Ronald Taussig
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 5%
- Cell Biology top 2%
- Geriatrics and Gerontology top 0.5%
- Co-authors
- Alfred G. GilmanJorge A. Iñiguez‐LluhíMarian CarlsonJohn R. HeplerRichard H. SchellerGregor ZimmermannMaurine E. LinderWei‐Jen Tang
- Topics
- Receptor Mechanisms and Signaling (18 papers)Protein Kinase Regulation and GTPase Signaling (16 papers)Neurobiology and Insect Physiology Research (7 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Ronald Taussig
53 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 4.6k
- Cellular and Molecular Neuroscience 1.7k
- Physiology 761
- Cell Biology 649
- Geriatrics and Gerontology 577
Countries citing papers authored by Ronald Taussig
This map shows the geographic impact of Ronald Taussig'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 Ronald Taussig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald Taussig more than expected).
Fields of papers citing papers by Ronald Taussig
This network shows the impact of papers produced by Ronald Taussig. 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 Ronald Taussig. The network helps show where Ronald Taussig may publish in the future.
Co-authorship network of co-authors of Ronald Taussig
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald Taussig. A scholar is included among the top collaborators of Ronald Taussig 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 Ronald Taussig. Ronald Taussig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 11 | |
| 3 | Resveratrol Ameliorates Aging-Related Metabolic Phenotypes by Inhibiting cAMP Phosphodiesterasesbreakdown → | 1105 |
| 4 | 132 | |
| 5 | 268 | |
| 6 | 66 | |
| 7 | 6 | |
| 8 | 32 | |
| 9 | 20 | |
| 10 | 9 | |
| 11 | 23 | |
| 12 | 43 | |
| 13 | 20 | |
| 14 | 120 | |
| 15 | Mammalian Membrane-bound Adenylyl Cyclasesbreakdown → | 615 |
| 16 | 2 | |
| 17 | Recombinant G-protein βγ-subunits activate the muscarinic-gated atrial potassium channelbreakdown → | 382 |
| 18 | 19 | |
| 19 | 114 | |
| 20 | 105 |
About Ronald Taussig
Ronald Taussig is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 53 papers that have together received 6.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Protein Kinase Regulation and GTPase Signaling (16 papers) and Neurobiology and Insect Physiology Research (7 papers). The work is most often cited by research in Geriatrics and Gerontology (577 citations), Cellular and Molecular Neuroscience (1.7k citations) and Molecular Biology (4.6k citations). Ronald Taussig has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alfred G. Gilman, Jorge A. Iñiguez‐Lluhí, Marian Carlson, John R. Hepler, Richard H. Scheller, Gregor Zimmermann, Maurine E. Linder, Wei‐Jen Tang, Lynne M. Quarmby and Keith Baar. Their work appears in journals such as Nature, Science and Cell.
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.