Param Priya Singh
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Aquatic Science top 5%
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
-
- Fish biology, ecology, and behavior 4
- Co-authors
- Anne Sophie Brunet (11 shared papers)Hervé Isambert (8 shared papers)Ravi David Nath (1 shared paper)Brittany A. Demmitt (1 shared paper)Andrew S. McKay (3 shared papers)Aimee W. Kao (1 shared paper)Eric Jinsheng Huang (1 shared paper)Chi‐Kuo Hu (5 shared papers)
- Journals
- Cell (4 papers)PLoS Computational Biology (3 papers)Cell Reports (2 papers)Nature Aging (2 papers)Channels (1 paper)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Param Priya Singh
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Aging 194
- Aquatic Science 104
- Nature and Landscape Conservation 176
- Neurology 139
- Physiology 219
Countries citing papers authored by Param Priya Singh
This map shows the geographic impact of Param Priya 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 Param Priya Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Param Priya Singh more than expected).
Fields of papers citing papers by Param Priya Singh
This network shows the impact of papers produced by Param Priya 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 Param Priya Singh. The network helps show where Param Priya Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Param Priya 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2019 | 192 | |
| 3 | 2015 | 179 | |
| 4 | 2015 | 178 | |
| 5 | 2015 | 101 | |
| 6 | 2020 | 68 | |
| 7 | 2019 | 54 | |
| 8 | 2012 | 42 | |
| 9 | 2017 | 29 | |
| 10 | 2018 | 26 | |
| 11 | 2022 | 25 | |
| 12 | 2024 | 20 | |
| 13 | 2014 | 18 | |
| 14 | 2020 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 2024 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2014 | 9 | |
| 19 | 2011 | 4 | |
| 20 | 2013 | 1 |
About Param Priya Singh
Param Priya Singh is a scholar working on Aging, Nature and Landscape Conservation, Molecular Biology, Genetics and Cancer Research, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Fish biology, ecology, and behavior (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Chromosomal and Genetic Variations (3 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Rare Diseases (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Aging (194 citations), Aquatic Science (104 citations), Nature and Landscape Conservation (176 citations), Neurology (139 citations) and Physiology (219 citations). Param Priya Singh has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Anne Sophie Brunet, Hervé Isambert, Ravi David Nath, Brittany A. Demmitt, Andrew S. McKay, Aimee W. Kao, Eric Jinsheng Huang, Chi‐Kuo Hu, Jatin Arora and Bérénice Anath Benayoun. Their work appears in journals such as Cell, PLoS Computational Biology, Cell Reports, Nature Aging and Channels.
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.