Pavitra Kumar
Impact in
Papers in
-
- Congenital heart defects research 6
- Mitochondrial Function and Pathology 4
- Protein Degradation and Inhibitors 3
- Bacterial biofilms and quorum sensing 2
- Surgery 6
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Suvro Chatterjee (12 shared papers)Jean‐François Dufour (4 shared papers)Ian A. Glass (2 shared papers)V.J. Hyland (2 shared papers)Lakshmikirupa Sundaresan (7 shared papers)Tony Roscioli (2 shared papers)Chaonan Jin (2 shared papers)J. Masel (2 shared papers)
- Journals
- Journal of Hepatology (5 papers)Chemical Research in Toxicology (2 papers)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)In Vitro Cellular & Developmental Biology - Animal (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- IndiaSwitzerlandGermany
In The Last Decade
Pavitra Kumar
31 papers receiving 329 citations
Peers
Comparison fields: 5 of 78
- Aging 7
- Hepatology 24
- Genetics 71
- Molecular Biology 163
- Physiology 58
Countries citing papers authored by Pavitra Kumar
This map shows the geographic impact of Pavitra Kumar'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 Pavitra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavitra Kumar more than expected).
Fields of papers citing papers by Pavitra Kumar
This network shows the impact of papers produced by Pavitra Kumar. 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 Pavitra Kumar. The network helps show where Pavitra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pavitra Kumar, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 47 | |
| 2 | 2020 | 39 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 19 | |
| 6 | 2001 | 19 | |
| 7 | 2024 | 15 | |
| 8 | 2019 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 6 |
About Pavitra Kumar
Pavitra Kumar is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Cell Biology, having authored 31 papers that have together received 333 indexed citations. Recurring topics across this work include Congenital heart defects research (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Multiple Myeloma Research and Treatments (4 papers), Mitochondrial Function and Pathology (4 papers), Protein Degradation and Inhibitors (3 papers), Bacterial biofilms and quorum sensing (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Aging (7 citations), Hepatology (24 citations), Genetics (71 citations), Molecular Biology (163 citations) and Physiology (58 citations). Pavitra Kumar has collaborated with scholars based in India, Switzerland and Germany. Frequent co-authors include Suvro Chatterjee, Jean‐François Dufour, Ian A. Glass, V.J. Hyland, Lakshmikirupa Sundaresan, Tony Roscioli, Chaonan Jin, J. Masel, Jordi Gracia‐Sancho and Michael Gattas. Their work appears in journals such as Journal of Hepatology, Chemical Research in Toxicology, Naunyn-Schmiedeberg s Archives of Pharmacology, In Vitro Cellular & Developmental Biology - Animal and Journal of Cellular Physiology.
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.