Ryan Bradley

524 citations
18 papers · 382 · h-index 12

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Nanoparticle-Based Drug Delivery

Papers in

    • Lipid Membrane Structure and Behavior 9
    • Protein Structure and Dynamics 3
    • Cellular transport and secretion 6
    • Microtubule and mitosis dynamics 2

Ryan Bradley

17 papers receiving 381 citations

Peers

Ryan Bradley
Comparison fields: 5 of 71
  • Cell Biology 141
  • Biomaterials 51
  • Molecular Biology 243
  • Biophysics 17
  • Surfaces, Coatings and Films 16
Replace Coline Prévost with:
Coline Prévost France
Zachary T. Graber United States
Lap Man Lee United States
Nada Khalifat France
Haosheng Cui United States
Andrés Manuel Vera Spain
Andrea M. Dickey United States
Meng Pan China
Andrew S. LaCroix United States
Patrick M. McCall United States
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Citations per field
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Citations per year

Countries citing papers authored by Ryan Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201378
2 201351
3 201633
4 201830
5 201330
6 201126
7 201923
8 202421
9 202020
10 201419
11 202016
12 201913
13 20208
14 20236
15 20246
16 20191
17
Molecular Simulations of Protein-Induced Membrane Remodeling
20161
18 20230

About Ryan Bradley

Ryan Bradley is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics and Surfaces, Coatings and Films, having authored 18 papers that have together received 382 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Cellular transport and secretion (6 papers), Polymer Surface Interaction Studies (3 papers), Force Microscopy Techniques and Applications (3 papers), Protein Structure and Dynamics (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Microtubule and mitosis dynamics (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Cell Biology (141 citations), Biomaterials (51 citations), Molecular Biology (243 citations), Biophysics (17 citations) and Surfaces, Coatings and Films (16 citations). Ryan Bradley has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Ravi Radhakrishnan, Paul A. Janmey, Richard W. Tourdot, Ramakrishnan Natesan, David R. Slochower, Changsong Yang, Tatyana Svitkina, David M. Eckmann, Yuting Zhao and Tobias Baumgart. Their work appears in journals such as Soft Matter, Developmental Cell, Journal of Physics Condensed Matter, JACC. Clinical electrophysiology and Proceedings of the National Academy of Sciences.

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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