Tyler Peryea
Impact in
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- Computational Drug Discovery Methods
- Biophysics top 10%
Papers in
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- Computational Drug Discovery Methods 8
-
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Anton Simeonov (5 shared papers)Nathan P. Coussens (3 shared papers)Matthew D. Hall (3 shared papers)John Braisted (2 shared papers)Adam Yasgar (3 shared papers)Ajit Jadhav (3 shared papers)Noel Southall (3 shared papers)Ðắc-Trung Nguyễn (4 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Journal of Chemical Information and Modeling (2 papers)ACS Pharmacology & Translational Science (2 papers)Scientific Reports (1 paper)Methods and Applications in Fluorescence (1 paper)
- Partner nations
- United StatesNetherlandsThailand
In The Last Decade
Tyler Peryea
12 papers receiving 418 citations
Peers
Comparison fields: 5 of 95
- Computational Theory and Mathematics 108
- Biophysics 28
- Molecular Biology 218
- Pharmacology 21
- Health, Toxicology and Mutagenesis 28
Countries citing papers authored by Tyler Peryea
This map shows the geographic impact of Tyler Peryea'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 Tyler Peryea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Peryea more than expected).
Fields of papers citing papers by Tyler Peryea
This network shows the impact of papers produced by Tyler Peryea. 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 Tyler Peryea. The network helps show where Tyler Peryea may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Peryea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2017 | 56 | |
| 3 | 2019 | 47 | |
| 4 | 2024 | 39 | |
| 5 | 2021 | 36 | |
| 6 | 2016 | 29 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 |
About Tyler Peryea
Tyler Peryea is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Pollution and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 428 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Click Chemistry and Applications (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Advanced Text Analysis Techniques (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Biophysics (28 citations), Molecular Biology (218 citations), Pharmacology (21 citations) and Health, Toxicology and Mutagenesis (28 citations). Tyler Peryea has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include Anton Simeonov, Nathan P. Coussens, Matthew D. Hall, John Braisted, Adam Yasgar, Ajit Jadhav, Noel Southall, Ðắc-Trung Nguyễn, G. Sitta Sittampalam and Timothy Sheils. Their work appears in journals such as Nucleic Acids Research, Journal of Chemical Information and Modeling, ACS Pharmacology & Translational Science, Scientific Reports and Methods and Applications in Fluorescence.
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.