Tom Curran
- Developmental Neuroscience top 0.01%
- Neurogenesis and neuroplasticity mechanisms 39
- Cellular and Molecular Neuroscience top 0.02%
- Neuroscience and Neuropharmacology Research 29
- Molecular Biology top 0.02%
- Hedgehog Signaling Pathway Studies 32
- Epigenetics and DNA Methylation 31
- Genomics and Chromatin Dynamics 27
- RNA Research and Splicing 20
- RNA modifications and cancer 17
- Behavioral Neuroscience top 0.2%
- Cancer Research top 0.1%
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- Virus-based gene therapy research 21
- Co-authors
- James P. MorganFrank J. RauscherB. Robert FranzaDonna CohénInder M. VermaGabriella D’ArcangeloSteven XanthoudakisTom K. Kerppola
- Journals
- Molecular and Cellular Biology (37 papers)Science (15 papers)Proceedings of the National Academy of Sciences (12 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Tom Curran
273 papers receiving 49.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Developmental Neuroscience 6.1k
- Cellular and Molecular Neuroscience 14.5k
- Molecular Biology 32.0k
- Behavioral Neuroscience 1.3k
- Cancer Research 5.0k
Countries citing papers authored by Tom Curran
This map shows the geographic impact of Tom Curran'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 Curran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Curran more than expected).
Fields of papers citing papers by Tom Curran
This network shows the impact of papers produced by Tom Curran. 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 Curran. The network helps show where Tom Curran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Curran, 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 | 2023 | 24 | |
| 2 | 2022 | 15 | |
| 3 | 2019 | 12 | |
| 4 | 2018 | 53 | |
| 5 | 2017 | 48 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 30 | |
| 8 | 2013 | 79 | |
| 9 | 2013 | 164 | |
| 10 | 2008 | 7 | |
| 11 | 2007 | 27 | |
| 12 | 2006 | 113 | |
| 13 | 2006 | 76 | |
| 14 | 1997 | 3 | |
| 15 | 1994 | 87 | |
| 16 | 1994 | 8 | |
| 17 | 1993 | 14 | |
| 18 | 1992 | 24 | |
| 19 | 1991 | 24 | |
| 20 | 1990 | 22 |
About Tom Curran
Tom Curran is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 276 papers that have together received 50.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (39 papers), Hedgehog Signaling Pathway Studies (32 papers), Epigenetics and DNA Methylation (31 papers), Neuroscience and Neuropharmacology Research (29 papers), Genomics and Chromatin Dynamics (27 papers), Virus-based gene therapy research (21 papers), RNA Research and Splicing (20 papers) and RNA modifications and cancer (17 papers). The work is most often cited by research in Developmental Neuroscience (6.1k citations), Cellular and Molecular Neuroscience (14.5k citations) and Molecular Biology (32.0k citations). Tom Curran has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include James P. Morgan, Frank J. Rauscher, B. Robert Franza, Donna Cohén, Inder M. Verma, Gabriella D’Arcangelo, Steven Xanthoudakis, Tom K. Kerppola, Dennis S. Rice and Rolf Müller. Their work appears in journals such as Molecular and Cellular Biology, Science, Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.