Scott Boyer

67 papers receiving 2.2k citations

Peers

Scott Boyer
Comparison fields: 5 of 155
  • Computational Theory and Mathematics 1.1k
  • Pharmacology 333
  • Toxicology 57
  • Molecular Biology 1.0k
  • Spectroscopy 237
Replace Manuel Pastor with:
Manuel Pastor Spain
Hong Fang United States
William S. Branham United States
Leming Shi United States
Hongmao Sun United States
Lothar Terfloth Germany
Jacques Hamon Switzerland
Antonius ter Laak Germany
Miguel Ángel Cabrera‐Pérez Cuba
Massimo Baroni Italy
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Citations per year

Countries citing papers authored by Scott Boyer

Since Specialization
Citations

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

Fields of papers citing papers by Scott Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2
Circular fingerprints: flexible molecular descriptors with applications from physical chemistry to ADME.
2006129
3 201388
4 200985
5 201482
6 200780
7 200579
8 200777
9 201666
10 201062
11 200661
12 200255
13 200354
14 201353
15 200752
16 200948
17 200246
18 201744
19 199043
20 200342

About Scott Boyer

Scott Boyer is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Materials Chemistry and Spectroscopy, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Analytical Chemistry and Chromatography (9 papers), Machine Learning in Materials Science (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Biomedical Text Mining and Ontologies (5 papers), Chemistry and Chemical Engineering (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Pharmacology (333 citations), Toxicology (57 citations), Molecular Biology (1.0k citations) and Spectroscopy (237 citations). Scott Boyer has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Lars Carlsson, Ulf Norinder, Martin Eklund, Catrin Hasselgren Arnby, John E. Mullet, Brian A. Larkins, James M. Smith, Robert C. Glen, Brian Houston and Ann‐Charlotte Egnell. Their work appears in journals such as Journal of Chemical Information and Modeling, The Plant Cell, Journal of Computer-Aided Molecular Design, Pharmacoepidemiology and Drug Safety and Regulatory Toxicology and Pharmacology.

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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