Swati Roy
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- DNA Repair Mechanisms 2
- RNA Research and Splicing 2
- Oncology 3
- PARP inhibition in cancer therapy 2
- Co-authors
- John M. Pascal (3 shared papers)Marie-France Langelier (3 shared papers)Jamie L. Planck (2 shared papers)Sudeep P. George (4 shared papers)Seema Khurana (4 shared papers)Amin Esmaeilniakooshkghazi (3 shared papers)Srinivas Patnaik (2 shared papers)Yaohong Wang (2 shared papers)
- Journals
- Molecular Biology of the Cell (2 papers)Journal of Clinical Psychopharmacology (1 paper)Gastroenterology (1 paper)Scientific Reports (1 paper)International Biodeterioration & Biodegradation (1 paper)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Swati Roy
11 papers receiving 924 citations
Swati Roy's Hit Papers
Peers
Comparison fields: 5 of 92
- Oncology 673
- Physiology 53
- Molecular Biology 604
- Immunology 168
- Geriatrics and Gerontology 12
Countries citing papers authored by Swati Roy
This map shows the geographic impact of Swati Roy'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 Swati Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Roy more than expected).
Fields of papers citing papers by Swati Roy
This network shows the impact of papers produced by Swati Roy. 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 Swati Roy. The network helps show where Swati Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Swati Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structural Basis for DNA Damage–Dependent Poly(ADP-ribosyl)ation by Human PARP-1 Hit paper breakdown → | 2012 | 547 |
| 2 | 2011 | 208 | |
| 3 | 2017 | 59 | |
| 4 | 2016 | 45 | |
| 5 | 2015 | 20 | |
| 6 | 2016 | 20 | |
| 7 | 2013 | 14 | |
| 8 | 2013 | 8 | |
| 9 | 1996 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 1987 | 2 |
About Swati Roy
Swati Roy is a scholar working on Molecular Biology, Oncology, Cell Biology, Surgery and Computer Networks and Communications, having authored 11 papers that have together received 933 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), RNA Research and Splicing (2 papers), PARP inhibition in cancer therapy (2 papers), Advanced Optical Network Technologies (1 paper), Epilepsy research and treatment (1 paper), Software-Defined Networks and 5G (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Oncology (673 citations), Physiology (53 citations), Molecular Biology (604 citations), Immunology (168 citations) and Geriatrics and Gerontology (12 citations). Swati Roy has collaborated with scholars based in United States, India and Australia. Frequent co-authors include John M. Pascal, Marie-France Langelier, Jamie L. Planck, Sudeep P. George, Seema Khurana, Amin Esmaeilniakooshkghazi, Srinivas Patnaik, Yaohong Wang, Travis Eisemann and Gregory D. Van Duyne. Their work appears in journals such as Molecular Biology of the Cell, Journal of Clinical Psychopharmacology, Gastroenterology, Scientific Reports and International Biodeterioration & Biodegradation.
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.