Carmen Villmann
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Neurology top 2%
- Biomedical Engineering
- Physiology
- Co-authors
- Cord‐Michael BeckerMichael HollmannNatascha SchaeferClaudia SommerKathrin DopplerLuise AppeltshauserHans‐Georg BreitingerAndrea Buettner
- Topics
- Neuroscience and Neuropharmacology Research (41 papers)Ion channel regulation and function (31 papers)Nicotinic Acetylcholine Receptors Study (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Carmen Villmann
101 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 937
- Neurology 612
- Biomedical Engineering 175
- Physiology 162
Countries citing papers authored by Carmen Villmann
This map shows the geographic impact of Carmen Villmann'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 Carmen Villmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Villmann more than expected).
Fields of papers citing papers by Carmen Villmann
This network shows the impact of papers produced by Carmen Villmann. 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 Carmen Villmann. The network helps show where Carmen Villmann may publish in the future.
Co-authorship network of co-authors of Carmen Villmann
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Villmann. A scholar is included among the top collaborators of Carmen Villmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carmen Villmann. Carmen Villmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 20 | |
| 11 | 33 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 56 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | The influence of proline residues within the TM3-4 loop of the human glycine receptor on channel functionality | 1 |
| 19 | Myelin proteolipid protein as a new target for the detection of central nervous tissues in food | 1 |
| 20 | 100 |
About Carmen Villmann
Carmen Villmann is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology, having authored 106 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (41 papers), Ion channel regulation and function (31 papers) and Nicotinic Acetylcholine Receptors Study (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Neurology (612 citations) and Developmental Neuroscience (117 citations). Carmen Villmann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Cord‐Michael Becker, Michael Hollmann, Natascha Schaefer, Claudia Sommer, Kathrin Doppler, Luise Appeltshauser, Hans‐Georg Breitinger, Andrea Buettner, Andreas Weishaupt and Monika Pischetsrieder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.