Parmjit Jat
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 1%
Papers in
- Oncology 33
- Polyomavirus and related diseases 13
- Cancer-related Molecular Pathways 11
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- Prion Diseases and Protein Misfolding 11
- RNA Interference and Gene Delivery 9
- CRISPR and Genetic Engineering 7
- Co-authors
- Ruchi Kumari (3 shared papers)Phillip A. Sharp (8 shared papers)Mark Noble (10 shared papers)Paris Ataliotis (8 shared papers)Yujiro Tanaka (1 shared paper)Lesli H. Larsen (1 shared paper)D Kioussis (1 shared paper)R Whitehead (1 shared paper)
- Journals
- Molecular and Cellular Biology (12 papers)Proceedings of the National Academy of Sciences (12 papers)Oncogene (7 papers)Journal of Molecular Biology (4 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Parmjit Jat
115 papers receiving 8.2k citations
Parmjit Jat's Hit Papers
Peers
Comparison fields: 5 of 136
- Developmental Neuroscience 461
- Aging 207
- Molecular Biology 4.6k
- Oncology 1.6k
- Cancer Research 826
Countries citing papers authored by Parmjit Jat
This map shows the geographic impact of Parmjit Jat'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 Parmjit Jat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parmjit Jat more than expected).
Fields of papers citing papers by Parmjit Jat
This network shows the impact of papers produced by Parmjit Jat. 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 Parmjit Jat. The network helps show where Parmjit Jat may publish in the future.
Co-authors
The 25 scholars most cited alongside Parmjit Jat, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms of Cellular Senescence: Cell Cycle Arrest and Senescence Associated Secretory Phenotype Hit paper breakdown → | 2021 | 1158 |
| 2 | Direct derivation of conditionally immortal cell lines from an H-2Kb-tsA58 transgenic mouse. Hit paper breakdown → | 1991 | 646 |
| 3 | 1993 | 336 | |
| 4 | 1988 | 296 | |
| 5 | 1989 | 295 | |
| 6 | 1995 | 282 | |
| 7 | 2008 | 274 | |
| 8 | 2008 | 254 | |
| 9 | 1994 | 236 | |
| 10 | 2001 | 197 | |
| 11 | 2011 | 169 | |
| 12 | 1986 | 162 | |
| 13 | 1981 | 148 | |
| 14 | 1993 | 137 | |
| 15 | 2003 | 136 | |
| 16 | 1997 | 135 | |
| 17 | 2006 | 122 | |
| 18 | 2011 | 119 | |
| 19 | 1986 | 119 | |
| 20 | 2008 | 108 |
About Parmjit Jat
Parmjit Jat is a scholar working on Oncology, Molecular Biology, Physiology, Genetics and Immunology, having authored 117 papers that have together received 8.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (20 papers), Virus-based gene therapy research (19 papers), Polyomavirus and related diseases (13 papers), Cancer-related Molecular Pathways (11 papers), Prion Diseases and Protein Misfolding (11 papers), RNA Interference and Gene Delivery (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Developmental Neuroscience (461 citations), Aging (207 citations), Molecular Biology (4.6k citations), Oncology (1.6k citations) and Cancer Research (826 citations). Parmjit Jat has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Ruchi Kumari, Phillip A. Sharp, Mark Noble, Paris Ataliotis, Yujiro Tanaka, Lesli H. Larsen, D Kioussis, R Whitehead, Kristen Frederiksen and Ron D. G. McKay. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Oncogene, Journal of Molecular Biology 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.