Diane Calinski

3.9k total citations · 2 hit papers
16 papers, 3.0k citations indexed

About

Diane Calinski is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Diane Calinski has authored 16 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Diane Calinski's work include Pharmacogenetics and Drug Metabolism (6 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Diane Calinski is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Diane Calinski collaborates with scholars based in United States, Denmark and Belgium. Diane Calinski's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Diane Calinski

16 papers receiving 3.0k citations

Hit Papers

Crystal structure of the β2 adrenergic receptor–Gs protei... 2011 2026 2016 2021 2011 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diane Calinski United States 10 2.7k 1.5k 456 270 250 16 3.0k
Matthieu Masureel United States 18 2.6k 1.0× 1.4k 0.9× 387 0.8× 374 1.4× 222 0.9× 22 3.1k
Guillaume Lebon United Kingdom 16 2.5k 0.9× 1.3k 0.9× 420 0.9× 164 0.6× 259 1.0× 25 2.9k
Hongli Hu China 18 2.2k 0.8× 1.2k 0.8× 302 0.7× 239 0.9× 168 0.7× 36 2.6k
Yaozhong Zou United States 11 3.7k 1.4× 2.1k 1.4× 606 1.3× 380 1.4× 381 1.5× 13 4.0k
Naomi R. Latorraca United States 22 3.3k 1.2× 1.7k 1.1× 429 0.9× 428 1.6× 405 1.6× 33 3.7k
Juan José Fung United States 11 2.8k 1.0× 1.6k 1.0× 606 1.3× 253 0.9× 388 1.6× 17 3.0k
Veli‐Pekka Jaakola Finland 18 2.9k 1.1× 1.4k 0.9× 435 1.0× 187 0.7× 373 1.5× 37 3.3k
Mark T. Griffith United States 11 3.3k 1.2× 1.6k 1.0× 500 1.1× 209 0.8× 359 1.4× 11 3.8k
Malcolm Weir United Kingdom 27 2.9k 1.1× 1.2k 0.8× 531 1.2× 373 1.4× 373 1.5× 42 3.7k

Countries citing papers authored by Diane Calinski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Gálvez‐Peralta, Marina, et al.. (2023). A Genetics-Focused Lens on Social Constructs in Pharmacy Education. American Journal of Pharmaceutical Education. 87(9). 100077–100077. 1 indexed citations
2.
Calinski, Diane, et al.. (2021). An interprofessional education experience to promote the role of the pharmacist in precision medicine. Currents in Pharmacy Teaching and Learning. 13(10). 1370–1375. 13 indexed citations
3.
Henriksen, Brian, et al.. (2020). Complex patient cases solved by near-peer integrated teams provides leadership, professionalism, and peer-teaching opportunities. Currents in Pharmacy Teaching and Learning. 12(12). 1477–1483. 2 indexed citations
4.
Kennedy, Daniel R. & Diane Calinski. (2018). P&T and Me. American Journal of Pharmaceutical Education. 82(8). 7048–7048. 6 indexed citations
5.
Calinski, Diane, David F. Kisor, & Jon E. Sprague. (2018). A review of the influence of functional group modifications to the core scaffold of synthetic cathinones on drug pharmacokinetics. Psychopharmacology. 236(3). 881–890. 23 indexed citations
7.
Calinski, Diane, Haoming Zhang, Susan M. Ludeman, M. Eileen Dolan, & Paul F. Hollenberg. (2015). Hydroxylation and N-Dechloroethylation of Ifosfamide and Deuterated Ifosfamide by the Human Cytochrome P450s and Their Commonly Occurring Polymorphisms. Drug Metabolism and Disposition. 43(7). 1084–1090. 17 indexed citations
8.
Bright, David R., Diane Calinski, & David F. Kisor. (2015). Pharmacogenetic Considerations in the Elderly Patient. The Consultant Pharmacist. 30(4). 228–239. 1 indexed citations
9.
Lin, Hsia-lien, et al.. (2013). The Effect of Ritonavir on Human CYP2B6 Catalytic Activity: Heme Modification Contributes to the Mechanism-Based Inactivation of CYP2B6 and CYP3A4 by Ritonavir. Drug Metabolism and Disposition. 41(10). 1813–1824. 18 indexed citations
10.
Calinski, Diane, et al.. (2013). Metabolism of Cyclophosphamide by CYP 2B6 and Associated Polymorphisms. The FASEB Journal. 27(S1). 2 indexed citations
11.
Calinski, Diane, Haoming Zhang, Chitra Sridar, & Paul F. Hollenberg. (2012). Metabolism of Cyclophosphamide by the Human Cytochrome P450 2B6 Polymorphic Variants. The FASEB Journal. 26(S1). 2 indexed citations
12.
Chung, Ka Young, Søren G. F. Rasmussen, Tong Liu, et al.. (2011). Conformational changes in the G protein Gs induced by the β2 adrenergic receptor. Nature. 477(7366). 611–615. 290 indexed citations breakdown →
13.
Rasmussen, Søren G. F., Brian T. DeVree, Yaozhong Zou, et al.. (2011). Crystal structure of the β2 adrenergic receptor–Gs protein complex. Nature. 477(7366). 549–555. 2351 indexed citations breakdown →
14.
Westfield, Gerwin, Søren G. F. Rasmussen, Min Su, et al.. (2011). Structural flexibility of the Gαs α-helical domain in the β 2 -adrenoceptor Gs complex. Proceedings of the National Academy of Sciences. 108(38). 16086–16091. 190 indexed citations
15.
Ling, Xiang, Diane Calinski, Asher Chanan‐Khan, Muxiang Zhou, & Fengzhi Li. (2010). Cancer cell sensitivity to bortezomib is associated with survivin expression and p53 status but not cancer cell types. Journal of Experimental & Clinical Cancer Research. 29(1). 8–8. 47 indexed citations
16.
Collins, Gregory T., Diane Calinski, Amy Hauck Newman, Peter Grundt, & James H. Woods. (2008). Food Restriction Alters N′-Propyl-4,5,6,7-tetrahydrobenzothiazole-2,6-diamine dihydrochloride (Pramipexole)-Induced Yawning, Hypothermia, and Locomotor Activity in Rats: Evidence for Sensitization of Dopamine D2 Receptor-Mediated Effects. Journal of Pharmacology and Experimental Therapeutics. 325(2). 691–697. 45 indexed citations

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.

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