David Oriola

527 citations
16 papers · 278 · h-index 10

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Micro and Nano Robotics

Papers in

David Oriola

15 papers receiving 278 citations

Peers

David Oriola
Comparison fields: 5 of 56
  • Cell Biology 186
  • Condensed Matter Physics 70
  • Aging 5
  • Structural Biology 4
  • Molecular Biology 133
Replace Rupam Jha with:
Rupam Jha United Kingdom
Mohammed Mahamdeh United States
Ana Lisica United Kingdom
Arthur R. Rogers United States
Andrea Jiménez-Dalmaroni Germany
D. Kenneth Jamison United States
Shafali Gupta Australia
Karin Anderson United States
Taviare L. Hawkins United States
Göker Arpağ United States
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Citations per field
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Citations per year

Countries citing papers authored by David Oriola

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with David Oriola Line = papers co-authored together David Oriola links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201860
2 201847
3 202026
4 201322
5 201520
6 202219
7 201717
8 202215
9 202015
10 201912
11 20228
12 20246
13 20145
14 20145
15 20231
16 20240

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 278 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 Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cell Biology (186 citations), Condensed Matter Physics (70 citations), Aging (5 citations), Structural Biology (4 citations) and Molecular Biology (133 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, Vikas Trivedi, Nicola Gritti, Ricard Alert, Marileen Dogterom, Sophie Roth and James Sharpe. Their work appears in journals such as eLife, Physical Review Letters, Nature Communications, Developmental Biology and Europhysics Letters (EPL).

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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