M Kuppuswamy
- Virology top 5%
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms 8
- Hemophilia Treatment and Research 4
- Internal Medicine top 5%
- Genetics top 5%
- Virus-based gene therapy research 14
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 4
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects 7
- RNA Interference and Gene Delivery 4
- Cancer-related gene regulation 3
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- CAR-T cell therapy research 7
- Co-authors
- G. ChinnaduraiT. SubramanianS Paul BajajS G SpitzerMegha BajajAshish SrinivasanSP BajajSunanda Basu
- Cited by
- VirologyHematologyInternal Medicine
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
M Kuppuswamy
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 72
- Virology 217
- Hematology 400
- Internal Medicine 85
- Genetics 525
- Molecular Biology 766
Countries citing papers authored by M Kuppuswamy
This map shows the geographic impact of M Kuppuswamy'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 M Kuppuswamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kuppuswamy more than expected).
Fields of papers citing papers by M Kuppuswamy
This network shows the impact of papers produced by M Kuppuswamy. 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 M Kuppuswamy. The network helps show where M Kuppuswamy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M Kuppuswamy, 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 | 2015 | 4 | |
| 2 | 2014 | 6 | |
| 3 | 2010 | 8 | |
| 4 | 2009 | 47 | |
| 5 | 2009 | 41 | |
| 6 | 2009 | 43 | |
| 7 | 2007 | 39 | |
| 8 | 2007 | 95 | |
| 9 | 2005 | 35 | |
| 10 | 1999 | 66 | |
| 11 | 1993 | 9 | |
| 12 | 1992 | 79 | |
| 13 | 1991 | 143 | |
| 14 | 1990 | 37 | |
| 15 | 1990 | 17 | |
| 16 | 1989 | 220 | |
| 17 | An N-terminal region of adenovirus E1a essential for cell transformation and induction of an epithelial cell growth factor. | 1988 | 65 |
| 18 | Separation of immortalization and T24-ras oncogene cooperative functions of adenovirus E1a. | 1988 | 9 |
| 19 | 1985 | 3 | |
| 20 | 1984 | 85 |
About M Kuppuswamy
M Kuppuswamy is a scholar working on Hematology, Genetics and Genetics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), CAR-T cell therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), RNA Interference and Gene Delivery (4 papers), Hemophilia Treatment and Research (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Virology (217 citations), Hematology (400 citations) and Internal Medicine (85 citations). M Kuppuswamy has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include G. Chinnadurai, T. Subramanian, S Paul Bajaj, S G Spitzer, Megha Bajaj, Ashish Srinivasan, SP Bajaj, Sunanda Basu, Afshin Ameri and Hidekazu Saito. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.