Scott G. Clark
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 0.2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
- Aging 18
- Genetics, Aging, and Longevity in Model Organisms 18
-
- Circadian rhythm and melatonin 7
- Co-authors
- David RonFumihiko UranoHeather P. HardingMarcella A. CalfonHuiqing ZengStevan R. HubbardMichael SternGreg J. Beitel
- Journals
- Development (5 papers)Nature (4 papers)Current Biology (3 papers)Science (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Scott G. Clark
24 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 1.7k
- Cell Biology 2.7k
- Endocrine and Autonomic Systems 506
- Molecular Biology 3.2k
- Cellular and Molecular Neuroscience 552
Countries citing papers authored by Scott G. Clark
This map shows the geographic impact of Scott G. Clark'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 Scott G. Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott G. Clark more than expected).
Fields of papers citing papers by Scott G. Clark
This network shows the impact of papers produced by Scott G. Clark. 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 Scott G. Clark. The network helps show where Scott G. Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott G. Clark, 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 | 2014 | 0 | |
| 2 | 2011 | 21 | |
| 3 | 2007 | 172 | |
| 4 | 2006 | 180 | |
| 5 | 2006 | 135 | |
| 6 | 2006 | 109 | |
| 7 | 2004 | 485 | |
| 8 | 2003 | 62 | |
| 9 | 2003 | 96 | |
| 10 | IRE1 couples endoplasmic reticulum load to secretory capacity by processing the XBP-1 mRNA Hit paper breakdown → | 2002 | 2258 |
| 11 | 2002 | 168 | |
| 12 | 2002 | 10 | |
| 13 | 2002 | 37 | |
| 14 | 2001 | 49 | |
| 15 | 1997 | 106 | |
| 16 | 1996 | 57 | |
| 17 | 1993 | 228 | |
| 18 | C. elegans cell-signalling gene sem-5 encodes a protein with SH2 and SH3 domains Hit paper breakdown → | 1992 | 549 |
| 19 | 1990 | 357 | |
| 20 | 1985 | 77 |
About Scott G. Clark
Scott G. Clark is a scholar working on Aging, Endocrine and Autonomic Systems, Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 26 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Circadian rhythm and melatonin (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Mitochondrial Function and Pathology (4 papers), Cancer-related Molecular Pathways (3 papers), Muscle Physiology and Disorders (3 papers), Peptidase Inhibition and Analysis (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (1.7k citations), Cell Biology (2.7k citations), Endocrine and Autonomic Systems (506 citations), Molecular Biology (3.2k citations) and Cellular and Molecular Neuroscience (552 citations). Scott G. Clark has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include David Ron, Fumihiko Urano, Heather P. Harding, Marcella A. Calfon, Huiqing Zeng, Stevan R. Hubbard, Michael Stern, Greg J. Beitel, H. Robert Horvitz and Takunari Yoneda. Their work appears in journals such as Development, Nature, Current Biology, Science and Journal of Cell Science.
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.