Jane E. Cavanaugh

2.2k total citations
42 papers, 1.9k citations indexed

About

Jane E. Cavanaugh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Jane E. Cavanaugh has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 7 papers in Oncology. Recurrent topics in Jane E. Cavanaugh's work include Melanoma and MAPK Pathways (15 papers), Nerve injury and regeneration (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Jane E. Cavanaugh is often cited by papers focused on Melanoma and MAPK Pathways (15 papers), Nerve injury and regeneration (7 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Jane E. Cavanaugh collaborates with scholars based in United States, Poland and Belgium. Jane E. Cavanaugh's co-authors include Zhengui Xia, Michal Hetman, Kevin C. Kanning, David Kimelman, Michael J. Zigmond, Joan M. Lakoski, Yan Chen, Steven Poser, Patrick T. Flaherty and Juliann D. Jaumotte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Jane E. Cavanaugh

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane E. Cavanaugh United States 18 1.0k 711 250 202 158 42 1.9k
Ren‐Wu Chen United States 17 970 0.9× 657 0.9× 168 0.7× 229 1.1× 89 0.6× 20 2.0k
Vilen Movsesyan United States 22 1.1k 1.1× 756 1.1× 221 0.9× 238 1.2× 148 0.9× 27 2.0k
Helena Cimarosti Brazil 26 844 0.8× 439 0.6× 152 0.6× 244 1.2× 123 0.8× 54 1.7k
Stefano Biagioni Italy 25 938 0.9× 578 0.8× 285 1.1× 179 0.9× 101 0.6× 92 1.8k
Yongqi Rong United States 20 801 0.8× 664 0.9× 157 0.6× 235 1.2× 240 1.5× 27 1.7k
Stephan Brecht Germany 22 919 0.9× 709 1.0× 152 0.6× 270 1.3× 114 0.7× 38 2.0k
Yoon Lim Australia 26 740 0.7× 581 0.8× 275 1.1× 269 1.3× 230 1.5× 41 1.5k
Graham L. Barrett Australia 25 1.0k 1.0× 969 1.4× 325 1.3× 239 1.2× 90 0.6× 51 1.8k
David S. Zuzga United States 13 713 0.7× 745 1.0× 336 1.3× 307 1.5× 56 0.4× 15 2.0k

Countries citing papers authored by Jane E. Cavanaugh

Since Specialization
Citations

This map shows the geographic impact of Jane E. Cavanaugh'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 E. Cavanaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane E. Cavanaugh more than expected).

Fields of papers citing papers by Jane E. Cavanaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Cavanaugh. 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 E. Cavanaugh. The network helps show where Jane E. Cavanaugh may publish in the future.

