Donatienne Tyteca
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior
- Extracellular vesicles in disease
- Sphingolipid Metabolism and Signaling
Papers in
- Cell Biology 26
- Cellular transport and secretion 15
- Caveolin-1 and cellular processes 5
- Physiology 33
- Erythrocyte Function and Pathophysiology 30
- Co-authors
- Pierre J. CourtoyHélène PolletLouise ConrardPatrick Van Deŕ SmissenLudovic D’AuriaMarie‐Paule Mingeot‐LeclercqDick HoekstraSven C.D. van IJzendoorn
- Journals
- Experimental Cell Research (5 papers)Frontiers in Physiology (5 papers)Biomolecules (4 papers)Biochemical Journal (4 papers)Scientific Reports (3 papers)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Donatienne Tyteca
78 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Cell Biology 503
- Molecular Biology 1.6k
- Physiology 541
- Cancer Research 221
- Physiology 65
Countries citing papers authored by Donatienne Tyteca
This map shows the geographic impact of Donatienne Tyteca'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 Donatienne Tyteca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donatienne Tyteca more than expected).
Fields of papers citing papers by Donatienne Tyteca
This network shows the impact of papers produced by Donatienne Tyteca. 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 Donatienne Tyteca. The network helps show where Donatienne Tyteca may publish in the future.
Co-authors
The 25 scholars most cited alongside Donatienne Tyteca, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 31 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 45 | |
| 13 | 2018 | 22 | |
| 14 | 原形質膜における脂質側方不均一性に関する最近の進歩:からラフトサブミクロン領域へ【Powered by NICT】 | 2016 | 1 |
| 15 | 2014 | 12 | |
| 16 | 2014 | 74 | |
| 17 | 2011 | 87 | |
| 18 | 2010 | 266 | |
| 19 | 2007 | 59 | |
| 20 | 2002 | 66 |
About Donatienne Tyteca
Donatienne Tyteca is a scholar working on Cell Biology, Physiology, Molecular Biology, Biochemistry and Pulmonary and Respiratory Medicine, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (30 papers), Lipid Membrane Structure and Behavior (23 papers), Cellular transport and secretion (15 papers), Blood properties and coagulation (11 papers), Sphingolipid Metabolism and Signaling (8 papers), Peptidase Inhibition and Analysis (6 papers), Pancreatic function and diabetes (6 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Cell Biology (503 citations), Molecular Biology (1.6k citations), Physiology (541 citations), Cancer Research (221 citations) and Physiology (65 citations). Donatienne Tyteca has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Pierre J. Courtoy, Hélène Pollet, Louise Conrard, Patrick Van Deŕ Smissen, Ludovic D’Auria, Marie‐Paule Mingeot‐Leclercq, Dick Hoekstra, Sven C.D. van IJzendoorn, Paul M. Tulkens and Emile Van Schaftingen. Their work appears in journals such as Experimental Cell Research, Frontiers in Physiology, Biomolecules, Biochemical Journal and Scientific Reports.
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.