R B Innis
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Solomon H. SnyderFernando Morgan de Aguiar CorrêaB SchneiderGeorge R. UhlMarc LaruelleP.S. Goldman-RakicPasko RakićMichael S. Lidow
- Topics
- Receptor Mechanisms and Signaling (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)
- Partner nations
- United StatesSweden
In The Last Decade
R B Innis
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 899
- Molecular Biology 521
- Cognitive Neuroscience 184
- Neurology 159
- Radiology, Nuclear Medicine and Imaging 127
Countries citing papers authored by R B Innis
This map shows the geographic impact of R B Innis'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 B Innis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R B Innis more than expected).
Fields of papers citing papers by R B Innis
This network shows the impact of papers produced by R B Innis. 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 B Innis. The network helps show where R B Innis may publish in the future.
Co-authorship network of co-authors of R B Innis
This figure shows the co-authorship network connecting the top 25 collaborators of R B Innis. A scholar is included among the top collaborators of R B Innis 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 B Innis. R B Innis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 1 | |
| 3 | 129 | |
| 4 | 23 | |
| 5 | Significance of nonuniform attenuation correction in quantitative brain SPECT imaging. | 47 |
| 6 | 1 | |
| 7 | SPECT imaging of dopamine transporters in human brain with iodine-123-fluoroalkyl analogs of beta-CIT. | 107 |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 32 | |
| 13 | 2 | |
| 14 | 67 | |
| 15 | 174 | |
| 16 | 88 | |
| 17 | 62 | |
| 18 | 27 | |
| 19 | 398 | |
| 20 | 2 |
About R B Innis
R B Innis is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Gastroenterology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (899 citations), Endocrine and Autonomic Systems (108 citations) and Neurology (159 citations). R B Innis has collaborated with scholars based in United States and Sweden. Frequent co-authors include Solomon H. Snyder, Fernando Morgan de Aguiar Corrêa, B Schneider, George R. Uhl, Marc Laruelle, P.S. Goldman-Rakic, Pasko Rakić, Michael S. Lidow, Joel Gelernter and Sami S. Zoghbi. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and American Journal of Psychiatry.
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.