Co-authorship network of co-authors of Jane E. Cavanaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Jane E. Cavanaugh. A scholar is included among the top collaborators of Jane E. Cavanaugh 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 E. Cavanaugh. Jane E. Cavanaugh 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.
Wright, Thomas D., et al.. (2025). Isolation and Bioassay of Linear Veraguamides from a Marine Cyanobacterium (Okeania sp.). Molecules. 30(3). 680–680.
2.
Cavanaugh, Jane E., et al.. (2023). Barbamide Displays Affinity for Membrane-Bound Receptors and Impacts Store-Operated Calcium Entry in Mouse Sensory Neurons. Marine Drugs. 21(2). 110–110. 1 indexed citations
3.
Wright, Thomas D., Margarite D. Matossian, Deniz A. Uçar, et al.. (2021). Diverse and converging roles of ERK1/2 and ERK5 pathways on mesenchymal to epithelial transition in breast cancer. Translational Oncology. 14(6). 101046–101046. 8 indexed citations
4.
Wright, Thomas D., et al.. (2019). Abstract B078: Inhibition of the MAPK pathways enhances the sensitivity of triple negative breast cancer cells to chemotherapeutic drugs. Molecular Cancer Therapeutics. 18(12_Supplement). B078–B078.
5.
Poloyac, Samuel M., Jane E. Cavanaugh, Nicholas E. Hagemeier, et al.. (2018). Breaking Down Barriers to Pharmacy Graduate Education: The Report of the 2017-2018 Research and Graduate Affairs Committee. American Journal of Pharmaceutical Education. 82(7). 7147–7147. 8 indexed citations
6.
Hoang, Van T., et al.. (2017). Oncogenic signaling of MEK5-ERK5. Cancer Letters. 392. 51–59. 69 indexed citations
7.
Poloyac, Samuel M., Kirsten F. Block, Jane E. Cavanaugh, et al.. (2017). Competency, Programming, and Emerging Innovation in Graduate Education within Schools of Pharmacy: The Report of the 2016-2017 Research and Graduate Affairs Committee. American Journal of Pharmaceutical Education. 81(8). S11–S11. 12 indexed citations
8.
Tapias, Vı́ctor, et al.. (2017). Resveratrol and pinostilbene confer neuroprotection against aging-related deficits through an ERK1/2-dependent mechanism. The Journal of Nutritional Biochemistry. 54. 77–86. 26 indexed citations
9.
Sadler, Katelyn E., et al.. (2017). Central amygdala activation of extracellular signal-regulated kinase 1 and age-dependent changes in inflammatory pain sensitivity in mice. Neurobiology of Aging. 56. 100–107. 13 indexed citations
10.
Buckner, Ira S., et al.. (2016). Improved Flux of Levodopa via Direct Deposition of Solid Microparticles on Nasal Tissue. AAPS PharmSciTech. 18(3). 904–912. 20 indexed citations
11.
Cavanaugh, Jane E., et al.. (2014). Loss of motor coordination in an aging mouse model. Behavioural Brain Research. 267. 119–125. 10 indexed citations
12.
Parmar, Mayur, et al.. (2014). Dietary supplementation with resveratrol protects against striatal dopaminergic deficits produced by in utero LPS exposure. Brain Research. 1573. 37–43. 19 indexed citations
13.
Parmar, Mayur, et al.. (2013). The role of ERK1, 2, and 5 in dopamine neuron survival during aging. Neurobiology of Aging. 35(3). 669–679. 23 indexed citations
14.
Cavanaugh, Jane E. & Paula A. Witt‐Enderby. (2010). Mini-review: CNS Melatonin Receptors and Signaling: Focus on Aging-Related Diseases and Future Perspectives. 3(1). 4 indexed citations
15.
Flaherty, Patrick T., et al.. (2010). Identification of benzimidazole-based inhibitors of the mitogen activated kinase-5 signaling pathway. Bioorganic & Medicinal Chemistry Letters. 20(9). 2892–2896. 13 indexed citations
16.
Zigmond, Michael J., et al.. (2010). L-DOPA reverses motor deficits associated with normal aging in mice. Neuroscience Letters. 489(1). 1–4. 13 indexed citations
17.
Cavanaugh, Jane E., Juliann D. Jaumotte, Joan M. Lakoski, & Michael J. Zigmond. (2006). Neuroprotective role of ERK1/2 and ERK5 in a dopaminergic cell line under basal conditions and in response to oxidative stress. Journal of Neuroscience Research. 84(6). 1367–1375. 71 indexed citations
18.
Cavanaugh, Jane E.. (2004). Role of extracellular signal regulated kinase 5 in neuronal survival. European Journal of Biochemistry. 271(11). 2056–2059. 82 indexed citations
19.
Karpa, Kelly Dowhower, Jane E. Cavanaugh, & Joan M. Lakoski. (2002). Duloxetine Pharmacology: Profile of a Dual Monoamine Modulator. CNS Drug Reviews. 8(4). 361–376. 47 indexed citations
20.
Hetman, Michal, et al.. (2001). Glycogen synthase kinase-3beta as a target for anti-apoptotic signals. Cellular & Molecular Biology Letters. 6. 494. 1 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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