Jason T. Doheny

582 total citations
10 papers, 430 citations indexed

About

Jason T. Doheny is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jason T. Doheny has authored 10 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Jason T. Doheny's work include Pain Mechanisms and Treatments (8 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Jason T. Doheny is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Jason T. Doheny collaborates with scholars based in United States, China and Serbia. Jason T. Doheny's co-authors include Shiqian Shen, Weihua Ding, Zerong You, Jianren Mao, Lucy Chen, Grewo Lim, Peigen Huang, Kun Hu, Peter Caravan and Zhongcong Xie and has published in prestigious journals such as Nature Neuroscience, Pain and Anesthesia & Analgesia.

In The Last Decade

Jason T. Doheny

10 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason T. Doheny United States 7 228 150 89 76 44 10 430
Nancy Buechler United States 14 314 1.4× 233 1.6× 118 1.3× 24 0.3× 12 0.3× 18 737
Sachiko Hara Japan 9 111 0.5× 59 0.4× 48 0.5× 57 0.8× 73 1.7× 16 437
Gábor Sütő Hungary 15 149 0.7× 130 0.9× 128 1.4× 21 0.3× 8 0.2× 64 697
Katarzyna Winek Germany 12 126 0.6× 389 2.6× 38 0.4× 14 0.2× 78 1.8× 21 711
H. Bootsma Netherlands 11 143 0.6× 73 0.5× 113 1.3× 63 0.8× 15 0.3× 12 655
Chang Shan China 10 108 0.5× 194 1.3× 34 0.4× 26 0.3× 89 2.0× 21 426
Monica Spychala United States 6 166 0.7× 326 2.2× 21 0.2× 19 0.3× 32 0.7× 9 651
Natalie M. Wilson United States 9 293 1.3× 73 0.5× 151 1.7× 45 0.6× 59 1.3× 11 511
Chandar Singaram United States 16 98 0.4× 89 0.6× 117 1.3× 38 0.5× 180 4.1× 26 787
José Luis Cortes-Altamirano Mexico 10 112 0.5× 54 0.4× 71 0.8× 11 0.1× 40 0.9× 24 295

Countries citing papers authored by Jason T. Doheny

Since Specialization
Citations

This map shows the geographic impact of Jason T. Doheny'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 Jason T. Doheny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Doheny more than expected).

Fields of papers citing papers by Jason T. Doheny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Doheny. 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 Jason T. Doheny. The network helps show where Jason T. Doheny may publish in the future.

Co-authorship network of co-authors of Jason T. Doheny

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

All Works

10 of 10 papers shown
1.
You, Zerong, Jinsheng Yang, Ge Li, et al.. (2025). Microtubule-modulating drugs alter sensitivity to isoflurane in mice. BMC Anesthesiology. 25(1). 109–109. 1 indexed citations
2.
Ding, Weihua, Zerong You, Qian Chen, et al.. (2020). Gut Microbiota Influences Neuropathic Pain Through Modulating Proinflammatory and Anti-inflammatory T Cells. Anesthesia & Analgesia. 132(4). 1146–1155. 75 indexed citations
3.
Zhou, Xue, Weihua Ding, Zerong You, et al.. (2019). Proliferator-Activated Receptor-Gamma Coactivator-1α Haploinsufficiency Promotes Pain Chronification After Burn Injury. Anesthesia & Analgesia. 130(1). 240–247. 8 indexed citations
4.
5.
You, Zerong, Weihua Ding, Jason T. Doheny, et al.. (2019). Methylphenidate and Morphine Combination Therapy in a Rat Model of Chronic Pain. Anesthesia & Analgesia. 130(2). 518–524. 3 indexed citations
6.
Ding, Weihua, Zerong You, Shiqian Shen, et al.. (2018). Increased HCN Channel Activity in the Gasserian Ganglion Contributes to Trigeminal Neuropathic Pain. Journal of Pain. 19(6). 626–634. 14 indexed citations
7.
You, Zerong, Weihua Ding, Jason T. Doheny, et al.. (2018). Persistent Nociception Facilitates the Extinction of Morphine-Induced Conditioned Place Preference. Anesthesia & Analgesia. 129(3). 890–895. 2 indexed citations
8.
You, Zerong, Shuzhuo Zhang, Shiqian Shen, et al.. (2018). Cognitive impairment in a rat model of neuropathic pain: role of hippocampal microtubule stability. Pain. 159(8). 1518–1528. 42 indexed citations
9.
Shen, Shiqian, Grewo Lim, Zerong You, et al.. (2017). Gut microbiota is critical for the induction of chemotherapy-induced pain. Nature Neuroscience. 20(9). 1213–1216. 218 indexed citations
10.
Ding, Weihua, Zerong You, Shiqian Shen, et al.. (2017). An Improved Rodent Model of Trigeminal Neuropathic Pain by Unilateral Chronic Constriction Injury of Distal Infraorbital Nerve. Journal of Pain. 18(8). 899–907. 61 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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