Keyur A. Dave
Impact in
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- Cancer, Hypoxia, and Metabolism
Papers in
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- DNA Repair Mechanisms 2
- Insect Resistance and Genetics 2
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- Mass Spectrometry Techniques and Applications 4
- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Jeffrey J. Gorman (12 shared papers)Madeleine J. Headlam (5 shared papers)Emma L. Norris (5 shared papers)Tristan P. Wallis (2 shared papers)Alexander Bukreyev (3 shared papers)Peter L. Collins (3 shared papers)Marcus L. Hastie (3 shared papers)Ursula J. Buchholz (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (4 papers)Journal of Virology (2 papers)International Journal of Mass Spectrometry (1 paper)Journal of Dispersion Science and Technology (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Keyur A. Dave
24 papers receiving 441 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 61
- Molecular Medicine 17
- Infectious Diseases 48
- Virology 11
- Molecular Biology 165
Countries citing papers authored by Keyur A. Dave
This map shows the geographic impact of Keyur A. Dave'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 Keyur A. Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keyur A. Dave more than expected).
Fields of papers citing papers by Keyur A. Dave
This network shows the impact of papers produced by Keyur A. Dave. 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 Keyur A. Dave. The network helps show where Keyur A. Dave may publish in the future.
Co-authors
The 25 scholars most cited alongside Keyur A. Dave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 50 | |
| 2 | 2013 | 48 | |
| 3 | 2013 | 41 | |
| 4 | 2014 | 35 | |
| 5 | 2014 | 31 | |
| 6 | 2011 | 29 | |
| 7 | 2015 | 29 | |
| 8 | 2013 | 28 | |
| 9 | 2005 | 24 | |
| 10 | 2023 | 23 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2008 | 11 | |
| 16 | 2007 | 10 | |
| 17 | 2021 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2016 | 3 |
About Keyur A. Dave
Keyur A. Dave is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Epidemiology and Infectious Diseases, having authored 24 papers that have together received 446 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (4 papers), Respiratory viral infections research (3 papers), DNA Repair Mechanisms (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Insect Resistance and Genetics (2 papers), Viral Infections and Vectors (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Cancer Research (61 citations), Molecular Medicine (17 citations), Infectious Diseases (48 citations), Virology (11 citations) and Molecular Biology (165 citations). Keyur A. Dave has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jeffrey J. Gorman, Madeleine J. Headlam, Emma L. Norris, Tristan P. Wallis, Alexander Bukreyev, Peter L. Collins, Marcus L. Hastie, Ursula J. Buchholz, Brian H. Kay and Maggy T. Sikulu-Lord. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Virology, International Journal of Mass Spectrometry, Journal of Dispersion Science and Technology and PLoS ONE.
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.