Ben O’Shaughnessy
Impact in
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Modeling and Simulation top 1%
Papers in
- Cell Biology 36
- Cellular Mechanics and Interactions 19
- Cellular transport and secretion 16
- Microtubule and mitosis dynamics 10
- Co-authors
- Itamar ProcacciaDimitrios VavylonisThomas D. PollardBarry FriedmanJaeup U. KimErdem KaratekinMatthew R. StachowiakQingbo Yang
- Journals
- Biophysical Journal (16 papers)Macromolecules (15 papers)Physical Review Letters (15 papers)Optics Express (6 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesFranceIreland
In The Last Decade
Ben O’Shaughnessy
111 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 147
- Cell Biology 1.3k
- Modeling and Simulation 275
- Surfaces, Coatings and Films 311
- Condensed Matter Physics 460
- Biophysics 193
Countries citing papers authored by Ben O’Shaughnessy
This map shows the geographic impact of Ben O’Shaughnessy'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 Ben O’Shaughnessy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben O’Shaughnessy more than expected).
Fields of papers citing papers by Ben O’Shaughnessy
This network shows the impact of papers produced by Ben O’Shaughnessy. 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 Ben O’Shaughnessy. The network helps show where Ben O’Shaughnessy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ben O’Shaughnessy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 32 | |
| 6 | 2017 | 14 | |
| 7 | 2016 | 57 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 145 | |
| 10 | 2014 | 2 | |
| 11 | 2014 | 95 | |
| 12 | 2013 | 50 | |
| 13 | 2010 | 117 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 27 | |
| 17 | 2007 | 283 | |
| 18 | 2005 | 91 | |
| 19 | 2002 | 114 | |
| 20 | 1985 | 280 |
About Ben O’Shaughnessy
Ben O’Shaughnessy is a scholar working on Cell Biology, Physical and Theoretical Chemistry, Surfaces, Coatings and Films, Condensed Matter Physics and Fluid Flow and Transfer Processes, having authored 115 papers that have together received 4.3k indexed citations. Recurring topics across this work include Material Dynamics and Properties (22 papers), Lipid Membrane Structure and Behavior (22 papers), Cellular Mechanics and Interactions (19 papers), Cellular transport and secretion (16 papers), Theoretical and Computational Physics (15 papers), Force Microscopy Techniques and Applications (11 papers), Microtubule and mitosis dynamics (10 papers) and Surfactants and Colloidal Systems (8 papers). The work is most often cited by research in Cell Biology (1.3k citations), Modeling and Simulation (275 citations), Surfaces, Coatings and Films (311 citations), Condensed Matter Physics (460 citations) and Biophysics (193 citations). Ben O’Shaughnessy has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Itamar Procaccia, Dimitrios Vavylonis, Thomas D. Pollard, Barry Friedman, Jaeup U. Kim, Erdem Karatekin, Matthew R. Stachowiak, Qingbo Yang, Steven Hao and Jian‐Qiu Wu. Their work appears in journals such as Biophysical Journal, Macromolecules, Physical Review Letters, Optics Express 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.