Swathi Arur
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 5
- DNA Repair Mechanisms 3
- Aging 27
- Genetics, Aging, and Longevity in Model Organisms 27
- Co-authors
- Debabrata Das (6 shared papers)Tim Schedl (7 shared papers)Victoria Scranton (1 shared paper)William A. Mohler (1 shared paper)Michael C. Fong (1 shared paper)Karim Rezaul (1 shared paper)David K. Han (1 shared paper)Ann E. Cowan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Developmental Cell (4 papers)Genetics (4 papers)Science Advances (3 papers)Development (3 papers)
- Partner nations
- United StatesSwitzerlandPuerto Rico
In The Last Decade
Swathi Arur
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Aging 759
- Endocrine and Autonomic Systems 176
- Molecular Biology 1.1k
- Immunology 231
- Cell Biology 162
Countries citing papers authored by Swathi Arur
This map shows the geographic impact of Swathi Arur'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 Swathi Arur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swathi Arur more than expected).
Fields of papers citing papers by Swathi Arur
This network shows the impact of papers produced by Swathi Arur. 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 Swathi Arur. The network helps show where Swathi Arur may publish in the future.
Co-authors
The 25 scholars most cited alongside Swathi Arur, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 347 | |
| 2 | 2012 | 198 | |
| 3 | 2011 | 171 | |
| 4 | 2007 | 161 | |
| 5 | 2017 | 142 | |
| 6 | 2009 | 104 | |
| 7 | 2010 | 80 | |
| 8 | 2013 | 64 | |
| 9 | 2014 | 57 | |
| 10 | 2011 | 53 | |
| 11 | 2017 | 46 | |
| 12 | 2013 | 43 | |
| 13 | 2022 | 26 | |
| 14 | 2013 | 23 | |
| 15 | 2022 | 21 | |
| 16 | 2014 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 16 |
About Swathi Arur
Swathi Arur is a scholar working on Molecular Biology, Aging, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems and Plant Science, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Reproductive Biology and Fertility (13 papers), Pluripotent Stem Cells Research (6 papers), Circadian rhythm and melatonin (5 papers), CRISPR and Genetic Engineering (5 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Aging (759 citations), Endocrine and Autonomic Systems (176 citations), Molecular Biology (1.1k citations), Immunology (231 citations) and Cell Biology (162 citations). Swathi Arur has collaborated with scholars based in United States, Switzerland and Puerto Rico. Frequent co-authors include Debabrata Das, Tim Schedl, Victoria Scranton, William A. Mohler, Michael C. Fong, Karim Rezaul, David K. Han, Ann E. Cowan, Sudhir Nayak and Anne M. Villeneuve. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Cell, Genetics, Science Advances and Development.
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.