Vedangi Sample
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
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- Receptor Mechanisms and Signaling
- Phosphodiesterase function and regulation
- Metabolism, Diabetes, and Cancer
- bioluminescence and chemiluminescence research
- Advanced biosensing and bioanalysis techniques
Papers in
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- Phosphodiesterase function and regulation 2
- Metabolism, Diabetes, and Cancer 2
- 14-3-3 protein interactions 1
- Fungal and yeast genetics research 1
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- Photoreceptor and optogenetics research 2
- Co-authors
- Jin Zhang (8 shared papers)Robert H. Newman (1 shared paper)Qiang Ni (1 shared paper)Jeffrey J. Saucerman (1 shared paper)Jason H. Yang (1 shared paper)Lisa M. DiPilato (1 shared paper)Kirill Gorshkov (2 shared papers)Sohum Mehta (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Journal of Cell Science (1 paper)Cell Reports (1 paper)Nature Chemical Biology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesPortugalJapan
In The Last Decade
Vedangi Sample
8 papers receiving 410 citations
Peers
Comparison fields: 5 of 72
- Biophysics 94
- Molecular Biology 323
- Cellular and Molecular Neuroscience 80
- Endocrine and Autonomic Systems 19
- Aging 4
Countries citing papers authored by Vedangi Sample
This map shows the geographic impact of Vedangi Sample'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 Vedangi Sample with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedangi Sample more than expected).
Fields of papers citing papers by Vedangi Sample
This network shows the impact of papers produced by Vedangi Sample. 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 Vedangi Sample. The network helps show where Vedangi Sample may publish in the future.
Co-authors
The 25 scholars most cited alongside Vedangi Sample, 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 | 2009 | 110 | |
| 2 | 2012 | 108 | |
| 3 | 2015 | 87 | |
| 4 | 2014 | 36 | |
| 5 | 2015 | 27 | |
| 6 | 2008 | 22 | |
| 7 | 2013 | 15 | |
| 8 | 2012 | 9 |
About Vedangi Sample
Vedangi Sample is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Biophysics and Pharmacology, having authored 8 papers that have together received 414 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (2 papers), Photoreceptor and optogenetics research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Pancreatic function and diabetes (2 papers), High Altitude and Hypoxia (1 paper), 14-3-3 protein interactions (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Biophysics (94 citations), Molecular Biology (323 citations), Cellular and Molecular Neuroscience (80 citations), Endocrine and Autonomic Systems (19 citations) and Aging (4 citations). Vedangi Sample has collaborated with scholars based in United States, Portugal and Japan. Frequent co-authors include Jin Zhang, Robert H. Newman, Qiang Ni, Jeffrey J. Saucerman, Jason H. Yang, Lisa M. DiPilato, Kirill Gorshkov, Sohum Mehta, Melinda Chen and Takanari Inoue. Their work appears in journals such as Molecular Biology of the Cell, Journal of Cell Science, Cell Reports, Nature Chemical Biology and Advances in experimental medicine and biology.
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.