David C. Hancock

7.6k citations
51 papers · 6.0k indexed · 2 hit papers · h-index 29

Impact in

  • Oncology top 1%
    • Cancer-related Molecular Pathways
    • 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

David C. Hancock

51 papers receiving 5.8k citations

Hit Papers

A modified oestrogen receptor ligand-binding domain as an improved switch for the regulation of heterologous proteins 1995 · 701 citations
701199220262003201450010001.5k2.0k2.5k

Peers

David C. Hancock
Comparison fields: 5 of 125
  • Oncology 1.9k
  • Molecular Biology 4.0k
  • Cancer Research 689
  • Immunology 863
  • Behavioral Neuroscience 125
Replace Robert P. C. Shiu with:
Robert P. C. Shiu Canada
Roland P.S. Kwok United States
Christopher J. Ormandy Australia
Rainer Renkawitz Germany
Paul K. Brindle United States
Thorsten Heinzel Germany
Omar A. Coso Argentina
Nancy A. Jenkins United States
Marian L. Waterman United States
Kornel E. Schuebel United States
David C. Hancock relative to Robert P. C. Shiu Canada Robert P. C. Shiu's profile →
Citations per field
00.5×4.0×
Robert P. C. Shiu · 1×
Citations per year

Countries citing papers authored by David C. Hancock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David C. Hancock Line = papers co-authored together David C. Hancock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20235
4 202216
5 202133
6 20217
7 2019146
8 2019127
9 201990
10 201847
11 2013123
12 2012128
13 20121
14 2012215
15 200437
16 20038
17 200328
18 199615
19 19969
20 1992119

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.

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