Roger J. Daly

20.6k citations
173 papers · 14.0k indexed · 7 hit papers · h-index 59

Impact in

    • Cell Adhesion Molecules Research
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Tyrosine Phosphatases
    • PI3K/AKT/mTOR signaling in cancer
    • Machine Learning in Bioinformatics
    • Ubiquitin and proteasome pathways

Papers in

    • Microtubule and mitosis dynamics 17
    • Cellular Mechanics and Interactions 11

Roger J. Daly

171 papers receiving 13.8k citations

Hit Papers

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data 2019 · 323 citations
32319922026200320144008001.2k

Peers

Roger J. Daly
Comparison fields: 5 of 149
  • Immunology and Allergy 1.1k
  • Molecular Biology 10.5k
  • Cell Biology 2.2k
  • Oncology 3.4k
  • Cancer Research 1.7k
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Roger J. Daly relative to Paul Polakis United States Paul Polakis's profile →
Citations per field
00.5×4.7×
Paul Polakis · 1×
Citations per year

Countries citing papers authored by Roger J. Daly

Since Specialization
Citations

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

Fields of papers citing papers by Roger J. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger J. Daly. 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 Roger J. Daly. The network helps show where Roger J. Daly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20232
4 202314
5 20227
6 202190
7 202123
8 202019
9 202017
10 202047
11 201814
12 201769
13 201612
14 201341
15 201367
16 201386
17 20124
18 2010141
19 200055
20 1999173

About Roger J. Daly

Roger J. Daly is a scholar working on Cell Biology, Aging, Molecular Biology, Oncology and Immunology and Allergy, having authored 173 papers that have together received 14.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (30 papers), Protein Tyrosine Phosphatases (21 papers), Microtubule and mitosis dynamics (17 papers), HER2/EGFR in Cancer Research (16 papers), Ubiquitin and proteasome pathways (16 papers), Cell Adhesion Molecules Research (11 papers), Cancer-related Molecular Pathways (11 papers) and Cellular Mechanics and Interactions (11 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Molecular Biology (10.5k citations), Cell Biology (2.2k citations), Oncology (3.4k citations) and Cancer Research (1.7k citations). Roger J. Daly has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Andreas Batzer, Joseph Schlessinger, Robert L. Sutherland, Tilman Brummer, A. Ullrich, Edward Y. Skolnik, Dafna Bar‐Sagi, Elizabeth A. Musgrove, Ben Margolis and Reiner Lammers. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Nature Communications, International Journal of Cancer and Cancer Research.

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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