V. Cavett
Impact in
- Geriatrics and Gerontology top 10%
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- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
Papers in ⓘ
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- Chemical Synthesis and Analysis 6
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Genetics 6
- Estrogen and related hormone effects 6
- Co-authors
- Brian M. Paegel (10 shared papers)Patrick J. McEnaney (2 shared papers)J.C. Nwachukwu (7 shared papers)K.W. Nettles (7 shared papers)Sathish Srinivasan (6 shared papers)John A. Katzenellenbogen (6 shared papers)Jason Nowak (4 shared papers)Douglas J. Kojetin (3 shared papers)
- Journals
- ACS Combinatorial Science (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Proteome Research (2 papers)ACS Central Science (2 papers)Nature Chemical Biology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
V. Cavett
23 papers receiving 968 citations
Peers
Comparison fields: 5 of 101
- Geriatrics and Gerontology 44
- Molecular Biology 624
- Toxicology 28
- Genetics 191
- Organic Chemistry 181
Countries citing papers authored by V. Cavett
This map shows the geographic impact of V. Cavett'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 V. Cavett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Cavett more than expected).
Fields of papers citing papers by V. Cavett
This network shows the impact of papers produced by V. Cavett. 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 V. Cavett. The network helps show where V. Cavett may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Cavett, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2014 | 115 | |
| 3 | 2015 | 107 | |
| 4 | 2007 | 83 | |
| 5 | 2009 | 65 | |
| 6 | 2019 | 62 | |
| 7 | 2016 | 55 | |
| 8 | 2013 | 55 | |
| 9 | 2016 | 49 | |
| 10 | 2008 | 45 | |
| 11 | 2022 | 41 | |
| 12 | 2012 | 36 | |
| 13 | 2012 | 33 | |
| 14 | 2016 | 28 | |
| 15 | 2012 | 26 | |
| 16 | 2004 | 22 | |
| 17 | 2009 | 19 | |
| 18 | 2017 | 12 | |
| 19 | 2007 | 6 | |
| 20 | 2016 | 4 |
About V. Cavett
V. Cavett is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Organic Chemistry and Toxicology, having authored 23 papers that have together received 990 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Estrogen and related hormone effects (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), CRISPR and Genetic Engineering (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), RNA and protein synthesis mechanisms (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Molecular Biology (624 citations), Toxicology (28 citations), Genetics (191 citations) and Organic Chemistry (181 citations). V. Cavett has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Brian M. Paegel, Patrick J. McEnaney, J.C. Nwachukwu, K.W. Nettles, Sathish Srinivasan, John A. Katzenellenbogen, Jason Nowak, Douglas J. Kojetin, Tudor Hughes and Patrick R. Griffin. Their work appears in journals such as ACS Combinatorial Science, Proceedings of the National Academy of Sciences, Journal of Proteome Research, ACS Central Science and Nature Chemical 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.