Kumar Nagarathinam
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- Amino Acid Enzymes and Metabolism
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 4
- Lung Cancer Research Studies 1
- Co-authors
- Mikio Tanabe (5 shared papers)David Drew (1 shared paper)Rachel A. North (1 shared paper)Thomas Krey (2 shared papers)L.J. Stroh (1 shared paper)Norimichi Nomura (3 shared papers)So Iwata (3 shared papers)Kehong Liu (3 shared papers)
- Journals
- Virulence (1 paper)The Oncologist (1 paper)Chemical Reviews (1 paper)Frontiers in Immunology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Kumar Nagarathinam
8 papers receiving 386 citations
Kumar Nagarathinam's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Medicine 49
- Biochemistry 30
- Hepatology 20
- Endocrinology 14
- Oncology 66
Countries citing papers authored by Kumar Nagarathinam
This map shows the geographic impact of Kumar Nagarathinam'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 Kumar Nagarathinam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Nagarathinam more than expected).
Fields of papers citing papers by Kumar Nagarathinam
This network shows the impact of papers produced by Kumar Nagarathinam. 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 Kumar Nagarathinam. The network helps show where Kumar Nagarathinam may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Nagarathinam, 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 | Structures and General Transport Mechanisms by the Major Facilitator Superfamily (MFS) Hit paper breakdown → | 2021 | 293 |
| 2 | 2018 | 44 | |
| 3 | 2018 | 24 | |
| 4 | 2017 | 9 | |
| 5 | 2017 | 7 | |
| 6 | 2019 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 |
About Kumar Nagarathinam
Kumar Nagarathinam is a scholar working on Oncology, Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lung Cancer Research Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Tuberculosis Research and Epidemiology (1 paper), Enzyme Structure and Function (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Molecular Medicine (49 citations), Biochemistry (30 citations), Hepatology (20 citations), Endocrinology (14 citations) and Oncology (66 citations). Kumar Nagarathinam has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Mikio Tanabe, David Drew, Rachel A. North, Thomas Krey, L.J. Stroh, Norimichi Nomura, So Iwata, Kehong Liu, Yoshiko Nakada-Nakura and Milton T. Stubbs. Their work appears in journals such as Virulence, The Oncologist, Chemical Reviews, Frontiers in Immunology and International Journal of Molecular 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.