David F. Allison

1.9k citations
16 papers · 1.5k · h-index 14

Impact in

    • Epigenetics and DNA Methylation
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research
    • Ubiquitin and proteasome pathways
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Protein Degradation and Inhibitors 5
    • Epigenetics and DNA Methylation 3
    • Histone Deacetylase Inhibitors Research 3
    • DNA Repair Mechanisms 2
    • Ubiquitin and proteasome pathways 2
    • Kruppel-like factors research 2
    • Genomics and Chromatin Dynamics 2
    • Cancer Cells and Metastasis 2

David F. Allison

15 papers receiving 1.5k citations

Peers

David F. Allison
Comparison fields: 5 of 91
  • Molecular Biology 1.2k
  • Cell Biology 256
  • Immunology and Allergy 78
  • Cancer Research 174
  • Hematology 112
Replace Etienne Danis with:
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Lynn S. White United States
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Baoxia Dong China
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Citations per field
00.5×1.5×
Etienne Danis · 1×
Citations per year

Countries citing papers authored by David F. Allison

Since Specialization
Citations

This map shows the geographic impact of David F. Allison'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 F. Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Allison more than expected).

Fields of papers citing papers by David F. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Allison. 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 F. Allison. The network helps show where David F. Allison may publish in the future.

Co-authors

The 25 scholars most cited alongside David F. Allison, 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 F. Allison Line = papers co-authored together David F. Allison links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003351
2 2014179
3 2003130
4 2022128
5 201299
6 201396
7 201989
8 201581
9 202070
10 201461
11 201953
12 201948
13 201341
14 201832
15 201413
16 20250

About David F. Allison

David F. Allison is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Kruppel-like factors research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (256 citations), Immunology and Allergy (78 citations), Cancer Research (174 citations) and Hematology (112 citations). David F. Allison has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Gang Greg Wang, Victor Faúndez, Andrew P. Kowalczyk, Kathleen M. Buckley, Peter Vincent, Marty W. Mayo, David R. Jones, J. Jacob Wamsley, Ling Cai and Stefan Bekiranov. Their work appears in journals such as Blood, Oncogene, Cancer Research, PLoS ONE and Stem Cell Reports.

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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