Gomathi Jayaraman
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
-
- Cellular Mechanics and Interactions
Papers in
-
- Ubiquitin and proteasome pathways 2
- Receptor Mechanisms and Signaling 2
- Gene Regulatory Network Analysis 2
- Oncology 5
- Peptidase Inhibition and Analysis 2
- Co-authors
- Ravi Iyengar (11 shared papers)John Cijiang He (4 shared papers)Evren U. Azeloglu (7 shared papers)Yibang Chen (7 shared papers)Hong Li (5 shared papers)Dennis P. Healy (3 shared papers)Rhodora C. Calizo (3 shared papers)Smiti Bhattacharya (3 shared papers)
- Journals
- Nature Communications (3 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (2 papers)Frontiers in Pharmacology (1 paper)Molecular Oncology (1 paper)Science Signaling (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Gomathi Jayaraman
16 papers receiving 330 citations
Peers
Comparison fields: 5 of 72
- Nephrology 52
- Cell Biology 57
- Biophysics 20
- Molecular Biology 131
- Genetics 17
Countries citing papers authored by Gomathi Jayaraman
This map shows the geographic impact of Gomathi Jayaraman'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 Gomathi Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gomathi Jayaraman more than expected).
Fields of papers citing papers by Gomathi Jayaraman
This network shows the impact of papers produced by Gomathi Jayaraman. 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 Gomathi Jayaraman. The network helps show where Gomathi Jayaraman may publish in the future.
Co-authors
The 25 scholars most cited alongside Gomathi Jayaraman, 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 | 2019 | 52 | |
| 2 | 2017 | 48 | |
| 3 | 2014 | 48 | |
| 4 | 2017 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2009 | 27 | |
| 7 | 2019 | 24 | |
| 8 | 2012 | 19 | |
| 9 | 1996 | 17 | |
| 10 | 2000 | 16 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2000 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | Figure S4 (Related to Figure 4) | 2012 | 2 |
| 17 | 2026 | 0 |
About Gomathi Jayaraman
Gomathi Jayaraman is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 332 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Cellular Mechanics and Interactions (2 papers), Peptidase Inhibition and Analysis (2 papers), Gene Regulatory Network Analysis (2 papers), 3D Printing in Biomedical Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Nephrology (52 citations), Cell Biology (57 citations), Biophysics (20 citations), Molecular Biology (131 citations) and Genetics (17 citations). Gomathi Jayaraman has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Ravi Iyengar, John Cijiang He, Evren U. Azeloglu, Yibang Chen, Hong Li, Dennis P. Healy, Rhodora C. Calizo, Smiti Bhattacharya, Lijun Song and Azi Lipshtat. Their work appears in journals such as Nature Communications, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Frontiers in Pharmacology, Molecular Oncology and Science Signaling.
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.