Stephen Hindley

598 citations
5 papers · 364 · h-index 5

Impact in

Papers in

Stephen Hindley

5 papers receiving 355 citations

Peers

Stephen Hindley
Comparison fields: 5 of 53
  • Public Health, Environmental and Occupational Health 202
  • Computational Theory and Mathematics 112
  • Organic Chemistry 185
  • Pharmacology 29
  • Toxicology 10
Replace B. Kevin Park with:
B. Kevin Park United Kingdom
Gautam Patel United States
Sophie Girault France
Corinna Grisostomi Switzerland
Chitalu C. Musonda South Africa
Amit Bhattacharya India
Kuldeep Chauhan India
Man‐Ki Cheung Hong Kong
Suryanarayana Vangapandu India
Giampiero Colombano Italy
Stephen Hindley relative to B. Kevin Park United Kingdom B. Kevin Park's profile →
Citations per field
00.5×1.5×1.8×
B. Kevin Park · 1×
Citations per year

Countries citing papers authored by Stephen Hindley

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hindley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Hindley. 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 Stephen Hindley. The network helps show where Stephen Hindley may publish in the future.

Co-authors

The 22 scholars most cited alongside Stephen Hindley, 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 Stephen Hindley Line = papers co-authored together Stephen Hindley links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2003111
2 2002102
3 200066
4 200365
5 198520

About Stephen Hindley

Stephen Hindley is a scholar working on Public Health, Environmental and Occupational Health, Organic Chemistry, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 5 papers that have together received 364 indexed citations. Recurring topics across this work include Malaria Research and Control (3 papers), Computational Drug Discovery Methods (2 papers), Trypanosoma species research and implications (1 paper), Oxidative Organic Chemistry Reactions (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper), Medicinal Plants and Neuroprotection (1 paper), Research on Leishmaniasis Studies (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (202 citations), Computational Theory and Mathematics (112 citations), Organic Chemistry (185 citations), Pharmacology (29 citations) and Toxicology (10 citations). Stephen Hindley has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Paul M. O’Neill, Stephen A. Ward, Patrick G. Bray, R. C. STORR, B. Kevin Park, Jill Davies, Paul A. Stocks, James L. Maggs, J.F. Bickley and Laura E. Randle. Their work appears in journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology and Tetrahedron Letters.

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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