Matthew T. Martin
- Health, Toxicology and Mutagenesis top 0.1%
- Effects and risks of endocrine disrupting chemicals 34
- Toxic Organic Pollutants Impact 6
- Environmental Toxicology and Ecotoxicology 5
- Chemical Health and Safety top 0.2%
- Small Animals top 0.1%
- Animal testing and alternatives 22
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods 27
- Pollution top 1%
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- Carcinogens and Genotoxicity Assessment 12
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- Pharmacogenetics and Drug Metabolism 8
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- Estrogen and related hormone effects 5
- Co-authors
- David J. DixRichard JudsonKeith A. HouckRobert J. KavlockAnn M. RichardThomas B. KnudsenDavid M. ReifR. Woodrow Setzer
- Journals
- Environmental Science & Technology (2 papers)Nature Biotechnology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Matthew T. Martin
67 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Health, Toxicology and Mutagenesis 3.3k
- Chemical Health and Safety 126
- Small Animals 1.4k
- Computational Theory and Mathematics 2.2k
- Pollution 797
Countries citing papers authored by Matthew T. Martin
This map shows the geographic impact of Matthew T. Martin'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 Matthew T. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Martin more than expected).
Fields of papers citing papers by Matthew T. Martin
This network shows the impact of papers produced by Matthew T. Martin. 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 Matthew T. Martin. The network helps show where Matthew T. Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew T. Martin, 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 | 2025 | 5 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 62 | |
| 4 | 2019 | 91 | |
| 5 | 2019 | 9 | |
| 6 | 2019 | 26 | |
| 7 | 2018 | 8 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 90 | |
| 10 | 2017 | 58 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 12 | |
| 13 | 2015 | 43 | |
| 14 | 2015 | 58 | |
| 15 | 2013 | 39 | |
| 16 | 2011 | 152 | |
| 17 | 2010 | 301 | |
| 18 | 2009 | 95 | |
| 19 | 2007 | 197 | |
| 20 | A Systematic Approach to Estimating the Age of a Horse | 1999 | 8 |
About Matthew T. Martin
Matthew T. Martin is a scholar working on Small Animals, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 67 papers that have together received 6.7k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (34 papers), Computational Drug Discovery Methods (27 papers), Animal testing and alternatives (22 papers), Carcinogens and Genotoxicity Assessment (12 papers), Pharmacogenetics and Drug Metabolism (8 papers), Toxic Organic Pollutants Impact (6 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.3k citations), Chemical Health and Safety (126 citations) and Small Animals (1.4k citations). Matthew T. Martin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David J. Dix, Richard Judson, Keith A. Houck, Robert J. Kavlock, Ann M. Richard, Thomas B. Knudsen, David M. Reif, R. Woodrow Setzer, Daniel M. Rotroff and Russell S. Thomas. Their work appears in journals such as Environmental Science & Technology, Nature Biotechnology and Bioinformatics.
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.