Kevin D. Read

76 papers receiving 2.9k citations

Kevin D. Read's Hit Papers

Anti-trypanosomatid drug discovery: an ongoing challenge and a continuing need 2017 · 306 citations
3060+3+6Years since publication100200300

Peers

Kevin D. Read
Comparison fields: 5 of 118
  • Public Health, Environmental and Occupational Health 1.0k
  • Epidemiology 1.1k
  • Organic Chemistry 816
  • Parasitology 166
  • Toxicology 85
Replace Christian Sergheraert with:
Christian Sergheraert France
Gustavo Benaím Venezuela
Sandra Gemma Italy
Jianbin Zhang China
Stefania Butini Italy
David W. Gray United Kingdom
Marvin J. Meyers United States
David M. Shackleford Australia
Lucı́a Piacenza Uruguay
Sandra Duffy Australia
Kevin D. Read relative to Christian Sergheraert France Christian Sergheraert's profile →
Citations per field
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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 78 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 →
2017306
2 2007225
3 2016178
4 2017123
5 2012123
6 2010101
7 202299
8 201193
9 200980
10 201177
11 201669
12 201667
13 201661
14 201056
15 201353
16 200851
17 201051
18 202050
19 201048
20 201047

About Kevin D. Read

Kevin D. Read is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Organic Chemistry and Oncology, having authored 78 papers that have together received 3.0k 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), Drug Transport and Resistance Mechanisms (8 papers), Biochemical and Molecular Research (6 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.0k citations), Epidemiology (1.1k citations), Organic Chemistry (816 citations), Parasitology (166 citations) and Toxicology (85 citations). Kevin D. Read has collaborated with scholars based in United Kingdom, Switzerland and United States. 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, Nature Communications and Drug Metabolism and Disposition.

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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