John C. Dolan

1.2k total citations
28 papers, 935 citations indexed

About

John C. Dolan is a scholar working on Cellular and Molecular Neuroscience, Physiology and Psychiatry and Mental health. According to data from OpenAlex, John C. Dolan has authored 28 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Physiology and 11 papers in Psychiatry and Mental health. Recurrent topics in John C. Dolan's work include Pain Mechanisms and Treatments (12 papers), Neuropeptides and Animal Physiology (11 papers) and Cancer, Stress, Anesthesia, and Immune Response (10 papers). John C. Dolan is often cited by papers focused on Pain Mechanisms and Treatments (12 papers), Neuropeptides and Animal Physiology (11 papers) and Cancer, Stress, Anesthesia, and Immune Response (10 papers). John C. Dolan collaborates with scholars based in United States, China and Australia. John C. Dolan's co-authors include Brian L. Schmidt, David K. Lam, Dongmin Dang, Yi Ye, Chi T. Viet, Nicole N. Scheff, Aditi Bhattacharya, Jianan Zhang, Jennifer L. Gibbs and Jianan Zhang and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

John C. Dolan

28 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John C. Dolan United States 19 420 240 216 212 121 28 935
Chi T. Viet United States 18 289 0.7× 155 0.6× 345 1.6× 160 0.8× 103 0.9× 40 941
Kyle G. Halvorson United States 14 693 1.6× 202 0.8× 226 1.0× 317 1.5× 231 1.9× 21 1.3k
Jami L. Saloman United States 16 324 0.8× 323 1.3× 223 1.0× 335 1.6× 32 0.3× 38 992
Robert Y. North United States 14 511 1.2× 64 0.3× 261 1.2× 259 1.2× 38 0.3× 49 933
Joost L.M. Jongen Netherlands 21 453 1.1× 62 0.3× 221 1.0× 287 1.4× 184 1.5× 45 1.2k
Matthew S. Ripsch United States 19 890 2.1× 130 0.5× 378 1.8× 685 3.2× 52 0.4× 29 1.5k
Chamini J. Perera Australia 16 449 1.1× 71 0.3× 260 1.2× 185 0.9× 23 0.2× 28 952
Simon Cruwys United Kingdom 19 424 1.0× 87 0.4× 234 1.1× 352 1.7× 16 0.1× 38 1.0k
Ciro De Luca Italy 16 177 0.4× 141 0.6× 209 1.0× 210 1.0× 15 0.1× 36 875
Alyssa K. Kosturakis United States 12 571 1.4× 60 0.3× 175 0.8× 161 0.8× 55 0.5× 17 1.0k

Countries citing papers authored by John C. Dolan

Since Specialization
Citations

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

Fields of papers citing papers by John C. Dolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Dolan. 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 John C. Dolan. The network helps show where John C. Dolan may publish in the future.

