Klaus Mohr
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Computational Theory and Mathematics top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Organic Chemistry top 5%
- Co-authors
- Christian TränkleUlrike HolzgrabeEvi KostenisMarco De AmiciRamona SchrageAndreas BöckClelia DallanoceJohn E. Ellis
- Topics
- Receptor Mechanisms and Signaling (95 papers)Neuropeptides and Animal Physiology (45 papers)Neuroscience and Neuropharmacology Research (35 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Klaus Mohr
144 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 3.0k
- Cellular and Molecular Neuroscience 1.9k
- Computational Theory and Mathematics 382
- Radiology, Nuclear Medicine and Imaging 362
- Organic Chemistry 340
Countries citing papers authored by Klaus Mohr
This map shows the geographic impact of Klaus Mohr'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 Klaus Mohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Mohr more than expected).
Fields of papers citing papers by Klaus Mohr
This network shows the impact of papers produced by Klaus Mohr. 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 Klaus Mohr. The network helps show where Klaus Mohr may publish in the future.
Co-authorship network of co-authors of Klaus Mohr
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Mohr. A scholar is included among the top collaborators of Klaus Mohr 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 Klaus Mohr. Klaus Mohr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 32 | |
| 3 | 79 | |
| 4 | 8 | |
| 5 | 103 | |
| 6 | 212 | |
| 7 | 7 | |
| 8 | 51 | |
| 9 | 35 | |
| 10 | 51 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 21 | |
| 15 | EPC-Synthese, Struktur und Pharmakologie lactonisierter und lactamisierter Acetylcholin-Analoga : Lactone. XXVIII | 1 |
| 16 | 13 | |
| 17 | 39 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 1 |
About Klaus Mohr
Klaus Mohr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy, having authored 147 papers that have together received 3.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (95 papers), Neuropeptides and Animal Physiology (45 papers) and Neuroscience and Neuropharmacology Research (35 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Molecular Biology (3.0k citations) and Computational Theory and Mathematics (382 citations). Klaus Mohr has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Christian Tränkle, Ulrike Holzgrabe, Evi Kostenis, Marco De Amici, Ramona Schrage, Andreas Böck, Clelia Dallanoce, John E. Ellis, H. Lüllmann and Elisabetta Barocelli. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.
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.