Taco R. Werkman
-
- Neuroscience and Neuropharmacology Research 22
- Neurotransmitter Receptor Influence on Behavior 11
- Neurobiology and Insect Physiology Research 4
- Neuropeptides and Animal Physiology 4
- Behavioral Neuroscience top 5%
- Pharmacology top 5%
- Cannabis and Cannabinoid Research 6
- Endocrine and Autonomic Systems top 10%
-
- Ion channel regulation and function 11
- Receptor Mechanisms and Signaling 8
- Nicotinic Acetylcholine Receptors Study 4
- Co-authors
- Wytse J. WadmanChris G. KruseMarian JoëlsFemke S. den BoonMichael A. RogawskiAndrew C. McCrearyGuangchun SunPascal Chameau
- Journals
- Neuroscience (4 papers)European Journal of Pharmacology (3 papers)Neuropharmacology (3 papers)
- Partner nations
- NetherlandsUnited StatesItaly
In The Last Decade
Taco R. Werkman
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 633
- Behavioral Neuroscience 118
- Pharmacology 248
- Biological Psychiatry 29
- Endocrine and Autonomic Systems 57
Countries citing papers authored by Taco R. Werkman
This map shows the geographic impact of Taco R. Werkman'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 Taco R. Werkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taco R. Werkman more than expected).
Fields of papers citing papers by Taco R. Werkman
This network shows the impact of papers produced by Taco R. Werkman. 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 Taco R. Werkman. The network helps show where Taco R. Werkman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taco R. Werkman, 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 | 2019 | 4 | |
| 3 | 2017 | 5 | |
| 4 | 2014 | 29 | |
| 5 | 2011 | 11 | |
| 6 | 2010 | 6 | |
| 7 | 2006 | 33 | |
| 8 | 2005 | 31 | |
| 9 | 2004 | 7 | |
| 10 | 2003 | 28 | |
| 11 | 2001 | 31 | |
| 12 | 1999 | 38 | |
| 13 | Corticosteroid actions on ionic conductances in acutely dissociated rat hippocampal neurons | 1995 | 1 |
| 14 | 1994 | 9 | |
| 15 | 1993 | 57 | |
| 16 | 1992 | 35 | |
| 17 | 1990 | 11 | |
| 18 | 1987 | 20 | |
| 19 | 1986 | 24 | |
| 20 | 1984 | 30 |
About Taco R. Werkman
Taco R. Werkman is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Pharmacology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (22 papers), Ion channel regulation and function (11 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (8 papers), Cannabis and Cannabinoid Research (6 papers), Neurobiology and Insect Physiology Research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (633 citations), Behavioral Neuroscience (118 citations) and Pharmacology (248 citations). Taco R. Werkman has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Wytse J. Wadman, Chris G. Kruse, Marian Joëls, Femke S. den Boon, Michael A. Rogawski, Andrew C. McCreary, Guangchun Sun, Pascal Chameau, James Eberwine and Suresh Nair. Their work appears in journals such as Neuroscience, European Journal of Pharmacology, Neuropharmacology, Brain Research and Journal of 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.