Co-authorship network of co-authors of John C. Dolan

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Dolan. A scholar is included among the top collaborators of John C. Dolan 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 John C. Dolan. John C. Dolan 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.
Tu, Nguyen Huu, Shavonne Teng, Tianyu Li, et al.. (2024). PAR2 on oral cancer cells and nociceptors contributes to oral cancer pain that can be relieved by nanoparticle-encapsulated AZ3451. Biomaterials. 314. 122874–122874. 7 indexed citations
2.
McIlvried, Lisa A., et al.. (2022). The impact of tumor immunogenicity on cancer pain phenotype using syngeneic oral cancer mouse models. SHILAP Revista de lepidopterología. 3. 991725–991725. 14 indexed citations
3.
Scheff, Nicole N., Hannah Williams, Nguyen Huu Tu, et al.. (2022). Oral cancer induced TRPV1 sensitization is mediated by PAR2 signaling in primary afferent neurons innervating the cancer microenvironment. Scientific Reports. 12(1). 4121–4121. 20 indexed citations
4.
5.
Tu, Nguyen Huu, Kenji Inoue, Caroline M. Sawicki, et al.. (2021). Cathepsin S Evokes PAR2-Dependent Pain in Oral Squamous Cell Carcinoma Patients and Preclinical Mouse Models. Cancers. 13(18). 4697–4697. 23 indexed citations
6.
Tu, Nguyen Huu, Dane D. Jensen, Nestor N. Jiménez-Vargas, et al.. (2020). Legumain Induces Oral Cancer Pain by Biased Agonism of Protease-Activated Receptor-2. Journal of Neuroscience. 41(1). 193–210. 44 indexed citations
7.
Salvo, Elizabeth, W. Marie Campana, Nicole N. Scheff, et al.. (2020). Peripheral nerve injury and sensitization underlie pain associated with oral cancer perineural invasion. Pain. 161(11). 2592–2602. 40 indexed citations
8.
9.
Scheff, Nicole N., Aditi Bhattacharya, John C. Dolan, et al.. (2018). Neutrophil-Mediated Endogenous Analgesia Contributes to Sex Differences in Oral Cancer Pain. Frontiers in Integrative Neuroscience. 12. 52–52. 38 indexed citations
10.
Ye, Yi, Nicole N. Scheff, Daniel Galera Bernabé, et al.. (2018). Anti-cancer and analgesic effects of resolvin D2 in oral squamous cell carcinoma. Neuropharmacology. 139. 182–193. 66 indexed citations
11.
Ono, Kentaro, Chi T. Viet, Yi Ye, et al.. (2017). Cutaneous pigmentation modulates skin sensitivity via tyrosinase-dependent dopaminergic signalling. Scientific Reports. 7(1). 9181–9181. 15 indexed citations
12.
Ye, Yi, Daniel Galera Bernabé, Elizabeth Salvo, et al.. (2017). Alterations in opioid inhibition cause widespread nociception but do not affect anxiety-like behavior in oral cancer mice. Neuroscience. 363. 50–61. 7 indexed citations
13.
Scheff, Nicole N., Yi Ye, Aditi Bhattacharya, et al.. (2017). Tumor necrosis factor alpha secreted from oral squamous cell carcinoma contributes to cancer pain and associated inflammation. Pain. 158(12). 2396–2409. 76 indexed citations
14.
Ye, Yi, Kentaro Ono, Daniel Galera Bernabé, et al.. (2014). Adenosine triphosphate drives head and neck cancer pain through P2X2/3 heterotrimers. Acta Neuropathologica Communications. 2(1). 62–62. 45 indexed citations
15.
Lam, David K., Dongmin Dang, Jianan Zhang, John C. Dolan, & Brian L. Schmidt. (2012). Novel Animal Models of Acute and Chronic Cancer Pain: A Pivotal Role for PAR2. Journal of Neuroscience. 32(41). 14178–14183. 68 indexed citations
16.
Ye, Yi, Dongmin Dang, Chi T. Viet, John C. Dolan, & Brian L. Schmidt. (2012). Analgesia Targeting IB4-Positive Neurons in Cancer-Induced Mechanical Hypersensitivity. Journal of Pain. 13(6). 524–531. 28 indexed citations
17.
Hardt, Markus, David K. Lam, John C. Dolan, & Brian L. Schmidt. (2011). Surveying proteolytic processes in human cancer microenvironments by microdialysis and activity‐based mass spectrometry. PROTEOMICS - CLINICAL APPLICATIONS. 5(11-12). 636–643. 19 indexed citations
18.
Ye, Yi, Dongmin Dang, Jianan Zhang, et al.. (2011). Nerve Growth Factor Links Oral Cancer Progression, Pain, and Cachexia. Molecular Cancer Therapeutics. 10(9). 1667–1676. 123 indexed citations
19.
Dolan, John C., et al.. (2010). The dolognawmeter: A novel instrument and assay to quantify nociception in rodent models of orofacial pain. Journal of Neuroscience Methods. 187(2). 207–215. 50 indexed citations
20.
Schmidt, Brian L., Victoria Pickering, Stanley Yung‐Chuan Liu, et al.. (2006). Peripheral endothelin A receptor antagonism attenuates carcinoma‐induced pain. European Journal of Pain. 11(4). 406–414. 56 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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