Jenna M. Sullivan
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Cognitive Neuroscience
- Physiology
- Co-authors
- Evan D. MorrisKelly CosgroveDavid LabareeNabeel NabulsiSu KimHong GaoErin McGovernHemant D. Tagare
- Topics
- Medical Imaging Techniques and Applications (8 papers)Neuroscience and Neuropharmacology Research (7 papers)Receptor Mechanisms and Signaling (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceBiological PsychiatryRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesDenmark
In The Last Decade
Jenna M. Sullivan
16 papers receiving 423 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 168
- Radiology, Nuclear Medicine and Imaging 147
- Molecular Biology 100
- Cognitive Neuroscience 80
- Physiology 76
Countries citing papers authored by Jenna M. Sullivan
This map shows the geographic impact of Jenna M. Sullivan'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 Jenna M. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenna M. Sullivan more than expected).
Fields of papers citing papers by Jenna M. Sullivan
This network shows the impact of papers produced by Jenna M. Sullivan. 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 Jenna M. Sullivan. The network helps show where Jenna M. Sullivan may publish in the future.
Co-authorship network of co-authors of Jenna M. Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Jenna M. Sullivan. A scholar is included among the top collaborators of Jenna M. Sullivan 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 Jenna M. Sullivan. Jenna M. Sullivan 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 | 5 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 137 | |
| 8 | 36 | |
| 9 | 14 | |
| 10 | Limitations of SRTM, Logan graphical method, and equilibrium analysis for measuring transient dopamine release with [(11)C]raclopride PET. | 17 |
| 11 | 35 | |
| 12 | 2 | |
| 13 | 52 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | Imaging of Alcohol-Induced Dopamine Release in Rats: Preliminary Findings With ( | 1 |
| 17 | Bolus vs. bolus/infusion of the mGluR5 tracer [18F]FPEB in humans | 1 |
| 18 | 1 |
About Jenna M. Sullivan
Jenna M. Sullivan is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 426 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (168 citations), Biological Psychiatry (19 citations) and Radiology, Nuclear Medicine and Imaging (147 citations). Jenna M. Sullivan has collaborated with scholars based in United States and Denmark. Frequent co-authors include Evan D. Morris, Kelly Cosgrove, David Labaree, Nabeel Nabulsi, Su Kim, Hong Gao, Erin McGovern, Hemant D. Tagare, Richard E. Carson and Sujin Kim. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Neurology.
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.