Felix Waldmeier
- Molecular Biology
- Oncology top 10%
- Hematology top 5%
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Michael SeiberlingHans-Peter GschwindGerhard GroßGérard FleschMarkus ZollingerGerard BruinUlrike GlaenzelUlrike Pfaar
- Topics
- DNA and Nucleic Acid Chemistry (6 papers)Pharmacogenetics and Drug Metabolism (4 papers)Advanced biosensing and bioanalysis techniques (4 papers)
- Cited by
- HematologyGeneticsPharmacology
- Journals
- Journal of Chromatography AClinical Pharmacology & TherapeuticsDrug Metabolism and Disposition
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Felix Waldmeier
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 264
- Oncology 262
- Hematology 228
- Genetics 201
- Cardiology and Cardiovascular Medicine 182
Countries citing papers authored by Felix Waldmeier
This map shows the geographic impact of Felix Waldmeier'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 Felix Waldmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Waldmeier more than expected).
Fields of papers citing papers by Felix Waldmeier
This network shows the impact of papers produced by Felix Waldmeier. 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 Felix Waldmeier. The network helps show where Felix Waldmeier may publish in the future.
Co-authorship network of co-authors of Felix Waldmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Waldmeier. A scholar is included among the top collaborators of Felix Waldmeier 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 Felix Waldmeier. Felix Waldmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 76 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 70 | |
| 7 | 18 | |
| 8 | 104 | |
| 9 | 11 | |
| 10 | 25 | |
| 11 | 60 | |
| 12 | 186 | |
| 13 | 136 | |
| 14 | 21 | |
| 15 | 77 | |
| 16 | 118 | |
| 17 | 26 | |
| 18 | Disposition of [14C]-benazepril hydrochloride in rat, dog and baboon. Absorption, distribution, kinetics, biotransformation and excretion. | 27 |
| 19 | 9 | |
| 20 | 10 |
About Felix Waldmeier
Felix Waldmeier is a scholar working on Pharmacology, Toxicology and Genetics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (6 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Hematology (228 citations), Genetics (201 citations) and Pharmacology (107 citations). Felix Waldmeier has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Michael Seiberling, Hans-Peter Gschwind, Gerhard Groß, Gérard Flesch, Markus Zollinger, Gerard Bruin, Ulrike Glaenzel, Ulrike Pfaar, Peter Bühlmayer and H.‐P. KRIEMLER. Their work appears in journals such as Journal of Chromatography A, Clinical Pharmacology & Therapeutics and Drug Metabolism and Disposition.
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.