V. Cavett

1.3k citations
23 papers · 990 indexed · h-index 17

Impact in

Papers in

    • Chemical Synthesis and Analysis 6
    • Advanced biosensing and bioanalysis techniques 3
    • CRISPR and Genetic Engineering 3
    • RNA and protein synthesis mechanisms 3
    • Estrogen and related hormone effects 6

V. Cavett

23 papers receiving 968 citations

Peers

V. Cavett
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 44
  • Molecular Biology 624
  • Toxicology 28
  • Genetics 191
  • Organic Chemistry 181
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V. Cavett relative to Jeff Yon United Kingdom Jeff Yon's profile →
Citations per field
00.5×4.9×
Jeff Yon · 1×
Citations per year

Countries citing papers authored by V. Cavett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with V. Cavett Line = papers co-authored together V. Cavett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015121
2 2014115
3 2015107
4 200783
5 200965
6 201962
7 201655
8 201355
9 201649
10 200845
11 202241
12 201236
13 201233
14 201628
15 201226
16 200422
17 200919
18 201712
19 20076
20 20164

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.

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