Scott Ogg
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- FOXO transcription factor regulation 4
- Ubiquitin and proteasome pathways 3
- 14-3-3 protein interactions 2
- Epigenetics and DNA Methylation 1
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- Microtubule and mitosis dynamics 4
- Co-authors
- Gary Ruvkun (4 shared papers)Heidi A. Tissenbaum (1 shared paper)S Gottlieb (1 shared paper)Garth I. Patterson (1 shared paper)Linda Lee (1 shared paper)Suzanne Paradis (1 shared paper)Helen Piwnica‐Worms (5 shared papers)L L Parker (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Biology of the Cell (1 paper)The EMBO Journal (1 paper)Molecular Cell (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Scott Ogg
9 papers receiving 2.9k citations
Scott Ogg's Hit Papers
Peers
Comparison fields: 5 of 93
- Aging 1.6k
- Endocrine and Autonomic Systems 581
- Molecular Biology 2.0k
- Cell Biology 455
- Geriatrics and Gerontology 94
Countries citing papers authored by Scott Ogg
This map shows the geographic impact of Scott Ogg'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 Ogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Ogg more than expected).
Fields of papers citing papers by Scott Ogg
This network shows the impact of papers produced by Scott Ogg. 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 Ogg. The network helps show where Scott Ogg may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Ogg, 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 | The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegans Hit paper breakdown → | 1997 | 1603 |
| 2 | 1998 | 353 | |
| 3 | 1991 | 194 | |
| 4 | C-TAK1 protein kinase phosphorylates human Cdc25C on serine 216 and promotes 14-3-3 protein binding. | 1998 | 190 |
| 5 | 2001 | 185 | |
| 6 | 1992 | 183 | |
| 7 | 2000 | 142 | |
| 8 | 1994 | 80 | |
| 9 | 1991 | 8 |
About Scott Ogg
Scott Ogg is a scholar working on Molecular Biology, Cell Biology, Aging, Oncology and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), FOXO transcription factor regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (2 papers), 14-3-3 protein interactions (2 papers), Epigenetics and DNA Methylation (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Aging (1.6k citations), Endocrine and Autonomic Systems (581 citations), Molecular Biology (2.0k citations), Cell Biology (455 citations) and Geriatrics and Gerontology (94 citations). Scott Ogg has collaborated with scholars based in United States and Australia. Frequent co-authors include Gary Ruvkun, Heidi A. Tissenbaum, S Gottlieb, Garth I. Patterson, Linda Lee, Suzanne Paradis, Helen Piwnica‐Worms, L L Parker, Maria Alexander-Bridges and Nargis Nasrin. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, The EMBO Journal, Molecular Cell 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.