Ronald D. Vale
Impact in
- Cell Biology top 0.01%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Structural Biology top 0.1%
Papers in
- Cell Biology 167
- Microtubule and mitosis dynamics 153
- Cellular transport and secretion 57
- Cellular Mechanics and Interactions 37
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- Photosynthetic Processes and Mechanisms 47
- Protist diversity and phylogeny 32
- RNA Research and Splicing 18
- Co-authors
- Nico Stuurman (25 shared papers)Michael P. Sheetz (10 shared papers)Thomas S. Reese (7 shared papers)Ronald A. Milligan (7 shared papers)Gohta Goshima (12 shared papers)Adam D. Douglass (8 shared papers)Michio Tomishige (8 shared papers)Arthur Edelstein (2 shared papers)
- Journals
- The Journal of Cell Biology (43 papers)Cell (31 papers)Proceedings of the National Academy of Sciences (24 papers)Science (15 papers)Nature (14 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Ronald D. Vale
259 papers receiving 42.0k citations
Ronald D. Vale's Hit Papers
Peers
Comparison fields: 5 of 194
- Cell Biology 23.0k
- Structural Biology 870
- Aging 821
- Biophysics 2.4k
- Molecular Biology 26.9k
Countries citing papers authored by Ronald D. Vale
This map shows the geographic impact of Ronald D. Vale'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 Ronald D. Vale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald D. Vale more than expected).
Fields of papers citing papers by Ronald D. Vale
This network shows the impact of papers produced by Ronald D. Vale. 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 Ronald D. Vale. The network helps show where Ronald D. Vale may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronald D. Vale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of a novel force-generating protein, kinesin, involved in microtubule-based motility Hit paper breakdown → | 1985 | 1581 |
| 2 | The Molecular Motor Toolbox for Intracellular Transport Hit paper breakdown → | 2003 | 1491 |
| 3 | Computer Control of Microscopes Using µManager Hit paper breakdown → | 2010 | 1289 |
| 4 | Advanced methods of microscope control using μManager software Hit paper breakdown → | 2014 | 1278 |
| 5 | T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibition Hit paper breakdown → | 2017 | 1211 |
| 6 | A Protein-Tagging System for Signal Amplification in Gene Expression and Fluorescence Imaging Hit paper breakdown → | 2014 | 1158 |
| 7 | The Way Things Move: Looking Under the Hood of Molecular Motor Proteins Hit paper breakdown → | 2000 | 1143 |
| 8 | Phase separation of signaling molecules promotes T cell receptor signal transduction Hit paper breakdown → | 2016 | 928 |
| 9 | Circularization of mRNA by Eukaryotic Translation Initiation Factors Hit paper breakdown → | 1998 | 749 |
| 10 | Kinesin Walks Hand-Over-Hand Hit paper breakdown → | 2003 | 735 |
| 11 | Movement of microtubules by single kinesin molecules Hit paper breakdown → | 1989 | 715 |
| 12 | A structural change in the kinesin motor protein that drives motility Hit paper breakdown → | 1999 | 649 |
| 13 | RNA phase transitions in repeat expansion disorders Hit paper breakdown → | 2017 | 647 |
| 14 | Functional genomic screen reveals genes involved in lipid-droplet formation and utilization Hit paper breakdown → | 2008 | 616 |
| 15 | Single-Molecule Microscopy Reveals Plasma Membrane Microdomains Created by Protein-Protein Networks that Exclude or Trap Signaling Molecules in T Cells Hit paper breakdown → | 2005 | 610 |
| 16 | Direct observation of single kinesin molecules moving along microtubules Hit paper breakdown → | 1996 | 561 |
| 17 | Crystal structure of the kinesin motor domain reveals a structural similarity to myosin Hit paper breakdown → | 1996 | 523 |
| 18 | 2006 | 489 | |
| 19 | 2009 | 473 | |
| 20 | The cytoplasmic dynein transport machinery and its many cargoes Hit paper breakdown → | 2018 | 454 |
About Ronald D. Vale
Ronald D. Vale is a scholar working on Cell Biology, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Biophysics, having authored 261 papers that have together received 42.6k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (153 papers), Cellular transport and secretion (57 papers), Photosynthetic Processes and Mechanisms (47 papers), Cellular Mechanics and Interactions (37 papers), Protist diversity and phylogeny (32 papers), Cardiomyopathy and Myosin Studies (21 papers), RNA Research and Splicing (18 papers) and Immune Cell Function and Interaction (18 papers). The work is most often cited by research in Cell Biology (23.0k citations), Structural Biology (870 citations), Aging (821 citations), Biophysics (2.4k citations) and Molecular Biology (26.9k citations). Ronald D. Vale has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Nico Stuurman, Michael P. Sheetz, Thomas S. Reese, Ronald A. Milligan, Gohta Goshima, Adam D. Douglass, Michio Tomishige, Arthur Edelstein, Nenad Amodaj and Marvin E. Tanenbaum. Their work appears in journals such as The Journal of Cell Biology, Cell, Proceedings of the National Academy of Sciences, Science and Nature.
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.