Thomas W. Sturgill
- Molecular Biology top 0.5%
- 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%
- Cancer Research top 2%
- Co-authors
- Jie WuPaul DentMichael J. WeberJames L. MallerL. Bryan RayNeil G. AndersonN. K. TonksAnthony Rossomando
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Nature (3 papers)Science (3 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Thomas W. Sturgill
101 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 9.6k
- Aging 223
- Cell Biology 1.9k
- Oncology 1.6k
- Cancer Research 830
Countries citing papers authored by Thomas W. Sturgill
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 10 | |
| 2 | 2008 | 15 | |
| 3 | 2007 | 62 | |
| 4 | 2004 | 230 | |
| 5 | 2004 | 46 | |
| 6 | 2002 | 38 | |
| 7 | 2000 | 11 | |
| 8 | 1997 | 98 | |
| 9 | 1996 | 33 | |
| 10 | 1995 | 120 | |
| 11 | 1995 | 163 | |
| 12 | 1994 | 57 | |
| 13 | 1994 | 21 | |
| 14 | 1993 | 15 | |
| 15 | 1993 | 66 | |
| 16 | 1993 | 25 | |
| 17 | 1991 | 407 | |
| 18 | 1991 | 87 | |
| 19 | 1990 | 7 | |
| 20 | Insulin-stimulated MAP-2 kinase phosphorylates and activates ribosomal protein S6 kinase IIbreakdown → | 1988 | 927 |
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.