Kevin D. Read

75 papers receiving 3.0k citations

Kevin D. Read's Hit Papers

Anti-trypanosomatid drug discovery: an ongoing challenge and a continuing need 2017 · 309 citations
3090+3+6Years since publication100200300

Peers

Kevin D. Read
Comparison fields: 5 of 118
  • Public Health, Environmental and Occupational Health 960
  • Epidemiology 1.1k
  • Organic Chemistry 780
  • Toxicology 86
  • Parasitology 154
Replace Christian Sergheraert with:
Christian Sergheraert France
Gustavo Benaím Venezuela
Stefania Butini Italy
David W. Gray United Kingdom
Marvin J. Meyers United States
David M. Shackleford Australia
Dante Rotili Italy
Michel Lepoivre France
Eric S. Furfine United States
Yumi Imai United States
Kevin D. Read relative to Christian Sergheraert France Christian Sergheraert's profile →
Citations per field
00.5×4.8×
Christian Sergheraert · 1×
Citations per year

Countries citing papers authored by Kevin D. Read

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Anti-trypanosomatid drug discovery: an ongoing challenge and a continuing need
Hit paper breakdown →
2017309
2 2007230
3 2016181
4 2012125
5 2017123
6 2022108
7 2010102
8 201194
9 200980
10 201178
11 201669
12 201668
13 201661
14 201057
15 201353
16 202052
17 200851
18 201051
19 201849
20 201048

About Kevin D. Read

Kevin D. Read is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Organic Chemistry and Computational Theory and Mathematics, having authored 77 papers that have together received 3.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (33 papers), Research on Leishmaniasis Studies (25 papers), Synthesis and Biological Evaluation (16 papers), Computational Drug Discovery Methods (9 papers), Ubiquitin and proteasome pathways (6 papers), Biochemical and Molecular Research (6 papers), Drug Transport and Resistance Mechanisms (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (960 citations), Epidemiology (1.1k citations), Organic Chemistry (780 citations), Toxicology (86 citations) and Parasitology (154 citations). Kevin D. Read has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Alan H. Fairlamb, Ian H. Gilbert, Susan Wyllie, Paul G. Wyatt, Suzanne Norval, Manu De Rycker, David Horn, Laste Stojanovski, Stephen Patterson and Leah S. Torrie. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Nature Reviews Microbiology, Journal of Pharmacology and Experimental Therapeutics and PLoS Pathogens.

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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