R. Portanova
- Behavioral Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Social Psychology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Co-authors
- George SayersP. FawcettYutaka TakabatakeHoward SachsWilliam J. BrattinN. W. FugoDavid K. SmithGary A. Dudley
- Topics
- Stress Responses and Cortisol (7 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)Neuroendocrine regulation and behavior (3 papers)
- Cited by
- Behavioral NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Journals
- Biochemical and Biophysical Research CommunicationsEndocrinologyExperimental Biology and Medicine
- Partner nations
- United States
In The Last Decade
R. Portanova
22 papers receiving 382 citations
Peers
Comparison fields: 5 of 64
- Behavioral Neuroscience 140
- Endocrinology, Diabetes and Metabolism 139
- Social Psychology 122
- Molecular Biology 97
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by R. Portanova
This map shows the geographic impact of R. Portanova'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 R. Portanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Portanova more than expected).
Fields of papers citing papers by R. Portanova
This network shows the impact of papers produced by R. Portanova. 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 R. Portanova. The network helps show where R. Portanova may publish in the future.
Co-authorship network of co-authors of R. Portanova
This figure shows the co-authorship network connecting the top 25 collaborators of R. Portanova. A scholar is included among the top collaborators of R. Portanova 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 R. Portanova. R. Portanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 49 | |
| 12 | 16 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 45 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 29 | |
| 19 | 162 | |
| 20 | 6 |
About R. Portanova
R. Portanova is a scholar working on Behavioral Neuroscience, Anatomy and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 431 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Behavioral Neuroscience (140 citations), Endocrine and Autonomic Systems (80 citations) and Endocrinology, Diabetes and Metabolism (139 citations). R. Portanova has collaborated with scholars based in United States. Frequent co-authors include George Sayers, P. Fawcett, Yutaka Takabatake, Howard Sachs, William J. Brattin, N. W. Fugo, David K. Smith, Gary A. Dudley, Joseph T. Eastman and Sasha Malamed. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology and Experimental Biology and Medicine.
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.