Simon P. Tuck
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
- Aging 24
- Genetics, Aging, and Longevity in Model Organisms 24
-
- Circadian rhythm and melatonin 6
- Co-authors
- Greg Matlashewski (2 shared papers)Lionel Vivian Crawford (2 shared papers)Peter Lamb (2 shared papers)D. C. Pim (2 shared papers)Johannes Schneider (2 shared papers)Lionel Crawford (2 shared papers)Changchun Chen (1 shared paper)Andeŕs S. Byström (1 shared paper)
- Journals
- Molecular and Cellular Biology (4 papers)Development (4 papers)Genetics (3 papers)Molecular Biology of the Cell (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Simon P. Tuck
42 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 114
- Aging 738
- Endocrine and Autonomic Systems 203
- Endocrinology 129
- Molecular Biology 1.4k
- Oncology 520
Countries citing papers authored by Simon P. Tuck
This map shows the geographic impact of Simon P. Tuck'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 Simon P. Tuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon P. Tuck more than expected).
Fields of papers citing papers by Simon P. Tuck
This network shows the impact of papers produced by Simon P. Tuck. 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 Simon P. Tuck. The network helps show where Simon P. Tuck may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon P. Tuck, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 429 | |
| 2 | 2004 | 223 | |
| 3 | 2004 | 150 | |
| 4 | 1999 | 134 | |
| 5 | 2006 | 131 | |
| 6 | 2009 | 113 | |
| 7 | 2000 | 108 | |
| 8 | 2007 | 102 | |
| 9 | 1989 | 98 | |
| 10 | 2002 | 97 | |
| 11 | 2005 | 95 | |
| 12 | 2012 | 76 | |
| 13 | 2010 | 73 | |
| 14 | 2011 | 68 | |
| 15 | 1987 | 59 | |
| 16 | 2002 | 58 | |
| 17 | 2008 | 55 | |
| 18 | 2018 | 46 | |
| 19 | 2004 | 44 | |
| 20 | 1983 | 40 |
About Simon P. Tuck
Simon P. Tuck is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Cell Biology and Nutrition and Dietetics, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (24 papers), Circadian rhythm and melatonin (6 papers), Selenium in Biological Systems (4 papers), Mitochondrial Function and Pathology (4 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers), CRISPR and Genetic Engineering (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Aging (738 citations), Endocrine and Autonomic Systems (203 citations), Endocrinology (129 citations), Molecular Biology (1.4k citations) and Oncology (520 citations). Simon P. Tuck has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Greg Matlashewski, Lionel Vivian Crawford, Peter Lamb, D. C. Pim, Johannes Schneider, Lionel Crawford, Changchun Chen, Andeŕs S. Byström, Iva Greenwald and John Yochem. Their work appears in journals such as Molecular and Cellular Biology, Development, Genetics, Molecular Biology of the Cell and Proceedings of the National Academy of Sciences.
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.