Jane Sullivan
Impact in
-
- Neuroscience and Neuropharmacology Research
- Pharmacology top 2%
- Cannabis and Cannabinoid Research
Papers in
-
- Neuroscience and Neuropharmacology Research 13
- Cell Biology 10
- Cellular transport and secretion 10
- Co-authors
- Charles F. Stevens (4 shared papers)Dinah Misner (1 shared paper)Stephen F. Heinemann (2 shared papers)Lora Beasley (1 shared paper)Cornelia Maron (1 shared paper)Jim Boulter (1 shared paper)Michael Hollmann (1 shared paper)David G. Cook (4 shared papers)
- Journals
- Journal of Neuroscience (6 papers)Neuron (6 papers)Nature Neuroscience (4 papers)Current Biology (2 papers)Brain Research (2 papers)
- Partner nations
- United StatesBrazil
In The Last Decade
Jane Sullivan
28 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 1.1k
- Pharmacology 375
- Cell Biology 301
- Developmental Neuroscience 50
- Physiology 296
Countries citing papers authored by Jane Sullivan
This map shows the geographic impact of Jane 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 Jane Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Sullivan more than expected).
Fields of papers citing papers by Jane Sullivan
This network shows the impact of papers produced by Jane 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 Jane Sullivan. The network helps show where Jane Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 562 | |
| 2 | 1999 | 238 | |
| 3 | 1998 | 227 | |
| 4 | 2013 | 191 | |
| 5 | 2006 | 175 | |
| 6 | 2013 | 154 | |
| 7 | 1999 | 146 | |
| 8 | 1993 | 142 | |
| 9 | 2003 | 122 | |
| 10 | 2006 | 110 | |
| 11 | 2010 | 72 | |
| 12 | 2011 | 69 | |
| 13 | 2002 | 58 | |
| 14 | 2017 | 43 | |
| 15 | 2006 | 33 | |
| 16 | 2016 | 31 | |
| 17 | 2005 | 28 | |
| 18 | 1998 | 27 | |
| 19 | 2011 | 25 | |
| 20 | 2003 | 20 |
About Jane Sullivan
Jane Sullivan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Pharmacology, Physiology and Biochemistry, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Cellular transport and secretion (10 papers), Alzheimer's disease research and treatments (4 papers), Cannabis and Cannabinoid Research (3 papers), Receptor Mechanisms and Signaling (1 paper), Muscle activation and electromyography studies (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Pharmacology (375 citations), Cell Biology (301 citations), Developmental Neuroscience (50 citations) and Physiology (296 citations). Jane Sullivan has collaborated with scholars based in United States and Brazil. Frequent co-authors include Charles F. Stevens, Dinah Misner, Stephen F. Heinemann, Lora Beasley, Cornelia Maron, Jim Boulter, Michael Hollmann, David G. Cook, Talley J. Lambert and Kenneth L. Custer. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Neuroscience, Current Biology and Brain Research.
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.