Tom Misteli
Impact in
- Molecular Biology top 1%
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Biophysics top 1%
Papers in
-
- Cell Image Analysis Techniques 5
- Co-authors
- Robert D. PhairMiroslav DundrDavid T. BrownThierry CheutinThomas JenuweinPrim B. SinghDavid M. GilbertAdrian J. McNairn
- Journals
- Cell (3 papers)Molecular Biology of the Cell (3 papers)Molecular and Cellular Biology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Tom Misteli
47 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 4.3k
- Biophysics 296
- Aging 58
- Cancer Research 349
- Cell Biology 303
Countries citing papers authored by Tom Misteli
This map shows the geographic impact of Tom Misteli'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 Tom Misteli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Misteli more than expected).
Fields of papers citing papers by Tom Misteli
This network shows the impact of papers produced by Tom Misteli. 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 Tom Misteli. The network helps show where Tom Misteli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Misteli, 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 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 2 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 34 | |
| 9 | 2016 | 378 | |
| 10 | 2015 | 88 | |
| 11 | 2013 | 48 | |
| 12 | 2012 | 6 | |
| 13 | 2012 | 17 | |
| 14 | 2011 | 95 | |
| 15 | 2010 | 211 | |
| 16 | 2008 | 25 | |
| 17 | 2007 | 10 | |
| 18 | Ubiquitination Regulates PTEN Nuclear Import and Tumor Suppression Hit paper breakdown → | 2007 | 593 |
| 19 | 2005 | 35 | |
| 20 | High mobility of proteins in the mammalian cell nucleus Hit paper breakdown → | 2000 | 1008 |
About Tom Misteli
Tom Misteli is a scholar working on Biophysics, Structural Biology, Molecular Biology, Genetics and Cancer Research, having authored 48 papers that have together received 4.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (22 papers), Genomics and Chromatin Dynamics (18 papers), Nuclear Structure and Function (8 papers), RNA modifications and cancer (8 papers), RNA and protein synthesis mechanisms (6 papers), DNA Repair Mechanisms (5 papers), Cell Image Analysis Techniques (5 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Biophysics (296 citations), Aging (58 citations), Cancer Research (349 citations) and Cell Biology (303 citations). Tom Misteli has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Robert D. Phair, Miroslav Dundr, David T. Brown, Thierry Cheutin, Thomas Jenuwein, Prim B. Singh, David M. Gilbert, Adrian J. McNairn, Ty C. Voss and Mark O. J. Olson. Their work appears in journals such as Cell, Molecular Biology of the Cell, Molecular and Cellular Biology, Bioorganic & Medicinal Chemistry Letters and The Journal of Experimental Medicine.
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.