Daesety Vishnuvardhan
- Hepatology top 10%
- Pharmacology top 10%
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- Neuropeptides and Animal Physiology 8
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- Glycosylation and Glycoproteins Research 6
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
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- Drug Transport and Resistance Mechanisms 4
- Peptidase Inhibition and Analysis 3
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- HIV/AIDS drug development and treatment 3
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- interferon and immune responses 2
- Co-authors
- Margery C. BeinfeldPenmetcha K. R. KumarSatoshi NishikawaKunitada ShimotohnoNobuko KakiuchiDavid J. GreenblattLisa L. von MoltkePetri Urvil
- Cited by
- HepatologyVirologyPharmacology
- Journals
- Journal of Biological Chemistry (1 paper)Biochemistry (3 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Daesety Vishnuvardhan
28 papers receiving 641 citations
Peers
Comparison fields: 5 of 82
- Hepatology 58
- Virology 32
- Pharmacology 51
- Cellular and Molecular Neuroscience 100
- Molecular Biology 359
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
The 25 scholars most cited alongside Daesety Vishnuvardhan, 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 | 2005 | 1 | |
| 2 | 2005 | 54 | |
| 3 | 2005 | 15 | |
| 4 | 2004 | 30 | |
| 5 | 2004 | 16 | |
| 6 | 2003 | 2 | |
| 7 | 2003 | 42 | |
| 8 | 2002 | 16 | |
| 9 | 2001 | 21 | |
| 10 | 2000 | 88 | |
| 11 | 2000 | 3 | |
| 12 | 2000 | 25 | |
| 13 | 2000 | 1 | |
| 14 | 1998 | 45 | |
| 15 | 1997 | 82 | |
| 16 | 1997 | 23 | |
| 17 | Selection of a RNA aptamer which binds to and inhibits Protein C | 1996 | 0 |
| 18 | 1995 | 2 | |
| 19 | 1995 | 2 | |
| 20 | 1993 | 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), Drug Transport and Resistance Mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Peptidase Inhibition and Analysis (3 papers), HIV/AIDS drug development and treatment (3 papers) and interferon and immune responses (2 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.