Sanjay Kumar
Impact in
- Health Informatics top 1%
- Genetics top 1%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Surgery 42
- Tissue Engineering and Regenerative Medicine 8
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- RNA Interference and Gene Delivery 9
- Extracellular vesicles in disease 9
- Viral Infectious Diseases and Gene Expression in Insects 5
- Co-authors
- Selvarangan Ponnazhagan (22 shared papers)Diptiman Chanda (7 shared papers)Vikram Sabapathy (6 shared papers)Changchun Ren (5 shared papers)John D. Mountz (2 shared papers)Gandham Mahendra (5 shared papers)Jawad Hussain (3 shared papers)Bangul Khan (3 shared papers)
- Journals
- Human Gene Therapy (6 papers)Journal of Travel Medicine (3 papers)Cancer Research (3 papers)The Lancet (3 papers)Gene Therapy (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Sanjay Kumar
146 papers receiving 3.0k citations
Sanjay Kumar's Hit Papers
Peers
Comparison fields: 5 of 155
- Health Informatics 134
- Genetics 826
- Genetics 570
- Oncology 477
- Molecular Biology 1.1k
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 | Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector Hit paper breakdown → | 2023 | 245 |
| 2 | 2008 | 163 | |
| 3 | 2008 | 152 | |
| 4 | 2010 | 127 | |
| 5 | 2007 | 124 | |
| 6 | 2008 | 118 | |
| 7 | 2014 | 103 | |
| 8 | 2002 | 100 | |
| 9 | 2000 | 99 | |
| 10 | 2016 | 97 | |
| 11 | 2010 | 94 | |
| 12 | 2013 | 90 | |
| 13 | 2011 | 88 | |
| 14 | 2019 | 75 | |
| 15 | 2004 | 61 | |
| 16 | 1971 | 54 | |
| 17 | 2004 | 53 | |
| 18 | 2009 | 49 | |
| 19 | 2012 | 47 | |
| 20 | 2023 | 43 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Surgery, Molecular Biology, Genetics, Genetics and Oncology, having authored 170 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Mesenchymal stem cell research (17 papers), RNA Interference and Gene Delivery (9 papers), Extracellular vesicles in disease (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), CAR-T cell therapy research (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Health Informatics (134 citations), Genetics (826 citations), Genetics (570 citations), Oncology (477 citations) and Molecular Biology (1.1k 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, Gandham Mahendra, Jawad Hussain, Bangul Khan, Abdul Hanan and Beerelli Seshi. Their work appears in journals such as Human Gene Therapy, Journal of Travel Medicine, Cancer Research, The Lancet and Gene Therapy.
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.