Thierry Doll
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 4
- Ubiquitin and proteasome pathways 3
- CRISPR and Genetic Engineering 3
- Muscle Physiology and Disorders 2
- RNA Interference and Gene Delivery 2
-
- Microtubule and mitosis dynamics 7
- Cellular Mechanics and Interactions 4
- Co-authors
- Andrew Matus (9 shared papers)Stefanie Kaech (2 shared papers)Maria Fischer (1 shared paper)Jacqueline Ferralli (2 shared papers)Craig C. Garner (1 shared paper)Richard P. Tucker (1 shared paper)Paul Honegger (1 shared paper)Beat M. Riederer (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Journal of Neuroscience (2 papers)PLoS ONE (2 papers)Gene (1 paper)Neuroscience (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Thierry Doll
17 papers receiving 861 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 396
- Developmental Neuroscience 91
- Cellular and Molecular Neuroscience 218
- Biophysics 49
- Molecular Biology 516
Countries citing papers authored by Thierry Doll
This map shows the geographic impact of Thierry Doll'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 Thierry Doll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Doll more than expected).
Fields of papers citing papers by Thierry Doll
This network shows the impact of papers produced by Thierry Doll. 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 Thierry Doll. The network helps show where Thierry Doll may publish in the future.
Co-authors
The 25 scholars most cited alongside Thierry Doll, 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 | 1997 | 132 | |
| 2 | 1989 | 110 | |
| 3 | 1992 | 94 | |
| 4 | 2012 | 80 | |
| 5 | 1993 | 76 | |
| 6 | 1996 | 61 | |
| 7 | 1994 | 60 | |
| 8 | 2012 | 51 | |
| 9 | 2004 | 50 | |
| 10 | 1996 | 34 | |
| 11 | 1993 | 33 | |
| 12 | 2018 | 28 | |
| 13 | 1990 | 26 | |
| 14 | 2022 | 16 | |
| 15 | 2015 | 14 | |
| 16 | 2014 | 7 | |
| 17 | 2024 | 2 |
About Thierry Doll
Thierry Doll is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Pathology and Forensic Medicine, having authored 17 papers that have together received 874 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Pluripotent Stem Cells Research (4 papers), Cellular Mechanics and Interactions (4 papers), Ubiquitin and proteasome pathways (3 papers), CRISPR and Genetic Engineering (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Muscle Physiology and Disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cell Biology (396 citations), Developmental Neuroscience (91 citations), Cellular and Molecular Neuroscience (218 citations), Biophysics (49 citations) and Molecular Biology (516 citations). Thierry Doll has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Andrew Matus, Stefanie Kaech, Maria Fischer, Jacqueline Ferralli, Craig C. Garner, Richard P. Tucker, Paul Honegger, Beat M. Riederer, Ruedi Meili and Beat Ludin. Their work appears in journals such as Journal of Cell Science, Journal of Neuroscience, PLoS ONE, Gene and Neuroscience.
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.