Thomas W. Sturgill

13.3k citations
101 papers · 11.7k indexed · 6 hit papers · h-index 52
    • Protein Kinase Regulation and GTPase Signaling 49
    • Melanoma and MAPK Pathways 37
    • PI3K/AKT/mTOR signaling in cancer 13
    • Protein Tyrosine Phosphatases 12
    • Viral Infectious Diseases and Gene Expression in Insects 11
    • Fungal and yeast genetics research 9
    • Ubiquitin and proteasome pathways 7
  • Aging top 1%
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics 5
  • Oncology top 2%

Thomas W. Sturgill

101 papers receiving 11.4k citations

Hit Papers

Inhibition of the EGF-Activated MAP Kinase Signaling Path...8241977202619932009250500750

Peers

Thomas W. Sturgill
Comparison fields: 5 of 121
  • Molecular Biology 9.6k
  • Aging 223
  • Cell Biology 1.9k
  • Oncology 1.6k
  • Cancer Research 830
Replace Steven Pelech with:
Steven Pelech Canada
Nick Morrice United Kingdom
Mária Deák United Kingdom
Kazuyoshi Yonezawa Japan
Kenta Hara Japan
Richard B. Pearson Australia
Edward Y. Skolnik United States
Marc C. Mumby United States
E G Krebs United States
Alan J. Whitmarsh United Kingdom
Thomas W. Sturgill relative to Steven Pelech Canada Steven Pelech's profile →
Citations per field
00.5×1.5×
Steven Pelech · 1×
Citations per year

Countries citing papers authored by Thomas W. Sturgill

Since Specialization
Citations

This map shows the geographic impact of Thomas W. Sturgill'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 Thomas W. Sturgill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas W. Sturgill more than expected).

Fields of papers citing papers by Thomas W. Sturgill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Sturgill. 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 Thomas W. Sturgill. The network helps show where Thomas W. Sturgill may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Thomas W. Sturgill, 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 Thomas W. Sturgill Line = papers co-authored together Thomas W. Sturgill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201010
2 200815
3 200762
4 2004230
5 200446
6 200238
7 200011
8 199798
9 199633
10 1995120
11 1995163
12 199457
13 199421
14 199315
15 199366
16 199325
17 1991407
18 199187
19 19907
20
Insulin-stimulated MAP-2 kinase phosphorylates and activates ribosomal protein S6 kinase IIbreakdown →
1988927

About Thomas W. Sturgill

Thomas W. Sturgill is a scholar working on Molecular Biology, Cell Biology and Aging, having authored 101 papers that have together received 11.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (49 papers), Melanoma and MAPK Pathways (37 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Protein Tyrosine Phosphatases (12 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Fungal and yeast genetics research (9 papers), Ubiquitin and proteasome pathways (7 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Molecular Biology (9.6k citations), Aging (223 citations) and Cell Biology (1.9k citations). Thomas W. Sturgill has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jie Wu, Paul Dent, Michael J. Weber, James L. Maller, L. Bryan Ray, Neil G. Anderson, N. K. Tonks, Anthony Rossomando, E Erikson and Tomáš Jelı́nek. Their work appears in journals such as Nature, Science 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.

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