Wolfgang Sadée
- Molecular Biology top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Oncology top 0.5%
- Pharmacology top 0.05%
- Physiology top 1%
- Co-authors
- Daqing WangAudrey C. PappYing HuangZunyan DaiJelveh LamehJulia K. PinsonneaultAndrew D. JohnsonVictor C. Yu
- Topics
- Receptor Mechanisms and Signaling (109 papers)Neuropeptides and Animal Physiology (81 papers)Pharmacological Receptor Mechanisms and Effects (42 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Wolfgang Sadée
366 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 8.7k
- Cellular and Molecular Neuroscience 4.4k
- Oncology 3.0k
- Pharmacology 2.1k
- Physiology 1.6k
Countries citing papers authored by Wolfgang Sadée
This map shows the geographic impact of Wolfgang Sadée'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 Wolfgang Sadée with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Sadée more than expected).
Fields of papers citing papers by Wolfgang Sadée
This network shows the impact of papers produced by Wolfgang Sadée. 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 Wolfgang Sadée. The network helps show where Wolfgang Sadée may publish in the future.
Co-authorship network of co-authors of Wolfgang Sadée
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Sadée. A scholar is included among the top collaborators of Wolfgang Sadée 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 Wolfgang Sadée. Wolfgang Sadée is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pharmacogenomics: Driving Personalized Medicinebreakdown → | 86 |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 28 | |
| 8 | 23 | |
| 9 | 54 | |
| 10 | 86 | |
| 11 | 294 | |
| 12 | 333 | |
| 13 | 194 | |
| 14 | 231 | |
| 15 | Strategies and Methods for Research on Sex Differences in Brain and Behaviorbreakdown → | 648 |
| 16 | Drug level monitoring | 17 |
| 17 | 45 | |
| 18 | Hydroxylated metabolies of R,S-1-(tetrahydro-2-furanyl)-5-fluorouracil (Ftorafur) in rats and rabbits. | 41 |
| 19 | 43 | |
| 20 | [Spectrophotometric determination of 5-phenyl-1,4-benzodiazepine-derivatives and studies on metabolism of nitrazepam. 5. Chemistry and analytics of benzodiazepine-derivatives]. | 11 |
About Wolfgang Sadée
Wolfgang Sadée is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Biochemistry, having authored 371 papers that have together received 17.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (109 papers), Neuropeptides and Animal Physiology (81 papers) and Pharmacological Receptor Mechanisms and Effects (42 papers). The work is most often cited by research in Pharmacology (2.1k citations), Cellular and Molecular Neuroscience (4.4k citations) and Transplantation (562 citations). Wolfgang Sadée has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Daqing Wang, Audrey C. Papp, Ying Huang, Zunyan Dai, Jelveh Lameh, Julia K. Pinsonneault, Andrew D. Johnson, Victor C. Yu, Edward J. Bilsky and Zaijie Wang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and JAMA.
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.