Wan-Hung Lee

507 total citations
9 papers, 381 citations indexed

About

Wan-Hung Lee is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wan-Hung Lee has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wan-Hung Lee's work include Pain Mechanisms and Treatments (7 papers), Ion channel regulation and function (4 papers) and Neuropeptides and Animal Physiology (3 papers). Wan-Hung Lee is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Ion channel regulation and function (4 papers) and Neuropeptides and Animal Physiology (3 papers). Wan-Hung Lee collaborates with scholars based in United States and Finland. Wan-Hung Lee's co-authors include K. Chung, Susan M. Carlton, Andrea G. Hohmann, Yvonne Y. Lai, Zhili Xu, Ganesh A. Thakur, Lawrence M. Carey, Andy Hudmon, Tannia Gutierrez and Liting Deng and has published in prestigious journals such as Scientific Reports, Pain and Neuroscience.

In The Last Decade

Wan-Hung Lee

9 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wan-Hung Lee United States	8	268	239	115	58	32	9	381
T.-J. Shi Sweden	9	451 1.7×	348 1.5×	220 1.9×	37 0.6×	80 2.5×	13	598
Thomas A. Szabo-Pardi United States	11	159 0.6×	272 1.1×	103 0.9×	76 1.3×	25 0.8×	20	462
Da-Lu Liu China	6	198 0.7×	337 1.4×	118 1.0×	44 0.8×	17 0.5×	6	505
Zi-Zhen Wu United States	9	290 1.1×	318 1.3×	297 2.6×	39 0.7×	21 0.7×	9	564
Sridhar Balasubramanyan Canada	8	259 1.0×	369 1.5×	143 1.2×	50 0.9×	25 0.8×	9	466
Ryszard Przewłocki Poland	11	291 1.1×	205 0.9×	216 1.9×	23 0.4×	31 1.0×	28	405
Karine Thibault France	10	157 0.6×	217 0.9×	77 0.7×	65 1.1×	21 0.7×	17	389
Maria Carolina Pedro Athié Brazil	9	116 0.4×	176 0.7×	80 0.7×	61 1.1×	20 0.6×	14	336
J.‐X. Hao Sweden	9	287 1.1×	274 1.1×	177 1.5×	30 0.5×	59 1.8×	11	369
Saïd M’Dahoma Canada	11	124 0.5×	210 0.9×	121 1.1×	30 0.5×	10 0.3×	15	366

Countries citing papers authored by Wan-Hung Lee

Since Specialization

Citations

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

Fields of papers citing papers by Wan-Hung Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan-Hung Lee. 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 Wan-Hung Lee. The network helps show where Wan-Hung Lee may publish in the future.

Co-authorship network of co-authors of Wan-Hung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wan-Hung Lee. A scholar is included among the top collaborators of Wan-Hung Lee 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 Wan-Hung Lee. Wan-Hung Lee 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

Lee, Wan-Hung, Lili Li, Andy Hudmon, et al.. (2018). Disruption of nNOS–NOS1AP protein–protein interactions suppresses neuropathic pain in mice. Pain. 159(5). 849–863. 17 indexed citations

Lee, Wan-Hung, Lawrence M. Carey, Lili Li, et al.. (2018). ZLc002, a putative small-molecule inhibitor of nNOS interaction with NOS1AP, suppresses inflammatory nociception and chemotherapy-induced neuropathic pain and synergizes with paclitaxel to reduce tumor cell viability. Molecular Pain. 14. 2224605000–2224605000. 15 indexed citations

Carey, Lawrence M., Wan-Hung Lee, Tannia Gutierrez, et al.. (2017). Small molecule inhibitors of PSD95–nNOS protein–protein interactions suppress formalin-evoked Fos protein expression and nociceptive behavior in rats. Neuroscience. 349. 303–317. 27 indexed citations

Carey, Lawrence M., Tannia Gutierrez, Liting Deng, et al.. (2017). Inflammatory and Neuropathic Nociception is Preserved in GPR55 Knockout Mice. Scientific Reports. 7(1). 944–944. 31 indexed citations

Deng, Liting, Wan-Hung Lee, Zhili Xu, Alexandros Makriyannis, & Andrea G. Hohmann. (2016). Prophylactic treatment with the tricyclic antidepressant desipramine prevents development of paclitaxel-induced neuropathic pain through activation of endogenous analgesic systems. Pharmacological Research. 114. 75–89. 16 indexed citations

Lee, Wan-Hung, Zhili Xu, Nicole M. Ashpole, et al.. (2015). Small molecule inhibitors of PSD95-nNOS protein–protein interactions as novel analgesics. Neuropharmacology. 97. 464–475. 56 indexed citations

Lee, Wan-Hung, Zhili Xu, Nicole M. Ashpole, et al.. (2015). Small molecule inhibitors of PSD95-nNOS protein-protein interactions as novel analgesics.. 3 indexed citations

Chung, K., Wan-Hung Lee, & Susan M. Carlton. (1988). The effects of dorsal rhizotomy and spinal cord isolation on calcitonin gene-related peptide-labeled terminals in the rat lumbar dorsal horn. Neuroscience Letters. 90(1-2). 27–32. 200 indexed citations

Chung, K. & Wan-Hung Lee. (1988). Vasoactive intestinal polypeptide (VIP) immunoreactivity in the ependymal cells of the rat spinal cord. Neuroscience Letters. 95(1-3). 1–6. 16 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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