Tom Sculley
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 15
- Viral-associated cancers and disorders 15
-
- Lymphoma Diagnosis and Treatment 10
- Co-authors
- Wayne A. Schroder (4 shared papers)David M. Sabatini (1 shared paper)Jacob D. Jaffe (1 shared paper)María A. Frías (1 shared paper)Carson C. Thoreen (1 shared paper)Steven A. Carr (1 shared paper)James M. Flanagan (2 shared papers)Jaap M. Middeldorp (1 shared paper)
- Journals
- Journal of General Virology (6 papers)Blood (2 papers)Cellular Signalling (2 papers)Journal of Virology (1 paper)Gene (1 paper)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Tom Sculley
20 papers receiving 1.3k citations
Tom Sculley's Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 441
- Pathology and Forensic Medicine 253
- Aging 24
- Molecular Biology 766
- Immunology 211
Countries citing papers authored by Tom Sculley
This map shows the geographic impact of Tom Sculley'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 Tom Sculley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sculley more than expected).
Fields of papers citing papers by Tom Sculley
This network shows the impact of papers produced by Tom Sculley. 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 Tom Sculley. The network helps show where Tom Sculley may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Sculley, 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 | mSin1 Is Necessary for Akt/PKB Phosphorylation, and Its Isoforms Define Three Distinct mTORC2s Hit paper breakdown → | 2006 | 578 |
| 2 | 1983 | 158 | |
| 3 | 2003 | 145 | |
| 4 | 2007 | 92 | |
| 5 | 1993 | 58 | |
| 6 | 1993 | 53 | |
| 7 | 2010 | 47 | |
| 8 | 1992 | 36 | |
| 9 | 2004 | 34 | |
| 10 | 2004 | 29 | |
| 11 | 1998 | 22 | |
| 12 | 2004 | 16 | |
| 13 | 2006 | 12 | |
| 14 | 1997 | 10 | |
| 15 | 2006 | 10 | |
| 16 | 2006 | 5 | |
| 17 | 2002 | 4 | |
| 18 | 1991 | 3 | |
| 19 | Comparison of A-type and B-type Epstein-Barr virus | 1999 | 3 |
| 20 | 1999 | 2 |
About Tom Sculley
Tom Sculley is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Immunology and Infectious Diseases, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (15 papers), Lymphoma Diagnosis and Treatment (10 papers), Parvovirus B19 Infection Studies (3 papers), T-cell and Retrovirus Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Ubiquitin and proteasome pathways (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Oncology (441 citations), Pathology and Forensic Medicine (253 citations), Aging (24 citations), Molecular Biology (766 citations) and Immunology (211 citations). Tom Sculley has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Wayne A. Schroder, David M. Sabatini, Jacob D. Jaffe, María A. Frías, Carson C. Thoreen, Steven A. Carr, James M. Flanagan, Jaap M. Middeldorp, Gillian R. Bushell and Benjamin T. Vroman. Their work appears in journals such as Journal of General Virology, Blood, Cellular Signalling, Journal of Virology and Gene.
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.