Stephen Nurrish
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 15
- Genetics, Aging, and Longevity in Model Organisms 15
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- Retinal Development and Disorders 2
- Photosynthetic Processes and Mechanisms 2
- Co-authors
- Joshua M. Kaplan (8 shared papers)Laurent Ségalat (1 shared paper)Rachel McMullan (6 shared papers)Richard Treisman (1 shared paper)Jon M. Madison (1 shared paper)Arantza Barrios (1 shared paper)Scott W. Emmons (1 shared paper)Paul Morrison (1 shared paper)
- Journals
- Genes & Development (2 papers)PLoS ONE (2 papers)Current Biology (2 papers)eLife (2 papers)Traffic (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Stephen Nurrish
22 papers receiving 945 citations
Peers
Comparison fields: 5 of 77
- Aging 440
- Endocrine and Autonomic Systems 256
- Cell Biology 183
- Cellular and Molecular Neuroscience 200
- Molecular Biology 495
Countries citing papers authored by Stephen Nurrish
This map shows the geographic impact of Stephen Nurrish'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 Stephen Nurrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Nurrish more than expected).
Fields of papers citing papers by Stephen Nurrish
This network shows the impact of papers produced by Stephen Nurrish. 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 Stephen Nurrish. The network helps show where Stephen Nurrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Nurrish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 262 | |
| 2 | 2005 | 115 | |
| 3 | 1995 | 87 | |
| 4 | 1991 | 81 | |
| 5 | 2008 | 79 | |
| 6 | 2006 | 67 | |
| 7 | 1992 | 63 | |
| 8 | 2006 | 39 | |
| 9 | 2012 | 39 | |
| 10 | 2009 | 23 | |
| 11 | 2008 | 20 | |
| 12 | 2011 | 18 | |
| 13 | 2010 | 14 | |
| 14 | 2017 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2007 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2002 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 3 |
About Stephen Nurrish
Stephen Nurrish is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Social Psychology, having authored 22 papers that have together received 965 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (9 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroendocrine regulation and behavior (3 papers), Neuroscience and Neural Engineering (2 papers), Retinal Development and Disorders (2 papers), Photoreceptor and optogenetics research (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Aging (440 citations), Endocrine and Autonomic Systems (256 citations), Cell Biology (183 citations), Cellular and Molecular Neuroscience (200 citations) and Molecular Biology (495 citations). Stephen Nurrish has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Joshua M. Kaplan, Laurent Ségalat, Rachel McMullan, Richard Treisman, Jon M. Madison, Arantza Barrios, Scott W. Emmons, Paul Morrison, Kate Harrison and Suzanne Bourgeois. Their work appears in journals such as Genes & Development, PLoS ONE, Current Biology, eLife and Traffic.
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.