Weiner (5 shared papers)Daniel S. Hwang (5 shared papers)Andrew Y. Choo (4 shared papers)Wei‐Xing Zong (2 shared papers)Evgeny Levin (1 shared paper)Sanjeev Kumar (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (1 paper)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Molecular Therapy (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Retrovirology (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Premkumar Arumugam
18 papers receiving 345 citations
Peers
Comparison fields: 5 of 71
- Virology 94
- Immunology 79
- Physiology 15
- Toxicology 11
- Infectious Diseases 57
Countries citing papers authored by Premkumar Arumugam
This map shows the geographic impact of Premkumar Arumugam'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 Premkumar Arumugam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Premkumar Arumugam more than expected).
Fields of papers citing papers by Premkumar Arumugam
This network shows the impact of papers produced by Premkumar Arumugam. 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 Premkumar Arumugam. The network helps show where Premkumar Arumugam may publish in the future.
Co-authors
The 25 scholars most cited alongside Premkumar Arumugam, 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 | 2005 | 60 | |
| 2 | 2006 | 57 | |
| 3 | 2005 | 42 | |
| 4 | 2005 | 41 | |
| 5 | 2002 | 37 | |
| 6 | 2016 | 34 | |
| 7 | 2012 | 16 | |
| 8 | 2002 | 13 | |
| 9 | 2013 | 13 | |
| 10 | 2001 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2005 | 8 | |
| 13 | 2017 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2006 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2019 | 1 |
About Premkumar Arumugam
Premkumar Arumugam is a scholar working on Molecular Biology, Epidemiology, Organic Chemistry, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (3 papers), HIV/AIDS drug development and treatment (3 papers), Computational Drug Discovery Methods (2 papers), Quinazolinone synthesis and applications (2 papers), Synthesis and Biological Evaluation (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Virology (94 citations), Immunology (79 citations), Physiology (15 citations), Toxicology (11 citations) and Infectious Diseases (57 citations). Premkumar Arumugam has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Rabi Simantov, Kar Muthumani, David B. Weiner, Daniel S. Hwang, Andrew Y. Choo, Wei‐Xing Zong, Evgeny Levin, Sanjeev Kumar, Muniswamy Madesh and M. Lakomek. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry, Molecular Therapy, Bioorganic & Medicinal Chemistry Letters and Retrovirology.
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.