Kevin T. Chapman

11.9k citations
82 papers · 6.1k indexed · 3 hit papers · h-index 30

Kevin T. Chapman

82 papers receiving 5.8k citations

Hit Papers

A Combinatorial Approach Defines Specificities of Members...198820262000201319971988198850010001.5k

Peers

Kevin T. Chapman
Comparison fields: 5 of 129
  • Molecular Biology 3.5k
  • Organic Chemistry 2.8k
  • Oncology 703
  • Immunology 535
  • Pharmacology 403
Replace Jeffrey D. Winkler with:
Jeffrey D. Winkler United States
Billy W. Day United States
Jeffrey Aubé United States
Liangren Zhang China
Athanassios Giannis Germany
Jeanne A. Stuckey United States
Mark D. Distefano United States
David M. Perrin Canada
A. Ganesan United Kingdom
John W. Kozarich United States
Kevin T. Chapman relative to Jeffrey D. Winkler United States Jeffrey D. Winkler's profile →
Citations per field
00.5×1.5×2.3×
Jeffrey D. Winkler · 1×
Citations per year

Countries citing papers authored by Kevin T. Chapman

Since Specialization
Citations

This map shows the geographic impact of Kevin T. Chapman'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 Kevin T. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Chapman more than expected).

Fields of papers citing papers by Kevin T. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin T. Chapman. 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 Kevin T. Chapman. The network helps show where Kevin T. Chapman may publish in the future.

Co-authorship network of co-authors of Kevin T. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin T. Chapman. A scholar is included among the top collaborators of Kevin T. Chapman 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 Kevin T. Chapman. Kevin T. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 28
3 27
4 7
5 8
6 44
7 7
8 10
9 28
10 5
11 6
12 52
13 23
14 28
15 50
16 15
17
A Combinatorial Approach Defines Specificities of Members of the Caspase Family and Granzyme Bbreakdown →
1802
18 15
19 52
20
Me 4 NHB(OAc) 3 を用いたβ-ヒドロキシケトンの配向性還元
1

About Kevin T. Chapman

Kevin T. Chapman is a scholar working on Virology, Organic Chemistry and Infectious Diseases, having authored 82 papers that have together received 6.1k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (21 papers), HIV/AIDS drug development and treatment (15 papers) and HIV Research and Treatment (13 papers). The work is most often cited by research in Organic Chemistry (2.8k citations), Molecular Biology (3.5k citations) and Biotechnology (322 citations). Kevin T. Chapman has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include David A. Evans, Erick M. Carreira, Nancy A. Thornberry, John J. Bisaha, Erin P. Peterson, Thomas A. Rano, Donald W. Nicholson, Margarita García‐Calvo, Dita Rasper and Sophie Roy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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