Caroline Nunn
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Peter ChidiacDaniël HoyerAnju A. RoyDaniel LangeneggerJason HannonDominik FeuerbachKonstanze HurthSandra Siehler
- Topics
- Neuroendocrine Tumor Research Advances (15 papers)Receptor Mechanisms and Signaling (15 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)
- Journals
- Journal of Biological ChemistryCirculation ResearchBiochemical and Biophysical Research Communications
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Caroline Nunn
25 papers receiving 959 citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 650
- Cellular and Molecular Neuroscience 274
- Epidemiology 213
- Endocrinology, Diabetes and Metabolism 137
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Caroline Nunn
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 25 | |
| 3 | 66 | |
| 4 | 36 | |
| 5 | 55 | |
| 6 | 7 | |
| 7 | 205 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | 13 | |
| 11 | 37 | |
| 12 | 33 | |
| 13 | 91 | |
| 14 | 29 | |
| 15 | 22 | |
| 16 | Functional expression and pharmacological characterisation of the goldfish somatostatin sst5 receptor | 2 |
| 17 | 10 | |
| 18 | 20 | |
| 19 | 34 | |
| 20 | 9 |
About Caroline Nunn
Caroline Nunn is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 26 papers that have together received 970 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (15 papers), Receptor Mechanisms and Signaling (15 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (274 citations), Molecular Biology (650 citations) and Endocrine and Autonomic Systems (56 citations). Caroline Nunn has collaborated with scholars based in Switzerland, Canada and United States. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research and Biochemical and Biophysical Research Communications.
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.