David M. Cain

726 total citations
9 papers, 586 citations indexed

About

David M. Cain is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, David M. Cain has authored 9 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in David M. Cain's work include Pain Mechanisms and Treatments (8 papers), Pain Management and Opioid Use (2 papers) and Cannabis and Cannabinoid Research (2 papers). David M. Cain is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Pain Management and Opioid Use (2 papers) and Cannabis and Cannabinoid Research (2 papers). David M. Cain collaborates with scholars based in United States, Vietnam and France. David M. Cain's co-authors include Donald A. Simone, Sergey G. Khasabov, Paul W. Wacnik, William R. Kennedy, Gwen Wendelschafer‐Crabb, George L. Wilcox, Michelle Turner, Catherine Harding-Rose, Robert P. Hebbel and Derek Vang and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Brain Research.

In The Last Decade

David M. Cain

9 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Cain United States	9	391	175	111	91	85	9	586
Tabi A. Leslie United Kingdom	6	362 0.9×	203 1.2×	102 0.9×	86 0.9×	45 0.5×	11	590
Xuerong Miao China	16	441 1.1×	261 1.5×	230 2.1×	86 0.9×	24 0.3×	28	806
A. Rueff United Kingdom	10	629 1.6×	522 3.0×	190 1.7×	78 0.9×	141 1.7×	13	898
Raul Sanoja Canada	10	616 1.6×	284 1.6×	280 2.5×	142 1.6×	33 0.4×	14	881
Xianfu Lu China	14	170 0.4×	192 1.1×	152 1.4×	34 0.4×	32 0.4×	33	499
Dongping Du China	17	397 1.0×	248 1.4×	159 1.4×	86 0.9×	37 0.4×	44	739
Stefania Echeverry Canada	9	759 1.9×	499 2.9×	116 1.0×	96 1.1×	30 0.4×	9	1.0k
Queensta Millet United Kingdom	8	411 1.1×	205 1.2×	251 2.3×	43 0.5×	26 0.3×	11	649
D. M. White Australia	17	523 1.3×	426 2.4×	196 1.8×	99 1.1×	40 0.5×	27	759
Ikuko Suzuki Japan	15	467 1.2×	295 1.7×	165 1.5×	45 0.5×	93 1.1×	33	777

Countries citing papers authored by David M. Cain

Since Specialization

Citations

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

Fields of papers citing papers by David M. Cain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Cain. 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 David M. Cain. The network helps show where David M. Cain may publish in the future.

Co-authorship network of co-authors of David M. Cain

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

All Works

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9 of 9 papers shown

Uhelski, Megan L., David M. Cain, Catherine Harding-Rose, & Donald A. Simone. (2013). The non-selective cannabinoid receptor agonist WIN 55,212-2 attenuates responses of C-fiber nociceptors in a murine model of cancer pain. Neuroscience. 247. 84–94. 28 indexed citations

Cain, David M., Derek Vang, Donald A. Simone, Robert P. Hebbel, & Kalpna Gupta. (2011). Mouse models for studying pain in sickle disease: effects of strain, age, and acuteness. British Journal of Haematology. 156(4). 535–544. 77 indexed citations

Hamamoto, Darryl T., Sergey G. Khasabov, David M. Cain, & Donald A. Simone. (2008). Tumor-Evoked Sensitization of C Nociceptors: A Role for Endothelin. Journal of Neurophysiology. 100(4). 2300–2311. 31 indexed citations

Gilchrist, Laura, David M. Cain, Catherine Harding-Rose, et al.. (2005). Re-organization of P2X3 receptor localization on epidermal nerve fibers in a murine model of cancer pain. Brain Research. 1044(2). 197–205. 60 indexed citations

Cain, David M., Sergey G. Khasabov, & Donald A. Simone. (2001). Response Properties of Mechanoreceptors and Nociceptors in Mouse Glabrous Skin: An In Vivo Study. Journal of Neurophysiology. 85(4). 1561–1574. 179 indexed citations

Cain, David M., Paul W. Wacnik, & Donald A. Simone. (2001). Animal models of cancer pain may reveal novel approaches to palliative care. Pain. 91(1). 1–4. 19 indexed citations

Cain, David M., et al.. (2001). Functional Interactions Between Tumor and Peripheral Nerve in a Model of Cancer Pain in the Mouse. Pain Medicine. 2(1). 15–23. 40 indexed citations

Khasabov, Sergey G., et al.. (2001). Enhanced Responses of Spinal Dorsal Horn Neurons to Heat and Cold Stimuli Following Mild Freeze Injury to the Skin. Journal of Neurophysiology. 86(2). 986–996. 37 indexed citations

Cain, David M., Paul W. Wacnik, Michelle Turner, et al.. (2001). Functional Interactions between Tumor and Peripheral Nerve: Changes in Excitability and Morphology of Primary Afferent Fibers in a Murine Model of Cancer Pain. Journal of Neuroscience. 21(23). 9367–9376. 115 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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