David Wotton

8.2k citations
72 papers · 6.7k indexed · 1 hit paper · h-index 33

Impact in

    • TGF-β signaling in diseases
    • Cancer-related gene regulation
    • Ubiquitin and proteasome pathways
    • Hedgehog Signaling Pathway Studies
    • Epigenetics and DNA Methylation
    • Kruppel-like factors research
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics
  • Aging top 2%

Papers in

    • TGF-β signaling in diseases 18
    • Cancer-related gene regulation 17
    • Kruppel-like factors research 13
    • Hedgehog Signaling Pathway Studies 11
    • Epigenetics and DNA Methylation 8
    • NF-κB Signaling Pathways 7

David Wotton

72 papers receiving 6.6k citations

Hit Papers

Smad transcription factors 2005 · 1.9k citations
1.9k200520262012201950010001.5k

Peers

David Wotton
Comparison fields: 5 of 114
  • Molecular Biology 5.5k
  • Aging 131
  • Cancer Research 681
  • Oncology 1.2k
  • Genetics 907
Replace Rotraud Wieser with:
Rotraud Wieser Austria
Lawrence Lum United States
James Hagman United States
Joerg Huelsken Switzerland
Guy Sauvageau Canada
Leanne M. Wiedemann United Kingdom
Naomi Galili United States
Richard Eckner United States
Pierre D. McCrea United States
Jan P. Dumanski Sweden
David Wotton relative to Rotraud Wieser Austria Rotraud Wieser's profile →
Citations per field
00.5×2.5×
Rotraud Wieser · 1×
Citations per year

Countries citing papers authored by David Wotton

Since Specialization
Citations

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

Fields of papers citing papers by David Wotton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202313
2 202056
3 20186
4 201813
5 201726
6 20165
7 201329
8 201222
9 20109
10 200840
11 200727
12 200711
13 200336
14 2001112
15 1999482
16 199670
17 199516
18 199470
19 199119
20 195914

About David Wotton

David Wotton is a scholar working on Molecular Biology, Cancer Research, Immunology, Pharmaceutical Science and Aging, having authored 72 papers that have together received 6.7k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (18 papers), Cancer-related gene regulation (17 papers), Kruppel-like factors research (13 papers), Hedgehog Signaling Pathway Studies (11 papers), Immune Cell Function and Interaction (10 papers), Epigenetics and DNA Methylation (8 papers), T-cell and B-cell Immunology (8 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Molecular Biology (5.5k citations), Aging (131 citations), Cancer Research (681 citations), Oncology (1.2k citations) and Genetics (907 citations). David Wotton has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Joan Massagué, Joan Seoane, Tiffany A. Melhuish, Roger S. Lo, David Shore, Michael H. Kagey, Michael J. Owen, Susan Lee, Akiko Hata and Jacques Ghysdael. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, PLoS ONE, Genes & Development and FEBS Journal.

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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