Jay Sharma
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 3
- DNA Repair Mechanisms 3
- Oncology 12
- Cancer Cells and Metastasis 8
- Co-authors
- Sharmila Shankar (5 shared papers)Rohit Srivastava (4 shared papers)Karan P. Singh (2 shared papers)Daniel G. Meeker (1 shared paper)Su‐Ni Tang (1 shared paper)Stéphanie Cherqui (7 shared papers)Sumedha Gunewardena (1 shared paper)N. K. Sharma (1 shared paper)
- Journals
- Cancer Research (5 papers)Molecular Genetics and Metabolism (2 papers)Oncotarget (2 papers)Journal of Cellular and Molecular Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Jay Sharma
24 papers receiving 976 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 225
- Geriatrics and Gerontology 51
- Oncology 356
- Molecular Biology 655
- Pathology and Forensic Medicine 98
Countries citing papers authored by Jay Sharma
This map shows the geographic impact of Jay Sharma'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 Jay Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Sharma more than expected).
Fields of papers citing papers by Jay Sharma
This network shows the impact of papers produced by Jay Sharma. 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 Jay Sharma. The network helps show where Jay Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Sharma, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 248 | |
| 2 | 2015 | 131 | |
| 3 | 2012 | 129 | |
| 4 | 2011 | 108 | |
| 5 | 2014 | 92 | |
| 6 | 2018 | 55 | |
| 7 | 2014 | 33 | |
| 8 | 2023 | 32 | |
| 9 | 2015 | 30 | |
| 10 | 1991 | 27 | |
| 11 | 2019 | 27 | |
| 12 | 2020 | 23 | |
| 13 | 2011 | 16 | |
| 14 | 2014 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2021 | 4 | |
| 17 | 2015 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2012 | 1 |
About Jay Sharma
Jay Sharma is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Physiology, having authored 25 papers that have together received 994 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Biomedical Research and Pathophysiology (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Neonatal Health and Biochemistry (4 papers), Epigenetics and DNA Methylation (3 papers), Amino Acid Enzymes and Metabolism (3 papers), DNA Repair Mechanisms (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (225 citations), Geriatrics and Gerontology (51 citations), Oncology (356 citations), Molecular Biology (655 citations) and Pathology and Forensic Medicine (98 citations). Jay Sharma has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Sharmila Shankar, Rohit Srivastava, Karan P. Singh, Daniel G. Meeker, Su‐Ni Tang, Stéphanie Cherqui, Sumedha Gunewardena, N. K. Sharma, Sanjit K. Roy and Junsheng Fu. Their work appears in journals such as Cancer Research, Molecular Genetics and Metabolism, Oncotarget, Journal of Cellular and Molecular Medicine and PLoS ONE.
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.