Daesety Vishnuvardhan
- Co-authors
- Margery C. BeinfeldPenmetcha K. R. KumarSatoshi NishikawaKunitada ShimotohnoNobuko KakiuchiDavid J. GreenblattLisa L. von MoltkePetri Urvil
- Topics
- Neuropeptides and Animal Physiology (8 papers)Glycosylation and Glycoproteins Research (6 papers)Drug Transport and Resistance Mechanisms (4 papers)
- Cited by
- HepatologyVirologyPharmacology
- Journals
- Journal of Biological ChemistryBiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesJapanIndia
In The Last Decade
Daesety Vishnuvardhan
28 papers receiving 641 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 359
- Oncology 139
- Cellular and Molecular Neuroscience 100
- Infectious Diseases 92
- Epidemiology 74
Countries citing papers authored by Daesety Vishnuvardhan
This map shows the geographic impact of Daesety Vishnuvardhan'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 Daesety Vishnuvardhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesety Vishnuvardhan more than expected).
Fields of papers citing papers by Daesety Vishnuvardhan
This network shows the impact of papers produced by Daesety Vishnuvardhan. 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 Daesety Vishnuvardhan. The network helps show where Daesety Vishnuvardhan may publish in the future.
Co-authorship network of co-authors of Daesety Vishnuvardhan
This figure shows the co-authorship network connecting the top 25 collaborators of Daesety Vishnuvardhan. A scholar is included among the top collaborators of Daesety Vishnuvardhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daesety Vishnuvardhan. Daesety Vishnuvardhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 54 | |
| 3 | 15 | |
| 4 | 30 | |
| 5 | 16 | |
| 6 | 2 | |
| 7 | 42 | |
| 8 | 16 | |
| 9 | 21 | |
| 10 | 88 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | 82 | |
| 16 | 23 | |
| 17 | Selection of a RNA aptamer which binds to and inhibits Protein C | 0 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 23 |
About Daesety Vishnuvardhan
Daesety Vishnuvardhan is a scholar working on Cellular and Molecular Neuroscience, Virology and Endocrine and Autonomic Systems, having authored 29 papers that have together received 665 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Glycosylation and Glycoproteins Research (6 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Hepatology (58 citations), Virology (32 citations) and Pharmacology (51 citations). Daesety Vishnuvardhan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Margery C. Beinfeld, Penmetcha K. R. Kumar, Satoshi Nishikawa, Kunitada Shimotohno, Nobuko Kakiuchi, David J. Greenblatt, Lisa L. von Moltke, Petri Urvil, Kazunari Taira and Thomas Toneff. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.
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.