W Lorenz
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Animal Science and Zoology top 5%
- Co-authors
- Jon W. LomasneyMarc G. CaronSusanna CotecchiaDebra A. SchwinnRobert J. LefkowitzT L Yang-FengR.J. LefkowitzM G Caron
- Topics
- Receptor Mechanisms and Signaling (7 papers)Neuropeptides and Animal Physiology (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
W Lorenz
11 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 816
- Physiology 307
- Endocrinology, Diabetes and Metabolism 167
- Animal Science and Zoology 146
Countries citing papers authored by W Lorenz
This map shows the geographic impact of W Lorenz'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 W Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Lorenz more than expected).
Fields of papers citing papers by W Lorenz
This network shows the impact of papers produced by W Lorenz. 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 W Lorenz. The network helps show where W Lorenz may publish in the future.
Co-authorship network of co-authors of W Lorenz
This figure shows the co-authorship network connecting the top 25 collaborators of W Lorenz. A scholar is included among the top collaborators of W Lorenz 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 W Lorenz. W Lorenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 161 | |
| 2 | The alpha 1C-adrenergic receptor: characterization of signal transduction pathways and mammalian tissue heterogeneity. | 125 |
| 3 | 361 | |
| 4 | 151 | |
| 5 | The alpha 1C-adrenergic receptor: a new member in the alpha 1-adrenergic receptor family. | 4 |
| 6 | 370 | |
| 7 | 239 | |
| 8 | 117 | |
| 9 | 77 | |
| 10 | 27 | |
| 11 | 55 |
About W Lorenz
W Lorenz is a scholar working on Animal Science and Zoology, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (816 citations), Molecular Biology (1.3k citations) and Urology (102 citations). W Lorenz has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Jon W. Lomasney, Marc G. Caron, Susanna Cotecchia, Debra A. Schwinn, Robert J. Lefkowitz, T L Yang-Feng, R.J. Lefkowitz, M G Caron, James Inglese and John W. Regan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.