Thomas W. Chittenden
- Molecular Biology top 1%
- Oncology top 1%
- Cancer Research top 2%
- Immunology top 5%
- Genetics top 2%
- Co-authors
- Robert J. LutzWilliam G. KaelinDavid M. LivingstonGerard P. ZambettiMasashi NaritaShigeomi ShimizuToshinori ItoHikaru Matsuda
- Topics
- Cell death mechanisms and regulation (10 papers)Cancer-related Molecular Pathways (9 papers)Viral-associated cancers and disorders (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Thomas W. Chittenden
47 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 5.2k
- Oncology 2.2k
- Cancer Research 961
- Immunology 833
- Genetics 813
Countries citing papers authored by Thomas W. Chittenden
This map shows the geographic impact of Thomas W. Chittenden'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. Chittenden 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. Chittenden more than expected).
Fields of papers citing papers by Thomas W. Chittenden
This network shows the impact of papers produced by Thomas W. Chittenden. 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. Chittenden. The network helps show where Thomas W. Chittenden may publish in the future.
Co-authorship network of co-authors of Thomas W. Chittenden
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas W. Chittenden. A scholar is included among the top collaborators of Thomas W. Chittenden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas W. Chittenden. Thomas W. Chittenden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 21 | |
| 3 | Unconventional machine learning of genome-wide human cancer data | 3 |
| 4 | 188 | |
| 5 | Aging and neurodegeneration are associated with increased mutations in single human neuronsbreakdown → | 389 |
| 6 | 1 | |
| 7 | 46 | |
| 8 | 19 | |
| 9 | 112 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | Puma is an essential mediator of p53-dependent and -independent apoptotic pathwaysbreakdown → | 727 |
| 13 | 194 | |
| 14 | 212 | |
| 15 | 21 | |
| 16 | Induction of apoptosis by the Bcl-2 homologue Bakbreakdown → | 644 |
| 17 | 88 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | The T/E1A-binding domain of the retinoblastoma product can interact selectively with a sequence-specific DNA-binding proteinbreakdown → | 364 |
About Thomas W. Chittenden
Thomas W. Chittenden is a scholar working on Oncology, Ophthalmology and Cell Biology, having authored 49 papers that have together received 7.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Cancer-related Molecular Pathways (9 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Oncology (2.2k citations), Molecular Biology (5.2k citations) and Cancer Research (961 citations). Thomas W. Chittenden has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Robert J. Lutz, William G. Kaelin, David M. Livingston, Gerard P. Zambetti, Masashi Narita, Shigeomi Shimizu, Toshinori Ito, Hikaru Matsuda, Yoshihide Tsujimoto and Braydon C. Guild. Their work appears in journals such as Nature, Science and 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.