Jane Sullivan

3.3k total citations · 1 hit paper
42 papers, 2.6k citations indexed

About

Jane Sullivan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Epidemiology. According to data from OpenAlex, Jane Sullivan has authored 42 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Jane Sullivan's work include Neuroscience and Neuropharmacology Research (20 papers), Cellular transport and secretion (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Jane Sullivan is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Cellular transport and secretion (5 papers) and Lipid Membrane Structure and Behavior (5 papers). Jane Sullivan collaborates with scholars based in United States, United Kingdom and Russia. Jane Sullivan's 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 Naola Austin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Jane Sullivan

41 papers receiving 2.6k citations

Hit Papers

Zinc potentiates agonist-lnduced currents at certain spli... 1993 2026 2004 2015 1993 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jane Sullivan United States 21 1.8k 1.3k 550 401 398 42 2.6k
R. Jane Rylett Canada 31 1.4k 0.8× 1.6k 1.2× 596 1.1× 222 0.6× 335 0.8× 107 3.1k
Hélène Varoqui United States 25 2.2k 1.2× 1.7k 1.3× 198 0.4× 500 1.2× 480 1.2× 37 3.3k
Lit-Fui Lau United States 8 1.8k 1.0× 1.4k 1.1× 185 0.3× 439 1.1× 351 0.9× 8 2.9k
Zhenglin Gu United States 29 1.5k 0.8× 1.3k 1.0× 230 0.4× 147 0.4× 467 1.2× 42 2.2k
Yi Nong United States 13 1.6k 0.9× 1.3k 1.0× 337 0.6× 179 0.4× 303 0.8× 19 2.5k
Robert P. Yasuda United States 34 2.6k 1.4× 2.4k 1.8× 250 0.5× 140 0.3× 450 1.1× 70 3.7k
Antonio Sanz-Clemente United States 14 1.4k 0.8× 947 0.7× 285 0.5× 150 0.4× 313 0.8× 17 2.2k
Volker Nimmrich Germany 20 920 0.5× 850 0.6× 310 0.6× 225 0.6× 425 1.1× 30 2.1k
Keith J. Page United Kingdom 17 1.0k 0.6× 903 0.7× 456 0.8× 159 0.4× 659 1.7× 30 2.2k

Countries citing papers authored by Jane Sullivan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jane Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Sullivan. A scholar is included among the top collaborators of Jane 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 Jane Sullivan. Jane Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cohen, Kenneth J., Omid Ameli, Nathan J. Smith, et al.. (2025). Potential Spillover Effects on Traditional Medicare When Physicians Bear Medicare Advantage Risk. The American Journal of Managed Care. 31(8). 390–396. 1 indexed citations
2.
McAdam‐Marx, Carrie, et al.. (2023). The effects of patient out‐of‐pocket costs on insulin use among people with type 1 and type 2 diabetes with Medicare Advantage insurance—2014–2018. Health Services Research. 59(1). e14152–e14152. 7 indexed citations
3.
Kushmerick, Christopher, et al.. (2022). Hippocampal neurons maintain a large PtdIns(4)P pool that results in faster PtdIns(4,5)P2 synthesis. The Journal of General Physiology. 154(3). 4 indexed citations
5.
Brodsky, Matthew, et al.. (2017). 5-HT 6 receptor blockade regulates primary cilia morphology in striatal neurons. Brain Research. 1660. 10–19. 36 indexed citations
6.
Pollak, Julia, Matthew S. Wilken, Yumi Ueki, et al.. (2013). ASCL1 reprograms mouse Müller glia into neurogenic retinal progenitors. Development. 140(12). 2619–2631. 182 indexed citations
7.
Chen, Connie, et al.. (2013). Retrospective claims analysis of best supportive care costs and survival in a US metastatic renal cell population. ClinicoEconomics and Outcomes Research. 5. 347–347. 9 indexed citations
8.
Pratt, Kara G., Ping Zhu, Hirofumi Watari, David G. Cook, & Jane Sullivan. (2011). A Novel Role for γ-Secretase: Selective Regulation of Spontaneous Neurotransmitter Release from Hippocampal Neurons. Journal of Neuroscience. 31(3). 899–906. 25 indexed citations
9.
Ramsey, Scott D., Henry J. Henk, Jane Sullivan, et al.. (2011). PCN50 First and Second Line Lung Cancer Treatment Utilization Patterns and associated Costs in A United States Health Care Claims Database. Value in Health. 14(7). A442–A443. 1 indexed citations
10.
Poordad, Fred, Dickens Theodore, Jane Sullivan, & Kelly M. Grotzinger. (2011). Medical resource utilisation and healthcare costs in patients with chronic hepatitis C viral infection and thrombocytopenia. Journal of Medical Economics. 14(2). 194–206. 18 indexed citations
11.
Poordad, Fred, Dickens Theodore, Jane Sullivan, & Kelly M. Grotzinger. (2011). Evaluating medical resource utilization and costs associated with thrombocytopenia in chronic liver disease patients. Journal of Medical Economics. 15(1). 112–124. 8 indexed citations
12.
Tóth, Peter P., et al.. (2009). Dyslipidemia treatment of patients with diabetes mellitus in a US managed care plan: a retrospective database analysis. Cardiovascular Diabetology. 8(1). 26–26. 21 indexed citations
13.
Tóth, Peter P., et al.. (2008). Lipid therapy utilization rates in a managed-care mixed dyslipidemia population. Journal of clinical lipidology. 2(5). 365–374. 5 indexed citations
14.
Custer, Kenneth L., Naola Austin, Jane Sullivan, & Sandra Bajjalieh. (2006). Synaptic Vesicle Protein 2 Enhances Release Probability at Quiescent Synapses. Journal of Neuroscience. 26(4). 1303–1313. 167 indexed citations
15.
Ting, Jonathan T., Brooke G. Kelley, & Jane Sullivan. (2006). Synaptotagmin IV Does Not Alter Excitatory Fast Synaptic Transmission or Fusion Pore Kinetics in Mammalian CNS Neurons. Journal of Neuroscience. 26(2). 372–380. 34 indexed citations
16.
Sullivan, Jane, et al.. (2006). Overexpression of Proteins in Neurons Using Replication-Deficient Virus. Humana Press eBooks. 337. 15–26. 1 indexed citations
17.
Stevens, Charles F., et al.. (2005). Synaptotagmin mutants Y311N and K326/327A alter the calcium dependence of neurotransmission. Molecular and Cellular Neuroscience. 29(3). 462–470. 25 indexed citations
18.
Stevens, Charles F. & Jane Sullivan. (2003). The Synaptotagmin C2A Domain Is Part of the Calcium Sensor Controlling Fast Synaptic Transmission. Neuron. 39(2). 299–308. 115 indexed citations
19.
Sullivan, Jane. (2000). Cellular and Molecular Mechanisms Underlying Learning and Memory Impairments Produced by Cannabinoids: Figure 1.. Learning & Memory. 7(3). 132–139. 142 indexed citations
20.
Stevens, Charles F. & Jane Sullivan. (1998). Synaptic plasticity. Current Biology. 8(5). R151–R153. 26 indexed citations

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.

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