Virginia Pulito
- Molecular Biology
- Genetics top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Linda K. JolliffeNicholas J. BrandonKaren L. MarquisRachel L. NavarraCody KelleyRobert A. ZivinJeffrey A. BluestoneAnnette L. Rothermel
- Topics
- Hormonal and reproductive studies (10 papers)Urinary Bladder and Prostate Research (10 papers)Receptor Mechanisms and Signaling (8 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Neuroscience
- Partner nations
- United StatesNorwayCanada
In The Last Decade
Virginia Pulito
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 557
- Genetics 295
- Cellular and Molecular Neuroscience 278
- Endocrinology, Diabetes and Metabolism 268
- Immunology 217
Countries citing papers authored by Virginia Pulito
This map shows the geographic impact of Virginia Pulito'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 Virginia Pulito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Pulito more than expected).
Fields of papers citing papers by Virginia Pulito
This network shows the impact of papers produced by Virginia Pulito. 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 Virginia Pulito. The network helps show where Virginia Pulito may publish in the future.
Co-authorship network of co-authors of Virginia Pulito
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Pulito. A scholar is included among the top collaborators of Virginia Pulito 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 Virginia Pulito. Virginia Pulito 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 | 70 | |
| 3 | 223 | |
| 4 | 5 | |
| 5 | 410 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 177 | |
| 16 | An investigation of the uroselective properties of four novel alpha(1a)-adrenergic receptor subtype-selective antagonists. | 39 |
| 17 | 17 | |
| 18 | 18 | |
| 19 | 41 | |
| 20 | 14 |
About Virginia Pulito
Virginia Pulito is a scholar working on Urology, Endocrinology, Diabetes and Metabolism and Transplantation, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (10 papers), Urinary Bladder and Prostate Research (10 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Behavioral Neuroscience (136 citations), Endocrinology, Diabetes and Metabolism (268 citations) and Cellular and Molecular Neuroscience (278 citations). Virginia Pulito has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Linda K. Jolliffe, Nicholas J. Brandon, Karen L. Marquis, Rachel L. Navarra, Cody Kelley, Robert A. Zivin, Jeffrey A. Bluestone, Annette L. Rothermel, Feng Liu and Mark L. Day. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Neuroscience.
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.