Sanjay Kumar
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Papers in
- Genetics 19
- Mesenchymal stem cell research 18
- Virus-based gene therapy research 13
- Genetic and phenotypic traits in livestock 4
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- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Selvarangan Ponnazhagan (21 shared papers)Diptiman Chanda (7 shared papers)Vikram Sabapathy (6 shared papers)Changchun Ren (5 shared papers)John D. Mountz (2 shared papers)Saad Abdullah (3 shared papers)Bangul Khan (3 shared papers)Jawad S. Hussain (3 shared papers)
- Journals
- Human Gene Therapy (6 papers)The Lancet (5 papers)Gene Therapy (3 papers)Cancer Research (3 papers)Journal of Travel Medicine (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sanjay Kumar
148 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 132
- Genetics 826
- Health Informatics 193
- Genetics 424
- Infectious Diseases 233
- Biotechnology 85
Countries citing papers authored by Sanjay Kumar
This map shows the geographic impact of Sanjay Kumar'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 Sanjay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kumar more than expected).
Fields of papers citing papers by Sanjay Kumar
This network shows the impact of papers produced by Sanjay Kumar. 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 Sanjay Kumar. The network helps show where Sanjay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 319 | |
| 2 | 2008 | 175 | |
| 3 | 2008 | 162 | |
| 4 | 2010 | 140 | |
| 5 | 2007 | 134 | |
| 6 | 2008 | 120 | |
| 7 | 2014 | 112 | |
| 8 | 2002 | 109 | |
| 9 | 2016 | 108 | |
| 10 | 2000 | 105 | |
| 11 | 2010 | 105 | |
| 12 | 2011 | 104 | |
| 13 | 2013 | 96 | |
| 14 | 2019 | 80 | |
| 15 | 2021 | 79 | |
| 16 | 1971 | 67 | |
| 17 | 2004 | 64 | |
| 18 | 2004 | 57 | |
| 19 | 2012 | 53 | |
| 20 | 2023 | 51 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Genetics, Infectious Diseases, Genetics, Surgery and Pulmonary and Respiratory Medicine, having authored 170 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Virus-based gene therapy research (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Extracellular vesicles in disease (11 papers), Hematopoietic Stem Cell Transplantation (4 papers), Genetic and phenotypic traits in livestock (4 papers), Takotsubo Cardiomyopathy and Associated Phenomena (4 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). The work is most often cited by research in Genetics (826 citations), Health Informatics (193 citations), Genetics (424 citations), Infectious Diseases (233 citations) and Biotechnology (85 citations). Sanjay Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Selvarangan Ponnazhagan, Diptiman Chanda, Vikram Sabapathy, Changchun Ren, John D. Mountz, Saad Abdullah, Bangul Khan, Jawad S. Hussain, Hajira Fatima and Gandham Mahendra. Their work appears in journals such as Human Gene Therapy, The Lancet, Gene Therapy, Cancer Research and Journal of Travel Medicine.
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.