David C. Hancock
Impact in
- Oncology top 1%
- Cancer-related Molecular Pathways
- Molecular Biology top 1%
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- Protein Kinase Regulation and GTPase Signaling
- DNA Repair Mechanisms
Papers in
- Co-authors
- Gérard I. EvanTrevor D. LittlewoodCatherine WatersMary W. BrooksLinda Z. PennAndrew H. WyllieHartmut LandChristopher S. Gilbert
- Journals
- Neuroscience (3 papers)Cell Death and Disease (3 papers)Scientific Reports (2 papers)Cell (2 papers)Journal of General Virology (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
David C. Hancock
51 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Oncology 1.9k
- Molecular Biology 4.0k
- Cancer Research 689
- Immunology 863
- Behavioral Neuroscience 125
Countries citing papers authored by David C. Hancock
This map shows the geographic impact of David C. Hancock'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 David C. Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hancock more than expected).
Fields of papers citing papers by David C. Hancock
This network shows the impact of papers produced by David C. Hancock. 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 David C. Hancock. The network helps show where David C. Hancock may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. Hancock, 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 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 16 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 146 | |
| 8 | 2019 | 127 | |
| 9 | 2019 | 90 | |
| 10 | 2018 | 47 | |
| 11 | 2013 | 123 | |
| 12 | 2012 | 128 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 215 | |
| 15 | 2004 | 37 | |
| 16 | 2003 | 8 | |
| 17 | 2003 | 28 | |
| 18 | 1996 | 15 | |
| 19 | 1996 | 9 | |
| 20 | 1992 | 119 |
About David C. Hancock
David C. Hancock is a scholar working on Aging, Oncology, Molecular Biology, Microbiology and Endocrine and Autonomic Systems, having authored 51 papers that have together received 6.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Cell death mechanisms and regulation (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Virus-based gene therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Melanoma and MAPK Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Oncology (1.9k citations), Molecular Biology (4.0k citations), Cancer Research (689 citations), Immunology (863 citations) and Behavioral Neuroscience (125 citations). David C. Hancock has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Gérard I. Evan, Trevor D. Littlewood, Catherine Waters, Mary W. Brooks, Linda Z. Penn, Andrew H. Wyllie, Hartmut Land, Christopher S. Gilbert, Julian Downward and Malcolm G. Parker. Their work appears in journals such as Neuroscience, Cell Death and Disease, Scientific Reports, Cell and Journal of General Virology.
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.