Matthew Tudor
- Genetics top 1%
- Molecular Biology top 2%
- Plant Reproductive Biology 4
- Metabolomics and Mass Spectrometry Studies 3
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- Cognitive Neuroscience top 5%
- Developmental Neuroscience top 5%
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- Computational Drug Discovery Methods 9
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- Machine Learning in Materials Science 5
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- Plant Molecular Biology Research 4
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- Invertebrate Immune Response Mechanisms 3
- Co-authors
- Rudolf JaenischRichard Z. ChenSchahram AkbarianHong MāYi HuSara CherryEric S. LanderChristopher Wilson
- Journals
- Journal of Chemical Information and Modeling (5 papers)The Plant Cell (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesSwitzerlandCzechia
In The Last Decade
Matthew Tudor
34 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 1.5k
- Molecular Biology 2.5k
- Cognitive Neuroscience 638
- Developmental Neuroscience 119
- Computational Theory and Mathematics 268
Countries citing papers authored by Matthew Tudor
This map shows the geographic impact of Matthew Tudor'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 Tudor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tudor more than expected).
Fields of papers citing papers by Matthew Tudor
This network shows the impact of papers produced by Matthew Tudor. 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 Tudor. The network helps show where Matthew Tudor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Tudor, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 43 | |
| 6 | 2018 | 188 | |
| 7 | 2018 | 3 | |
| 8 | Chapter Five - High-Throughput Screening | 2017 | 3 |
| 9 | 2017 | 10 | |
| 10 | 2013 | 96 | |
| 11 | 2012 | 53 | |
| 12 | 2012 | 12 | |
| 13 | 2011 | 58 | |
| 14 | 2011 | 18 | |
| 15 | 2001 | 6 | |
| 16 | Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulationbreakdown → | 2001 | 559 |
| 17 | 1999 | 30 | |
| 18 | 1999 | 163 | |
| 19 | 1997 | 172 | |
| 20 | 1995 | 109 |
About Matthew Tudor
Matthew Tudor is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 35 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers), Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Genetics (1.5k citations), Molecular Biology (2.5k citations) and Cognitive Neuroscience (638 citations). Matthew Tudor has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Rudolf Jaenisch, Richard Z. Chen, Schahram Akbarian, Hong Mā, Yi Hu, Sara Cherry, Eric S. Lander, Christopher Wilson, Peggy Lee and Györgyi Csankovszki. Their work appears in journals such as Journal of Chemical Information and Modeling, The Plant Cell, Proceedings of the National Academy of Sciences, Nature Genetics and Cell Host & Microbe.
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.