Sonia Podvin
Impact in
- Nephrology top 1%
- Parathyroid Disorders and Treatments
- Genetics top 5%
- Genetic Syndromes and Imprinting
- Genetic and Kidney Cyst Diseases
Papers in
-
- Neuropeptides and Animal Physiology 6
- Co-authors
- Carmela R. AbrahamCi-Di ChenSusan E. LeemanE GillespieVivian HookCharles MosierAnthony J. O’DonoghueMichael C. Yoon
- Journals
- ACS Chemical Neuroscience (5 papers)Journal of the American Society for Mass Spectrometry (2 papers)ACS Chemical Biology (2 papers)Journal of Huntington s Disease (2 papers)ACS Pharmacology & Translational Science (2 papers)
- Partner nations
- United StatesUnited KingdomJordan
In The Last Decade
Sonia Podvin
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Nephrology 453
- Genetics 370
- Cellular and Molecular Neuroscience 171
- Molecular Biology 562
- Aging 14
Countries citing papers authored by Sonia Podvin
This map shows the geographic impact of Sonia Podvin'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 Sonia Podvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Podvin more than expected).
Fields of papers citing papers by Sonia Podvin
This network shows the impact of papers produced by Sonia Podvin. 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 Sonia Podvin. The network helps show where Sonia Podvin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Podvin, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 113 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 8 | |
| 12 | 2015 | 20 | |
| 13 | 2014 | 28 | |
| 14 | 2014 | 20 | |
| 15 | 2012 | 32 | |
| 16 | 2011 | 55 | |
| 17 | 2011 | 40 | |
| 18 | 2010 | 7 | |
| 19 | 2007 | 463 | |
| 20 | 2007 | 108 |
About Sonia Podvin
Sonia Podvin is a scholar working on Cellular and Molecular Neuroscience, Microbiology, Biological Psychiatry, Physiology and Cell Biology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Cancer-related gene regulation (7 papers), Mitochondrial Function and Pathology (6 papers), Neuropeptides and Animal Physiology (6 papers), Epigenetics and DNA Methylation (5 papers), Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers) and S100 Proteins and Annexins (5 papers). The work is most often cited by research in Nephrology (453 citations), Genetics (370 citations), Cellular and Molecular Neuroscience (171 citations), Molecular Biology (562 citations) and Aging (14 citations). Sonia Podvin has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Carmela R. Abraham, Ci-Di Chen, Susan E. Leeman, E Gillespie, Vivian Hook, Charles Mosier, Anthony J. O’Donoghue, Michael C. Yoon, Andrew Baird and Brian P. Eliceiri. Their work appears in journals such as ACS Chemical Neuroscience, Journal of the American Society for Mass Spectrometry, ACS Chemical Biology, Journal of Huntington s Disease and ACS Pharmacology & Translational Science.
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.