Russell Naven

903 citations
17 papers · 472 indexed · h-index 12
Topics
Computational Drug Discovery Methods (6 papers)Pharmacogenetics and Drug Metabolism (5 papers)Carcinogens and Genotoxicity Assessment (3 papers)

In The Last Decade

Russell Naven

17 papers receiving 453 citations

Peers

Russell Naven
Comparison fields: 5 of 75
  • Computational Theory and Mathematics 211
  • Molecular Biology 185
  • Pharmacology 129
  • Organic Chemistry 105
  • Spectroscopy 61
Replace Teresa Krieger-Burke with:
Teresa Krieger-Burke United States
Giuliano Berellini United States
Christina de Bruyn Kops Germany
Remigijus Didžiapetris Lithuania
Pranas Japertas Lithuania
Jens Kunze Switzerland
Virginie Martiny France
Mohamed Diwan M. AbdulHameed United States
Sai Chetan K. Sukuru Switzerland
Hitomi Yuki Japan
Russell Naven relative to Teresa Krieger-Burke United States Teresa Krieger-Burke's profile →
Citations per field
00.5×1.5×
Teresa Krieger-Burke · 1×
Citations per year

Countries citing papers authored by Russell Naven

Since Specialization
Citations

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

Fields of papers citing papers by Russell Naven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Naven

This figure shows the co-authorship network connecting the top 25 collaborators of Russell Naven. A scholar is included among the top collaborators of Russell Naven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Russell Naven. Russell Naven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 14
3 34
4 1
5 10
6 21
7 13
8 14
9 59
10 29
11 127
12
Early toxicity screening strategies.
25
13 2
14 3
15 74
16 26
17 18

About Russell Naven

Russell Naven is a scholar working on Pharmacology, Computational Theory and Mathematics and Toxicology, having authored 17 papers that have together received 472 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Pharmacology (129 citations), Computational Theory and Mathematics (211 citations) and Toxicology (21 citations). Russell Naven has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Nigel Greene, Lilia Fisk, Reine Note, Tomoya Yukawa, Yvonne Will, Jacquelyn Klug‐McLeod, Rachel Swiss, Shirley Louise‐May, Mark Mascal and Ralf Warmuth. Their work appears in journals such as Nature Reviews Drug Discovery, Tetrahedron Letters and Toxicological Sciences.

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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