C.L.K. Stevens

25 papers receiving 407 citations

Peers

C.L.K. Stevens
Comparison fields: 5 of 90
  • Pharmacology 149
  • Computational Theory and Mathematics 106
  • Toxicology 19
  • Oncology 86
  • Biological Psychiatry 7
Replace Eiji Kashiyama with:
Eiji Kashiyama Japan
Nicola E. Wilsher United Kingdom
Rebecca B. White United States
A.I. Archakov Russia
Iain Martin United Kingdom
Simone Braggio Italy
Christine M. Dieckhaus United States
Elizabeth A. Dierks United States
Xiaoliang Zhuo United States
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C.L.K. Stevens relative to Eiji Kashiyama Japan Eiji Kashiyama's profile →
Citations per field
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Citations per year

Countries citing papers authored by C.L.K. Stevens

Since Specialization
Citations

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

Fields of papers citing papers by C.L.K. Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.L.K. Stevens. 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 C.L.K. Stevens. The network helps show where C.L.K. Stevens may publish in the future.

Co-authors

The 25 scholars most cited alongside C.L.K. Stevens, 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 C.L.K. Stevens Line = papers co-authored together C.L.K. Stevens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201476
2 201145
3 201044
4 201139
5 201239
6 201128
7 201225
8 201024
9 201318
10 201113
11 20138
12 20078
13 20158
14 20097
15 20057
16 20066
17 20086
18 20045
19 20123
20 20202

About C.L.K. Stevens

C.L.K. Stevens is a scholar working on Pharmacology, Molecular Biology, Oncology, Computational Theory and Mathematics and General Agricultural and Biological Sciences, having authored 25 papers that have together received 416 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), HER2/EGFR in Cancer Research (5 papers), Analytical Chemistry and Chromatography (3 papers), Diverse Educational Innovations Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Synthesis and biological activity (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Pharmacology (149 citations), Computational Theory and Mathematics (106 citations), Toxicology (19 citations), Oncology (86 citations) and Biological Psychiatry (7 citations). C.L.K. Stevens has collaborated with scholars based in United States and China. Frequent co-authors include Jayalakshmi Sridhar, Maryam Foroozesh, Jiawang Liu, Richard L. Schroeder, Vivian Haley‐Zitlin, Naijue Zhu, Linnea R. Freeman, Ann‐Charlotte Granholm, Ping Jin and Edwin D. Stevens. Their work appears in journals such as Chemical Research in Toxicology, Molecules, SAR and QSAR in environmental research, Bioorganic & Medicinal Chemistry Letters and Acta Crystallographica Section C Crystal Structure Communications.

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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