Vanitha Subramanian
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 3
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- Raymond C. Stevens (5 shared papers)Jeremiah S. Joseph (5 shared papers)Kumar Singh Saikatendu (5 shared papers)Benjamin W. Neuman (5 shared papers)Peter Kühn (5 shared papers)Michael J. Buchmeier (5 shared papers)Mark T. Griffith (2 shared papers)Kin Moy (2 shared papers)
- Journals
- Journal of Virology (4 papers)The Journal of Physical Chemistry (2 papers)Structure (1 paper)Journal of the American Chemical Society (1 paper)Cell chemical biology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Vanitha Subramanian
10 papers receiving 561 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 381
- Animal Science and Zoology 160
- Physiology 19
- Computational Theory and Mathematics 54
- Immunology 55
Countries citing papers authored by Vanitha Subramanian
This map shows the geographic impact of Vanitha Subramanian'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 Vanitha Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanitha Subramanian more than expected).
Fields of papers citing papers by Vanitha Subramanian
This network shows the impact of papers produced by Vanitha Subramanian. 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 Vanitha Subramanian. The network helps show where Vanitha Subramanian may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanitha Subramanian, 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 | 157 | |
| 2 | 2007 | 117 | |
| 3 | 2006 | 94 | |
| 4 | 2007 | 74 | |
| 5 | 2007 | 72 | |
| 6 | 2023 | 22 | |
| 7 | 1979 | 16 | |
| 8 | 1978 | 9 | |
| 9 | 1980 | 9 | |
| 10 | 1985 | 2 |
About Vanitha Subramanian
Vanitha Subramanian is a scholar working on Infectious Diseases, Molecular Biology, Organic Chemistry, Surgery and Genetics, having authored 10 papers that have together received 572 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), RNA and protein synthesis mechanisms (2 papers), Chemical Synthesis and Characterization (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Infectious Diseases (381 citations), Animal Science and Zoology (160 citations), Physiology (19 citations), Computational Theory and Mathematics (54 citations) and Immunology (55 citations). Vanitha Subramanian has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Raymond C. Stevens, Jeremiah S. Joseph, Kumar Singh Saikatendu, Benjamin W. Neuman, Peter Kühn, Michael J. Buchmeier, Mark T. Griffith, Kin Moy, Jeffrey Velasquez and Karl Seff. Their work appears in journals such as Journal of Virology, The Journal of Physical Chemistry, Structure, Journal of the American Chemical Society and Cell chemical biology.
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.