Marc Teunis
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Biomedical Text Mining and Ontologies 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Annemieke Kavelaars (5 shared papers)Cobi J. Heijnen (5 shared papers)Cyrille Krul (7 shared papers)Alexander R. Cools (3 shared papers)Bart van der Burg (1 shared paper)Sander C. van der Linden (1 shared paper)Anne R. M. von Bergh (1 shared paper)Joost M. Bakker (2 shared papers)
- Journals
- ALTEX (4 papers)Toxicology in Vitro (3 papers)Journal of Neuroimmunology (2 papers)The FASEB Journal (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Marc Teunis
26 papers receiving 472 citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 45
- Behavioral Neuroscience 52
- Developmental Neuroscience 24
- Chemical Health and Safety 4
- Dermatology 46
Countries citing papers authored by Marc Teunis
This map shows the geographic impact of Marc Teunis'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 Marc Teunis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Teunis more than expected).
Fields of papers citing papers by Marc Teunis
This network shows the impact of papers produced by Marc Teunis. 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 Marc Teunis. The network helps show where Marc Teunis may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Teunis, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 98 | |
| 2 | 2002 | 61 | |
| 3 | 2005 | 49 | |
| 4 | 1997 | 40 | |
| 5 | 2002 | 38 | |
| 6 | 2012 | 36 | |
| 7 | 2003 | 21 | |
| 8 | 2014 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2004 | 9 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Marc Teunis
Marc Teunis is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Immunology and Allergy and Immunology, having authored 29 papers that have together received 486 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Allergic Rhinitis and Sensitization (3 papers), Risk and Safety Analysis (2 papers), Immune Cell Function and Interaction (2 papers), Contact Dermatitis and Allergies (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Chemical Safety and Risk Management (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Behavioral Neuroscience (52 citations), Developmental Neuroscience (24 citations), Chemical Health and Safety (4 citations) and Dermatology (46 citations). Marc Teunis has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Annemieke Kavelaars, Cobi J. Heijnen, Cyrille Krul, Alexander R. Cools, Bart van der Burg, Sander C. van der Linden, Anne R. M. von Bergh, Joost M. Bakker, Pieter M. Cobelens and Joost Verhaagen. Their work appears in journals such as ALTEX, Toxicology in Vitro, Journal of Neuroimmunology, The FASEB Journal and Journal of Biomedical Informatics.
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.