Nancy A. Thompson
- Molecular Biology
- Surgery top 10%
- Immunology top 10%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Gérard WaeberPascal NicodChristophe BonnyJacques‐Antoine HaefligerLukas C. KühnBarbara NeupertMichael BacherChristian Seiser
- Topics
- Pancreatic function and diabetes (6 papers)Nuclear Receptors and Signaling (4 papers)Macrophage Migration Inhibitory Factor (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Nancy A. Thompson
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 498
- Surgery 408
- Immunology 280
- Genetics 261
- Cellular and Molecular Neuroscience 192
Countries citing papers authored by Nancy A. Thompson
This map shows the geographic impact of Nancy A. Thompson'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 Nancy A. Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy A. Thompson more than expected).
Fields of papers citing papers by Nancy A. Thompson
This network shows the impact of papers produced by Nancy A. Thompson. 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 Nancy A. Thompson. The network helps show where Nancy A. Thompson may publish in the future.
Co-authorship network of co-authors of Nancy A. Thompson
This figure shows the co-authorship network connecting the top 25 collaborators of Nancy A. Thompson. A scholar is included among the top collaborators of Nancy A. Thompson 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 Nancy A. Thompson. Nancy A. Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 42 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 17 | |
| 6 | 89 | |
| 7 | 16 | |
| 8 | 27 | |
| 9 | 51 | |
| 10 | 13 | |
| 11 | 52 | |
| 12 | 282 | |
| 13 | 58 | |
| 14 | 32 | |
| 15 | 48 | |
| 16 | 56 | |
| 17 | 3 | |
| 18 | 71 | |
| 19 | Task Training Emphasis for Determining Training Priority. | 1 |
| 20 | 6 |
About Nancy A. Thompson
Nancy A. Thompson is a scholar working on Cellular and Molecular Neuroscience, Software and Physiology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Nuclear Receptors and Signaling (4 papers) and Macrophage Migration Inhibitory Factor (4 papers). The work is most often cited by research in Immunology (280 citations), Endocrinology, Diabetes and Metabolism (179 citations) and Cellular and Molecular Neuroscience (192 citations). Nancy A. Thompson has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Gérard Waeber, Pascal Nicod, Christophe Bonny, Jacques‐Antoine Haefliger, Lukas C. Kühn, Barbara Neupert, Michael Bacher, Christian Seiser, Thierry Calandra and Christine Meyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.