Scott Ogg

4.4k citations
9 papers · 2.9k indexed · 1 hit paper · h-index 9

Scott Ogg

9 papers receiving 2.9k citations

Hit Papers

The Fork head transcription factor DAF-16 transduces insu...1.6k199720262006201650010001.5k

Peers

Scott Ogg
Comparison fields: 5 of 93
  • Aging 1.6k
  • Endocrine and Autonomic Systems 581
  • Molecular Biology 2.0k
  • Cell Biology 455
  • Geriatrics and Gerontology 94
Replace S Gottlieb with:
S Gottlieb United States
Kristan K. Steffen United States
Kui Lin China
Krisztina Takács‐Vellai Hungary
Kira Glover-Cutter United States
Yanxia Liu China
Kui Lin United States
Barbara Conradt Germany
Rueyling Lin United States
Christian G. Riedel Sweden
Scott Ogg relative to S Gottlieb United States S Gottlieb's profile →
Citations per field
00.5×4.1×
S Gottlieb · 1×
Citations per year

Countries citing papers authored by Scott Ogg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Scott Ogg Line = papers co-authored together Scott Ogg links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001185
2 2000142
3 1998353
4
C-TAK1 protein kinase phosphorylates human Cdc25C on serine 216 and promotes 14-3-3 protein binding.
1998190
5
The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegansbreakdown →
19971603
6 199480
7 1992183
8 19918
9 1991194

About Scott Ogg

Scott Ogg is a scholar working on Aging, Cell Biology, Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism, 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), Hormonal Regulation and Hypertension (1 paper) and Protein Kinase Regulation and GTPase Signaling (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, Linda Lee, Suzanne Paradis, S Gottlieb, Garth I. Patterson, Heidi A. Tissenbaum, Helen Piwnica‐Worms, L L Parker, Catherine M. Cahill and Nargis Nasrin. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, The EMBO Journal, Nature and Molecular Cell.

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.

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