Mitra C. Singhal
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- David S. Boyle (3 shared papers)Julie Overbaugh (2 shared papers)Lorraine Lillis (2 shared papers)Dara A. Lehman (2 shared papers)Olaf Piepenburg (2 shared papers)Mathew Parker (2 shared papers)Elaine K. Thomas (2 shared papers)Lieping Chen (3 shared papers)
- Journals
- The Journal of Immunology (2 papers)Virology (2 papers)Tropical Medicine & International Health (1 paper)Journal of Virology (1 paper)AIDS (1 paper)
- Partner nations
- United StatesGermanyNepal
In The Last Decade
Mitra C. Singhal
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Virology 312
- Immunology 354
- Infectious Diseases 239
- Epidemiology 294
- Biomedical Engineering 324
Countries citing papers authored by Mitra C. Singhal
This map shows the geographic impact of Mitra C. Singhal'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 Mitra C. Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitra C. Singhal more than expected).
Fields of papers citing papers by Mitra C. Singhal
This network shows the impact of papers produced by Mitra C. Singhal. 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 Mitra C. Singhal. The network helps show where Mitra C. Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitra C. Singhal, 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 | 2013 | 231 | |
| 2 | 1987 | 172 | |
| 3 | 2014 | 142 | |
| 4 | 1988 | 122 | |
| 5 | 1992 | 117 | |
| 6 | 2011 | 96 | |
| 7 | 1997 | 74 | |
| 8 | 2012 | 65 | |
| 9 | 2013 | 32 | |
| 10 | 1993 | 27 | |
| 11 | 1983 | 22 | |
| 12 | 1984 | 16 | |
| 13 | 2011 | 16 | |
| 14 | Presence of fucolipid antigens with mono- and dimeric X determinant (Lex) in the circulating immune complexes of patients with adenocarcinoma. | 1987 | 14 |
| 15 | 1984 | 10 | |
| 16 | 2016 | 6 | |
| 17 | 1985 | 4 | |
| 18 | 1985 | 3 | |
| 19 | 1983 | 3 |
About Mitra C. Singhal
Mitra C. Singhal is a scholar working on Molecular Biology, Genetics, Virology, Epidemiology and Immunology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), HIV Research and Treatment (6 papers), Cervical Cancer and HPV Research (3 papers), Biosensors and Analytical Detection (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Virology (312 citations), Immunology (354 citations), Infectious Diseases (239 citations), Epidemiology (294 citations) and Biomedical Engineering (324 citations). Mitra C. Singhal has collaborated with scholars based in United States, Germany and Nepal. Frequent co-authors include David S. Boyle, Julie Overbaugh, Lorraine Lillis, Dara A. Lehman, Olaf Piepenburg, Mathew Parker, Elaine K. Thomas, Lieping Chen, Niall Armes and K E Hellström. Their work appears in journals such as The Journal of Immunology, Virology, Tropical Medicine & International Health, Journal of Virology and AIDS.
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.