Caroline Nunn

1.2k total citations
26 papers, 970 citations indexed

About

Caroline Nunn is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Caroline Nunn has authored 26 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Caroline Nunn's work include Neuroendocrine Tumor Research Advances (15 papers), Receptor Mechanisms and Signaling (15 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Caroline Nunn is often cited by papers focused on Neuroendocrine Tumor Research Advances (15 papers), Receptor Mechanisms and Signaling (15 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Caroline Nunn collaborates with scholars based in Switzerland, Canada and United States. Caroline Nunn's co-authors include Peter Chidiac, Daniël Hoyer, Anju A. Roy, Daniel Langenegger, Jason Hannon, Dominik Feuerbach, Konstanze Hurth, Sandra Siehler, Dominique Fehlmann and Min‐Xu Zou and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Caroline Nunn

25 papers receiving 959 citations

Peers

Caroline Nunn
Sandra Siehler Switzerland
Alessandra Baragli Italy
Alexander J. Lakhter United States
Robert A. Gadski United States
Sandra Mammarella Italy
Karin Mörl Germany
Chunmin Dong United States
Georg von Jonquières Australia
Nathalie Blin France
Manuela Pfeiffer Germany
Sandra Siehler Switzerland
Caroline Nunn
Citations per year, relative to Caroline Nunn Caroline Nunn (= 1×) peers Sandra Siehler

Countries citing papers authored by Caroline Nunn

Since Specialization
Citations

This map shows the geographic impact of Caroline Nunn'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 Caroline Nunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Nunn more than expected).

Fields of papers citing papers by Caroline Nunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Nunn. 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 Caroline Nunn. The network helps show where Caroline Nunn may publish in the future.

Co-authorship network of co-authors of Caroline Nunn

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Nunn. A scholar is included among the top collaborators of Caroline Nunn 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 Caroline Nunn. Caroline Nunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Peishen, Caroline Nunn, Suneela Ramineni, John R. Hepler, & Peter Chidiac. (2012). The Ras‐binding domain region of RGS14 regulates its functional interactions with heterotrimeric G proteins. Journal of Cellular Biochemistry. 114(6). 1414–1423. 15 indexed citations
2.
Nunn, Caroline, et al.. (2011). Resistance to age-related, normal body weight gain in RGS2 deficient mice. Cellular Signalling. 23(8). 1375–1386. 25 indexed citations
3.
Siehler, Sandra, Caroline Nunn, Jason Hannon, Dominik Feuerbach, & Daniël Hoyer. (2007). Pharmacological profile of somatostatin and cortistatin receptors. Molecular and Cellular Endocrinology. 286(1-2). 26–34. 66 indexed citations
4.
Nunn, Caroline, et al.. (2006). RGS17/RGSZ2 and the RZ/A family of regulators of G-protein signaling. Seminars in Cell and Developmental Biology. 17(3). 390–399. 36 indexed citations
5.
Roy, Anju A., Caroline Nunn, Ming Hong, et al.. (2006). Up-regulation of Endogenous RGS2 Mediates Cross-desensitization between Gs and Gq Signaling in Osteoblasts. Journal of Biological Chemistry. 281(43). 32684–32693. 55 indexed citations
6.
Siehler, Sandra, Caroline Nunn, Günther K. H. Zupanc, & Daniël Hoyer. (2005). Fish somatostatin sst3 receptor: comparison of radioligand and GTPγS binding, adenylate cyclase and phospholipase C activities reveals different agonist‐dependent pharmacological signatures. Autonomic and Autacoid Pharmacology. 25(1). 1–16. 7 indexed citations
7.
Roy, Anju A., et al.. (2005). RGS proteins have a signalling complex: Interactions between RGS proteins and GPCRs, effectors, and auxiliary proteins. Cellular Signalling. 18(5). 579–591. 205 indexed citations
8.
9.
Hoyer, Daniël, Caroline Nunn, Jason Hannon, et al.. (2004). SRA880, in vitro characterization of the first non-peptide somatostatin sst1 receptor antagonist. Neuroscience Letters. 361(1-3). 132–135. 28 indexed citations
10.
Nunn, Caroline, Daniel Langenegger, Konstanze Hurth, et al.. (2003). Agonist properties of putative small-molecule somatostatin sst2 receptor-selective antagonists. European Journal of Pharmacology. 465(3). 211–218. 13 indexed citations
11.
Cervia, Davide, et al.. (2003). Pharmacological characterisation of native somatostatin receptors in AtT‐20 mouse tumour corticotrophs. British Journal of Pharmacology. 139(1). 109–121. 37 indexed citations
12.
Nunn, Caroline, Philippe Schoeffter, Daniel Langenegger, & Daniël Hoyer. (2003). Functional characterisation of the putative somatostatin sst2 receptor antagonist CYN 154806. Naunyn-Schmiedeberg s Archives of Pharmacology. 367(1). 1–9. 33 indexed citations
13.
Hannon, Jason, Caroline Nunn, Barbara Stolz, et al.. (2002). Drug Design at Peptide Receptors. Journal of Molecular Neuroscience. 18(1-2). 15–28. 91 indexed citations
14.
Lin, Xinwei, Caroline Nunn, Daniël Hoyer, Jean Rivier, & Richard Peter. (2002). Identification and characterization of a type five-like somatostatin receptor in goldfish pituitary. Molecular and Cellular Endocrinology. 189(1-2). 105–116. 29 indexed citations
15.
Nunn, Caroline, Dominik Feuerbach, Xinwei Lin, Richard Peter, & Daniël Hoyer. (2002). Pharmacological characterisation of the goldfish somatostatin sst5 receptor. European Journal of Pharmacology. 436(3). 173–186. 22 indexed citations
16.
Nunn, Caroline, Dominik Feuerbach, Xi Lin, Richard Peter, & Daniël Hoyer. (2001). Functional expression and pharmacological characterisation of the goldfish somatostatin sst5 receptor. British Journal of Pharmacology. 134. 42. 2 indexed citations
17.
Rawlings, Anthony V., Allan Watkinson, Caroline Nunn, et al.. (2001). Broad specificity alkaline proteases efficiently reduce the visual scaling associated with soap-induced xerosis. Archives of Dermatological Research. 293(10). 500–507. 10 indexed citations
18.
Gazi, Lucien, et al.. (2000). Cloning, expression, functional coupling and pharmacological characterization of the rat dopamine D 4 receptor. Naunyn-Schmiedeberg s Archives of Pharmacology. 361(5). 555–564. 20 indexed citations
19.
Feuerbach, Dominik, Dominique Fehlmann, Caroline Nunn, et al.. (2000). Cloning, expression and pharmacological characterisation of the mouse somatostatin sst5 receptor. Neuropharmacology. 39(8). 1451–1462. 34 indexed citations
20.
Mulligan, I. P., et al.. (1990). Striated scallop muscle relaxation: Fast force transients produced by photolysis of Diazo-2. Biochemical and Biophysical Research Communications. 168(1). 295–300. 9 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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