Jean‐Marc Taymans
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 49
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 49
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- Neuroscience and Neuropharmacology Research 5
- Cell Biology top 2%
- Cellular transport and secretion 15
- Molecular Biology top 5%
- Plant Gene Expression Analysis 11
- Fungal and yeast genetics research 11
- Protein Kinase Regulation and GTPase Signaling 7
- Plant biochemistry and biosynthesis 5
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- Alzheimer's disease research and treatments 7
- Co-authors
- Veerle BaekelandtEvy LobbestaelMark CooksonElisa GreggioChris Van den HauteAlexandra BeilinaRenée VancraenenbroeckMarie‐Christine Chartier‐Harlin
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Neuroscience (2 papers)PLoS ONE (4 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Jean‐Marc Taymans
63 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 102
- Neurology 2.0k
- Neurology 438
- Cellular and Molecular Neuroscience 850
- Cell Biology 623
- Molecular Biology 1.9k
Countries citing papers authored by Jean‐Marc Taymans
This map shows the geographic impact of Jean‐Marc Taymans'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 Jean‐Marc Taymans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Taymans more than expected).
Fields of papers citing papers by Jean‐Marc Taymans
This network shows the impact of papers produced by Jean‐Marc Taymans. 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 Jean‐Marc Taymans. The network helps show where Jean‐Marc Taymans may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Marc Taymans, 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 | 2024 | 7 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 56 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 7 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 7 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 64 | |
| 11 | 2014 | 2 | |
| 12 | 2014 | 34 | |
| 13 | 2012 | 20 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 81 | |
| 16 | 2010 | 80 | |
| 17 | 2010 | 60 | |
| 18 | 2005 | 3 | |
| 19 | 2004 | 59 | |
| 20 | 2002 | 29 |
About Jean‐Marc Taymans
Jean‐Marc Taymans is a scholar working on Neurology, Cell Biology and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (49 papers), Cellular transport and secretion (15 papers), Plant Gene Expression Analysis (11 papers), Fungal and yeast genetics research (11 papers), Alzheimer's disease research and treatments (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Plant biochemistry and biosynthesis (5 papers). The work is most often cited by research in Neurology (2.0k citations), Neurology (438 citations) and Cellular and Molecular Neuroscience (850 citations). Jean‐Marc Taymans has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Veerle Baekelandt, Evy Lobbestael, Mark Cookson, Elisa Greggio, Chris Van den Haute, Alexandra Beilina, Renée Vancraenenbroeck, Marie‐Christine Chartier‐Harlin, Veronique Daniëls and Josée E. Leysen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.