Taranjit Singh
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
- Physiology 10
- Telomeres, Telomerase, and Senescence 8
- Co-authors
- Peter D. Adams (14 shared papers)Gary J. Litherland (1 shared paper)Kendal McCulloch (1 shared paper)Parisha P. Shah (4 shared papers)Shelley L. Berger (4 shared papers)David M. Nelson (5 shared papers)John van Tuyn (6 shared papers)Tony McBryan (6 shared papers)
- Journals
- Molecular and Cellular Biochemistry (6 papers)Cells (2 papers)Genes & Development (2 papers)PLoS ONE (1 paper)Ageing Research Reviews (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Taranjit Singh
40 papers receiving 3.2k citations
Taranjit Singh's Hit Papers
Peers
Comparison fields: 5 of 128
- Aging 155
- Physiology 695
- Molecular Biology 1.8k
- Cancer Research 357
- Immunology 438
Countries citing papers authored by Taranjit Singh
This map shows the geographic impact of Taranjit Singh'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 Taranjit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taranjit Singh more than expected).
Fields of papers citing papers by Taranjit Singh
This network shows the impact of papers produced by Taranjit Singh. 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 Taranjit Singh. The network helps show where Taranjit Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Taranjit Singh, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 status determines the role of autophagy in pancreatic tumour development Hit paper breakdown → | 2013 | 577 |
| 2 | 2013 | 392 | |
| 3 | 2013 | 383 | |
| 4 | 2017 | 272 | |
| 5 | 2013 | 253 | |
| 6 | 2016 | 118 | |
| 7 | 2013 | 104 | |
| 8 | 2015 | 99 | |
| 9 | 2016 | 95 | |
| 10 | 2011 | 77 | |
| 11 | 2015 | 72 | |
| 12 | 2013 | 69 | |
| 13 | 2008 | 69 | |
| 14 | 2009 | 68 | |
| 15 | 2008 | 56 | |
| 16 | 2011 | 50 | |
| 17 | 2017 | 46 | |
| 18 | 2021 | 42 | |
| 19 | 2021 | 42 | |
| 20 | 2019 | 41 |
About Taranjit Singh
Taranjit Singh is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Surgery, having authored 44 papers that have together received 3.2k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (8 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (4 papers), Renin-Angiotensin System Studies (3 papers), RNA Research and Splicing (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Aging (155 citations), Physiology (695 citations), Molecular Biology (1.8k citations), Cancer Research (357 citations) and Immunology (438 citations). Taranjit Singh has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Peter D. Adams, Gary J. Litherland, Kendal McCulloch, Parisha P. Shah, Shelley L. Berger, David M. Nelson, John van Tuyn, Tony McBryan, Greg Donahue and Hazel A. Cruickshanks. Their work appears in journals such as Molecular and Cellular Biochemistry, Cells, Genes & Development, PLoS ONE and Ageing Research Reviews.
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.