James E. Mills

34 papers receiving 1.0k citations

Peers

James E. Mills
Comparison fields: 5 of 116
  • Computational Theory and Mathematics 297
  • Organic Chemistry 230
  • Molecular Biology 526
  • Biophysics 37
  • Public Health, Environmental and Occupational Health 121
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Mattia Sturlese Italy
Jitender Verma India
James L. Kofron United States
Benjamin D. Madej United States
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Gianluca Degliesposti United Kingdom
Miriam Sgobba Italy
Outi M. H. Salo‐Ahen Finland
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Citations per year

Countries citing papers authored by James E. Mills

Since Specialization
Citations

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

Fields of papers citing papers by James E. Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James E. Mills, 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 James E. Mills Line = papers co-authored together James E. Mills links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996208
2 2013104
3 201075
4 201272
5 200964
6 201552
7 200942
8 201839
9 201139
10 199538
11 200135
12 201333
13 201127
14 200924
15 200123
16 202220
17 200819
18 201115
19 201214
20 202014

About James E. Mills

James E. Mills is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Public Health, Environmental and Occupational Health and Materials Chemistry, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (4 papers), Chemical Synthesis and Analysis (4 papers), Trypanosoma species research and implications (3 papers), Protein Structure and Dynamics (3 papers), Malaria Research and Control (3 papers), Machine Learning in Materials Science (3 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (297 citations), Organic Chemistry (230 citations), Molecular Biology (526 citations), Biophysics (37 citations) and Public Health, Environmental and Occupational Health (121 citations). James E. Mills has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include P. M. Dean, Timothy D. Perkins, Lyn H. Jones, Nigel A. Swain, Bruce A. Posner, Hualin Simon Xi, Gavin A. Whitlock, Karl R. Gibson, Margarita Osadchy and Gareth Williams. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, MedChemComm and PLoS neglected tropical diseases.

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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