Diane Calinski
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Spectroscopy top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Søren G. F. RasmussenPil Seok ChaeKa Young ChungBrian K. KobilkaRoger K. SunaharaBrian T. DeVreeEls PardonGeorgios Skiniotis
- Topics
- Pharmacogenetics and Drug Metabolism (6 papers)Receptor Mechanisms and Signaling (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesDenmarkBelgium
In The Last Decade
Diane Calinski
16 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.7k
- Cellular and Molecular Neuroscience 1.5k
- Radiology, Nuclear Medicine and Imaging 456
- Spectroscopy 270
- Computational Theory and Mathematics 250
Countries citing papers authored by Diane Calinski
This map shows the geographic impact of Diane Calinski'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 Diane Calinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Calinski more than expected).
Fields of papers citing papers by Diane Calinski
This network shows the impact of papers produced by Diane Calinski. 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 Diane Calinski. The network helps show where Diane Calinski may publish in the future.
Co-authorship network of co-authors of Diane Calinski
This figure shows the co-authorship network connecting the top 25 collaborators of Diane Calinski. A scholar is included among the top collaborators of Diane Calinski 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 Diane Calinski. Diane Calinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | Conformational changes in the G protein Gs induced by the β2 adrenergic receptorbreakdown → | 290 |
| 13 | Crystal structure of the β2 adrenergic receptor–Gs protein complexbreakdown → | 2351 |
| 14 | 190 | |
| 15 | 47 | |
| 16 | 45 |
About Diane Calinski
Diane Calinski is a scholar working on Pharmacology, Geriatrics and Gerontology and Pharmaceutical Science, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Molecular Biology (2.7k citations) and Structural Biology (31 citations). Diane Calinski has collaborated with scholars based in United States, Denmark and Belgium. Frequent co-authors include Søren G. F. Rasmussen, Pil Seok Chae, Ka Young Chung, Brian K. Kobilka, Roger K. Sunahara, Brian T. DeVree, Els Pardon, Georgios Skiniotis, Jan Steyaert and Tong Sun Kobilka. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.