Mathew T. Pletcher
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 9
- Genetic and phenotypic traits in livestock 5
- Genomic variations and chromosomal abnormalities 5
- Genetics and Neurodevelopmental Disorders 4
- Aging top 5%
- Developmental Neuroscience top 5%
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- Autism Spectrum Disorder Research 4
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- Multiple Myeloma Research and Treatments 3
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- Gene expression and cancer classification 3
- Genomics and Chromatin Dynamics 3
- Co-authors
- Tim WiltshireJohn B. HogeneschAndrew I. SuSteve A. KayLisa M. TarantinoIgnacio ProvencioDaniel C. TuAna Maria de Lauro Castrucci
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Mathew T. Pletcher
43 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrine and Autonomic Systems 520
- Cellular and Molecular Neuroscience 641
- Genetics 871
- Aging 47
- Developmental Neuroscience 108
Countries citing papers authored by Mathew T. Pletcher
This map shows the geographic impact of Mathew T. Pletcher'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 Mathew T. Pletcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew T. Pletcher more than expected).
Fields of papers citing papers by Mathew T. Pletcher
This network shows the impact of papers produced by Mathew T. Pletcher. 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 Mathew T. Pletcher. The network helps show where Mathew T. Pletcher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathew T. Pletcher, 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 | 2024 | 0 | |
| 2 | 2016 | 15 | |
| 3 | 2015 | 41 | |
| 4 | 2014 | 42 | |
| 5 | 2014 | 24 | |
| 6 | 2012 | 37 | |
| 7 | Pharmacogenomics Of Steroid Response In The Eye | 2011 | 1 |
| 8 | 2011 | 145 | |
| 9 | 2011 | 41 | |
| 10 | 2006 | 29 | |
| 11 | 2005 | 218 | |
| 12 | 2005 | 301 | |
| 13 | 2004 | 204 | |
| 14 | 2004 | 180 | |
| 15 | Melanopsin Is Required for Non-Image-Forming Photic Responses in Blind Micebreakdown → | 2003 | 557 |
| 16 | 2002 | 40 | |
| 17 | 2001 | 14 | |
| 18 | 2000 | 23 | |
| 19 | 1999 | 16 | |
| 20 | 1996 | 56 |
About Mathew T. Pletcher
Mathew T. Pletcher is a scholar working on Developmental Neuroscience, Genetics and Aging, having authored 44 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic and phenotypic traits in livestock (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Autism Spectrum Disorder Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Multiple Myeloma Research and Treatments (3 papers), Gene expression and cancer classification (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (520 citations), Cellular and Molecular Neuroscience (641 citations) and Genetics (871 citations). Mathew T. Pletcher has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Tim Wiltshire, John B. Hogenesch, Andrew I. Su, Steve A. Kay, Lisa M. Tarantino, Ignacio Provencio, Daniel C. Tu, Ana Maria de Lauro Castrucci, Susana S. Pires and Satchidananda Panda. Their work appears in journals such as Genome Research, Human Molecular Genetics, Genomics, Proceedings of the National Academy of Sciences and Nature Genetics.
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.