Simon Tuck
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
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- Cellular transport and secretion 6
- Co-authors
- D. C. Pim (1 shared paper)Greg Matlashewski (1 shared paper)Peter Lamb (1 shared paper)Lionel Vivian Crawford (1 shared paper)Lionel Crawford (1 shared paper)Changchun Chen (1 shared paper)Andeŕs S. Byström (1 shared paper)Iva Greenwald (2 shared papers)
- Journals
- Development (4 papers)Molecular Biology of the Cell (3 papers)Genetics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Simon Tuck
39 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Aging 251
- Endocrinology 113
- Cell Biology 314
- Oncology 361
- Molecular Biology 976
Countries citing papers authored by Simon Tuck
This map shows the geographic impact of Simon 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 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 Tuck more than expected).
Fields of papers citing papers by Simon Tuck
This network shows the impact of papers produced by Simon 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 Tuck. The network helps show where Simon Tuck may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 446 | |
| 2 | 2004 | 225 | |
| 3 | 2004 | 150 | |
| 4 | 1999 | 133 | |
| 5 | 2006 | 132 | |
| 6 | 2009 | 113 | |
| 7 | 2000 | 108 | |
| 8 | 2007 | 101 | |
| 9 | 1989 | 97 | |
| 10 | 2002 | 97 | |
| 11 | 2005 | 94 | |
| 12 | 2012 | 77 | |
| 13 | 2010 | 74 | |
| 14 | 2011 | 68 | |
| 15 | 2002 | 58 | |
| 16 | 2008 | 55 | |
| 17 | 2018 | 46 | |
| 18 | 2004 | 44 | |
| 19 | 2011 | 39 | |
| 20 | 2018 | 39 |
About Simon Tuck
Simon Tuck is a scholar working on Aging, Cell Biology, Molecular Biology, Biochemistry and Nutrition and Dietetics, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Developmental Biology and Gene Regulation (6 papers), Lipid metabolism and biosynthesis (3 papers), Selenium in Biological Systems (3 papers), RNA and protein synthesis mechanisms (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Aging (251 citations), Endocrinology (113 citations), Cell Biology (314 citations), Oncology (361 citations) and Molecular Biology (976 citations). Simon Tuck has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include D. C. Pim, Greg Matlashewski, Peter Lamb, Lionel Vivian Crawford, Lionel Crawford, Changchun Chen, Andeŕs S. Byström, Iva Greenwald, John Yochem and Min Han. Their work appears in journals such as Development, Molecular Biology of the Cell, Genetics, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.
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.