John Doran

771 citations
17 papers · 550 · h-index 10

Impact in

    • Microtubule and mitosis dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Melanoma and MAPK Pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Biochemical and Structural Characterization 2
    • Metabolism, Diabetes, and Cancer 1
    • Microtubule and mitosis dynamics 3

John Doran

17 papers receiving 536 citations

Peers

John Doran
Comparison fields: 5 of 75
  • Cell Biology 95
  • Molecular Biology 343
  • Cellular and Molecular Neuroscience 56
  • Oncology 83
  • Computational Theory and Mathematics 46
Replace Christine Orr with:
Christine Orr Canada
Thomas Schroeter United States
Amjad Husain United States
Aradhana Awasthi United States
Tomoki Kawai Japan
Alessandra Vitaliti Switzerland
Masayuki Haramura Japan
Sandro Boland Belgium
Hana Hartmannová Czechia
Anne Gardin Switzerland
John Doran relative to Christine Orr Canada Christine Orr's profile →
Citations per field
00.5×1.6×
Christine Orr · 1×
Citations per year

Countries citing papers authored by John Doran

Since Specialization
Citations

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

Fields of papers citing papers by John Doran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005212
2 199957
3 200451
4 200346
5 201439
6 201037
7 199635
8 199623
9 202118
10 19999
11 20067
12 20065
13 19965
14 20232
15 19952
16 20081
17 20111

About John Doran

John Doran is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Biotechnology, having authored 17 papers that have together received 550 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Microtubule and mitosis dynamics (3 papers), Peptidase Inhibition and Analysis (2 papers), Biochemical and Structural Characterization (2 papers), Protease and Inhibitor Mechanisms (2 papers), Enzyme Production and Characterization (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cell Biology (95 citations), Molecular Biology (343 citations), Cellular and Molecular Neuroscience (56 citations), Oncology (83 citations) and Computational Theory and Mathematics (46 citations). John Doran has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul Taslimi, Marc Jacobs, Koto Hayakawa, Mark Fleming, Lora Swenson, Steven F. Bellon, Paul Carey, Ted Fox, Douglas W. Griffith and Edmund Ziomek. Their work appears in journals such as Biochemistry, Journal of Pharmaceutical Sciences, Bioorganic & Medicinal Chemistry Letters, European Journal of Biochemistry and Journal of Biological Chemistry.

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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