Dhivya Kumar
Impact in
- Structural Biology top 10%
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Protist diversity and phylogeny 4
- Photosynthetic Processes and Mechanisms 4
- Renal and related cancers 2
- Genetics 6
- Genetic and Kidney Cyst Diseases 6
- Co-authors
- Betty Eipper (7 shared papers)Richard E. Mains (7 shared papers)Jeremy F. Reiter (4 shared papers)Stephen M. King (6 shared papers)Rose E. Goodchild (1 shared paper)Sowmya Parameswaran (1 shared paper)Tanmoy Mukherjee (1 shared paper)Zhihong Xie (1 shared paper)
- Journals
- eLife (2 papers)The Journal of Cell Biology (2 papers)Scientific Reports (1 paper)BMC Cell Biology (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Dhivya Kumar
17 papers receiving 471 citations
Peers
Comparison fields: 5 of 82
- Structural Biology 18
- Biophysics 41
- Cell Biology 114
- Genetics 146
- Molecular Biology 283
Countries citing papers authored by Dhivya Kumar
This map shows the geographic impact of Dhivya 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 Dhivya Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhivya Kumar more than expected).
Fields of papers citing papers by Dhivya Kumar
This network shows the impact of papers produced by Dhivya 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 Dhivya Kumar. The network helps show where Dhivya Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Dhivya 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 68 | |
| 2 | 2020 | 58 | |
| 3 | 2021 | 53 | |
| 4 | 2016 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2011 | 34 | |
| 7 | 2023 | 31 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2019 | 16 | |
| 15 | 2001 | 4 | |
| 16 | 2002 | 1 | |
| 17 | Control of Ciliogenesis by an Evolutionarily Ancient Peptide Amidating Enzyme | 2017 | 1 |
| 18 | Characterization of the Che4 Signal Transduction Pathway in Taxis Behaviors of Azospirillum brasilense | 2012 | 0 |
About Dhivya Kumar
Dhivya Kumar is a scholar working on Molecular Biology, Genetics, Cell Biology, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (6 papers), Protist diversity and phylogeny (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Microtubule and mitosis dynamics (3 papers), Algal biology and biofuel production (2 papers), Force Microscopy Techniques and Applications (2 papers), Surface Roughness and Optical Measurements (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Structural Biology (18 citations), Biophysics (41 citations), Cell Biology (114 citations), Genetics (146 citations) and Molecular Biology (283 citations). Dhivya Kumar has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Betty Eipper, Richard E. Mains, Jeremy F. Reiter, Stephen M. King, Rose E. Goodchild, Sowmya Parameswaran, Tanmoy Mukherjee, Zhihong Xie, Umashankar Vetrivel and Gladys Alexandre. Their work appears in journals such as eLife, The Journal of Cell Biology, Scientific Reports, BMC Cell Biology and Journal of Molecular Endocrinology.
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.