M. Mitchell Smith
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- RNA Research and Splicing
- Aging top 10%
Papers in
-
- Genomics and Chromatin Dynamics 15
- DNA Repair Mechanisms 6
- Epigenetics and DNA Methylation 6
- Fungal and yeast genetics research 3
- RNA Research and Splicing 3
- RNA modifications and cancer 2
-
- Plant Molecular Biology Research 3
- Chromosomal and Genetic Variations 2
- Co-authors
- Masayoshi Iizuka (4 shared papers)Steven Henikoff (1 shared paper)Maria Santisteban (4 shared papers)Tatyana Kalashnikova (1 shared paper)Paul C. Megee (2 shared papers)Patrick A. Grant (2 shared papers)C. David Allis (4 shared papers)Qifeng Qiu (2 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Cell (2 papers)Gene (1 paper)Nature Cell Biology (1 paper)Nature (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
M. Mitchell Smith
17 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 2.0k
- Aging 28
- Plant Science 383
- Cell Biology 161
- Cancer Research 91
Countries citing papers authored by M. Mitchell Smith
This map shows the geographic impact of M. Mitchell Smith'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 M. Mitchell Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mitchell Smith more than expected).
Fields of papers citing papers by M. Mitchell Smith
This network shows the impact of papers produced by M. Mitchell Smith. 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 M. Mitchell Smith. The network helps show where M. Mitchell Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Mitchell Smith, 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 | 2002 | 468 | |
| 2 | 2015 | 284 | |
| 3 | 2000 | 271 | |
| 4 | 2003 | 255 | |
| 5 | 2005 | 212 | |
| 6 | 2006 | 163 | |
| 7 | 2002 | 102 | |
| 8 | 2009 | 79 | |
| 9 | 2010 | 72 | |
| 10 | 1996 | 66 | |
| 11 | 2007 | 58 | |
| 12 | 2011 | 51 | |
| 13 | 1992 | 35 | |
| 14 | 1996 | 29 | |
| 15 | 2012 | 23 | |
| 16 | 2011 | 22 | |
| 17 | 2011 | 21 |
About M. Mitchell Smith
M. Mitchell Smith is a scholar working on Molecular Biology, Plant Science, Pharmacology, Oncology and Genetics, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), DNA Repair Mechanisms (6 papers), Epigenetics and DNA Methylation (6 papers), Plant Molecular Biology Research (3 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Aging (28 citations), Plant Science (383 citations), Cell Biology (161 citations) and Cancer Research (91 citations). M. Mitchell Smith has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Masayoshi Iizuka, Steven Henikoff, Maria Santisteban, Tatyana Kalashnikova, Paul C. Megee, Patrick A. Grant, C. David Allis, Qifeng Qiu, Michael F. Christman and Alexander W. Bird. Their work appears in journals such as Molecular and Cellular Biology, Cell, Gene, Nature Cell Biology and Nature.
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.