Timothy E. Benson

27 papers receiving 1.5k citations

Peers

Timothy E. Benson
Comparison fields: 5 of 99
  • Pharmacology 222
  • Molecular Medicine 68
  • Computational Theory and Mathematics 245
  • Virology 56
  • Molecular Biology 790
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Marco Persico Italy
Warren J. Rocque United States
Mattia Mori Italy
Renate Griffith Australia
Gianluca Degliesposti United Kingdom
Paul D. Kirchhoff United States
Simon A. Osborne United Kingdom
Justin S. Bryans United Kingdom
James C. Burnett United States
Bryan T. Mott United States
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Citations per year

Countries citing papers authored by Timothy E. Benson

Since Specialization
Citations

This map shows the geographic impact of Timothy E. Benson'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 Timothy E. Benson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy E. Benson more than expected).

Fields of papers citing papers by Timothy E. Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. Benson. 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 Timothy E. Benson. The network helps show where Timothy E. Benson may publish in the future.

Co-authors

The 25 scholars most cited alongside Timothy E. Benson, 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 Timothy E. Benson Line = papers co-authored together Timothy E. Benson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010180
2 1998164
3 2016152
4 199395
5 201093
6 200789
7 199479
8 199674
9 199574
10 200274
11 200766
12 201661
13 200154
14 199749
15 199647
16 199745
17 200632
18 200631
19 200731
20 202021

About Timothy E. Benson

Timothy E. Benson is a scholar working on Molecular Biology, Materials Chemistry, Public Health, Environmental and Occupational Health, Insect Science and Organic Chemistry, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (5 papers), Mosquito-borne diseases and control (4 papers), Biochemical and Molecular Research (4 papers), Malaria Research and Control (3 papers), Insect symbiosis and bacterial influences (3 papers), Alzheimer's disease research and treatments (2 papers) and Porphyrin Metabolism and Disorders (2 papers). The work is most often cited by research in Pharmacology (222 citations), Molecular Medicine (68 citations), Computational Theory and Mathematics (245 citations), Virology (56 citations) and Molecular Biology (790 citations). Timothy E. Benson has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Christopher T. Walsh, James M. Hogle, Monicia Elrod-Erickson, Carl O. Pabo, Christopher T. Walsh, Alfredo G. Tomasselli, Thomas L. Emmons, D. Bryan Prince, David J. Filman and Felicia A. Etzkorn. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Structure, Journal of Molecular Biology 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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