Werner Neidhart
- Molecular Biology top 10%
- Physiology top 2%
- Computational Theory and Mathematics top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Organic Chemistry top 10%
- Co-authors
- Gisbert SchneiderThomas GillerGerard M. SchmidVolker BreuMartine ClozelKaspar F. BurriGeorges HirthGillian A. Gray
- Topics
- Chemical Synthesis and Analysis (9 papers)Computational Drug Discovery Methods (9 papers)Receptor Mechanisms and Signaling (8 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Werner Neidhart
30 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 943
- Physiology 887
- Computational Theory and Mathematics 600
- Cardiology and Cardiovascular Medicine 588
- Organic Chemistry 274
Countries citing papers authored by Werner Neidhart
This map shows the geographic impact of Werner Neidhart'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 Werner Neidhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Neidhart more than expected).
Fields of papers citing papers by Werner Neidhart
This network shows the impact of papers produced by Werner Neidhart. 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 Werner Neidhart. The network helps show where Werner Neidhart may publish in the future.
Co-authorship network of co-authors of Werner Neidhart
This figure shows the co-authorship network connecting the top 25 collaborators of Werner Neidhart. A scholar is included among the top collaborators of Werner Neidhart 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 Werner Neidhart. Werner Neidhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 19 | |
| 3 | 80 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 53 | |
| 13 | 3 | |
| 14 | 46 | |
| 15 | 12 | |
| 16 | 86 | |
| 17 | 31 | |
| 18 | Pharmacological characterization of bosentan, a new potent orally active nonpeptide endothelin receptor antagonist.breakdown → | 590 |
| 19 | 426 | |
| 20 | 82 |
About Werner Neidhart
Werner Neidhart is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (9 papers), Computational Drug Discovery Methods (9 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Computational Theory and Mathematics (600 citations), Physiology (887 citations) and Cardiology and Cardiovascular Medicine (588 citations). Werner Neidhart has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Gisbert Schneider, Thomas Giller, Gerard M. Schmid, Volker Breu, Martine Clozel, Kaspar F. Burri, Georges Hirth, Gillian A. Gray, Jean‐Marie Cassal and Henri Ramuz. Their work appears in journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.