David Oriola
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
Papers in
-
- Microtubule and mitosis dynamics 6
- Cellular Mechanics and Interactions 5
-
- Single-cell and spatial transcriptomics 2
- Co-authors
- Jan Brugués (5 shared papers)Jaume Casademunt (6 shared papers)Daniel Needleman (1 shared paper)Frank Jülicher (2 shared papers)Nicola Gritti (3 shared papers)Vikas Trivedi (4 shared papers)Marileen Dogterom (1 shared paper)Ricard Alert (1 shared paper)
- Journals
- eLife (2 papers)Physical Review Letters (2 papers)Europhysics Letters (EPL) (1 paper)iScience (1 paper)Annual Review of Biophysics (1 paper)
- Partner nations
- SpainGermanyUnited States
In The Last Decade
David Oriola
14 papers receiving 263 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 178
- Condensed Matter Physics 69
- Aging 5
- Structural Biology 4
- Molecular Biology 125
Countries citing papers authored by David Oriola
This map shows the geographic impact of David Oriola'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 Oriola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Oriola more than expected).
Fields of papers citing papers by David Oriola
This network shows the impact of papers produced by David Oriola. 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 Oriola. The network helps show where David Oriola may publish in the future.
Co-authors
The 24 scholars most cited alongside David Oriola, 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 | 2018 | 58 | |
| 2 | 2018 | 45 | |
| 3 | 2020 | 25 | |
| 4 | 2013 | 21 | |
| 5 | 2015 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 |
About David Oriola
David Oriola is a scholar working on Cell Biology, Molecular Biology, Condensed Matter Physics, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 16 papers that have together received 263 indexed citations. Recurring topics across this work include Micro and Nano Robotics (7 papers), Microtubule and mitosis dynamics (6 papers), Cellular Mechanics and Interactions (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), stochastic dynamics and bifurcation (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), 3D Printing in Biomedical Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cell Biology (178 citations), Condensed Matter Physics (69 citations), Aging (5 citations), Structural Biology (4 citations) and Molecular Biology (125 citations). David Oriola has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Jan Brugués, Jaume Casademunt, Daniel Needleman, Frank Jülicher, Nicola Gritti, Vikas Trivedi, Marileen Dogterom, Ricard Alert, Kerim Anlaş and James Sharpe. Their work appears in journals such as eLife, Physical Review Letters, Europhysics Letters (EPL), iScience and Annual Review of Biophysics.
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.