James W. Firman

783 citations
38 papers · 487 indexed · h-index 14
Topics
Computational Drug Discovery Methods (25 papers)Animal testing and alternatives (9 papers)Chemistry and Chemical Engineering (8 papers)

In The Last Decade

James W. Firman

35 papers receiving 473 citations

Peers

James W. Firman
Comparison fields: 5 of 93
  • Computational Theory and Mathematics 216
  • Health, Toxicology and Mutagenesis 131
  • Small Animals 117
  • Molecular Biology 114
  • Environmental Chemistry 71
Replace Claire M. Ellison with:
Claire M. Ellison United Kingdom
Claire L. Mellor United Kingdom
Katarzyna R. Przybylak United Kingdom
Tommy Cathey United States
Patra Volarath United States
Olga Tcheremenskaia Italy
Susanne Glowienke Switzerland
Angela White United Kingdom
Tomasz Magdziarz Poland
Chanita Kuseva Bulgaria
James W. Firman relative to Claire M. Ellison United Kingdom Claire M. Ellison's profile →
Citations per field
00.5×8.6×
Claire M. Ellison · 1×
Citations per year

Countries citing papers authored by James W. Firman

Since Specialization
Citations

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

Fields of papers citing papers by James W. Firman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Firman. 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 James W. Firman. The network helps show where James W. Firman may publish in the future.

Co-authorship network of co-authors of James W. Firman

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Firman. A scholar is included among the top collaborators of James W. Firman 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 James W. Firman. James W. Firman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 10
5 3
6 4
7 2
8 17
9 4
10 21
11 13
12 17
13 26
14 32
15 4
16 16
17 47
18 71
19 1
20 6

About James W. Firman

James W. Firman is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Small Animals, having authored 38 papers that have together received 487 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Animal testing and alternatives (9 papers) and Chemistry and Chemical Engineering (8 papers). The work is most often cited by research in Chemical Health and Safety (16 citations), Small Animals (117 citations) and Computational Theory and Mathematics (216 citations). James W. Firman has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include M Cronin, Judith C. Madden, Steven J. Enoch, Gopal Pawar, Claire L. Mellor, Chihae Yang, Richard Marchese Robinson, Steven D. Webb, Nicoleta Sp̂înu and Mathieu Vinken. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and Food and Chemical Toxicology.

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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