Param Priya Singh
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Aquatic Science top 5%
Papers in
-
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
- Advanced biosensing and bioanalysis techniques 2
- RNA Research and Splicing 2
-
- Fish biology, ecology, and behavior 7
- Co-authors
- Anne Brunet (12 shared papers)Hervé Isambert (7 shared papers)Bérénice A. Benayoun (5 shared papers)Itamar Harel (5 shared papers)Brittany A. Demmitt (1 shared paper)Ravi D. Nath (1 shared paper)Andrew McKay (3 shared papers)Eric J. Huang (1 shared paper)
- Journals
- Cell (4 papers)Cell Reports (2 papers)PLoS Computational Biology (2 papers)Genome Research (2 papers)Channels (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Param Priya Singh
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Aging 210
- Aquatic Science 113
- Nature and Landscape Conservation 177
- Neurology 89
- Physiology 244
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 218 | |
| 2 | 2017 | 170 | |
| 3 | 2019 | 165 | |
| 4 | 2015 | 159 | |
| 5 | 2015 | 156 | |
| 6 | 2015 | 97 | |
| 7 | 2020 | 63 | |
| 8 | 2019 | 51 | |
| 9 | 2012 | 37 | |
| 10 | 2017 | 25 | |
| 11 | 2018 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2020 | 14 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2014 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2011 | 4 | |
| 20 | 2024 | 3 |
About Param Priya Singh
Param Priya Singh is a scholar working on Molecular Biology, Nature and Landscape Conservation, Plant Science, Physiology and Genetics, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (7 papers), Chromosomal and Genetic Variations (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Physiological and biochemical adaptations (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (210 citations), Aquatic Science (113 citations), Nature and Landscape Conservation (177 citations), Neurology (89 citations) and Physiology (244 citations). Param Priya Singh has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Anne Brunet, Hervé Isambert, Bérénice A. Benayoun, Itamar Harel, Brittany A. Demmitt, Ravi D. Nath, Andrew McKay, Eric J. Huang, Aimee W. Kao and Chi‐Kuo Hu. Their work appears in journals such as Cell, Cell Reports, PLoS Computational Biology, Genome Research 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.