Nicholas C. Vierra
- Molecular Biology
- Surgery
- Cellular and Molecular Neuroscience top 10%
- Genetics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- David A. JacobsonPrasanna K. DadiJames S. TrimmerMichael KirmizMatthew T. DickersonStephanie PalacioLuis F. SantanaDeborah van der List
- Topics
- Ion channel regulation and function (12 papers)Pancreatic function and diabetes (11 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesAustriaBulgaria
In The Last Decade
Nicholas C. Vierra
22 papers receiving 601 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 387
- Surgery 215
- Cellular and Molecular Neuroscience 172
- Genetics 95
- Endocrinology, Diabetes and Metabolism 93
Countries citing papers authored by Nicholas C. Vierra
This map shows the geographic impact of Nicholas C. Vierra'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 Nicholas C. Vierra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas C. Vierra more than expected).
Fields of papers citing papers by Nicholas C. Vierra
This network shows the impact of papers produced by Nicholas C. Vierra. 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 Nicholas C. Vierra. The network helps show where Nicholas C. Vierra may publish in the future.
Co-authorship network of co-authors of Nicholas C. Vierra
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas C. Vierra. A scholar is included among the top collaborators of Nicholas C. Vierra 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 Nicholas C. Vierra. Nicholas C. Vierra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 22 | |
| 7 | 29 | |
| 8 | 21 | |
| 9 | 70 | |
| 10 | 91 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 15 | |
| 15 | 50 | |
| 16 | 36 | |
| 17 | 37 | |
| 18 | 45 | |
| 19 | 54 | |
| 20 | 34 |
About Nicholas C. Vierra
Nicholas C. Vierra is a scholar working on Physiology, Cell Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 602 indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Pancreatic function and diabetes (11 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Physiology (53 citations), Cellular and Molecular Neuroscience (172 citations) and Sensory Systems (40 citations). Nicholas C. Vierra has collaborated with scholars based in United States, Austria and Bulgaria. Frequent co-authors include David A. Jacobson, Prasanna K. Dadi, James S. Trimmer, Michael Kirmiz, Matthew T. Dickerson, Stephanie Palacio, Luis F. Santana, Deborah van der List, David W. Piston and Roger Colbran. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.