Qingjian Han

1.3k total citations
26 papers, 737 citations indexed

About

Qingjian Han is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qingjian Han has authored 26 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qingjian Han's work include Pain Mechanisms and Treatments (9 papers), Ion Channels and Receptors (5 papers) and Dermatology and Skin Diseases (4 papers). Qingjian Han is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Ion Channels and Receptors (5 papers) and Dermatology and Skin Diseases (4 papers). Qingjian Han collaborates with scholars based in China, United States and Portugal. Qingjian Han's co-authors include Ru‐Rong Ji, Temugin Berta, Gang Chen, Zhen‐Zhong Xu, Chul‐Kyu Park, Xing‐Jun Liu, Tong Liu, Ya Huang, Lin‐Xia Zhao and Yong‐Jing Gao and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Qingjian Han

22 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingjian Han China 11 290 247 164 110 87 26 737
Andi Wangzhou United States 16 547 1.9× 345 1.4× 357 2.2× 48 0.4× 122 1.4× 28 1.2k
John C. Dolan United States 19 420 1.4× 216 0.9× 212 1.3× 18 0.2× 87 1.0× 28 935
Hans Jürgen Solinski Germany 14 329 1.1× 296 1.2× 197 1.2× 212 1.9× 150 1.7× 21 796
Michael Namaka Canada 19 131 0.5× 297 1.2× 181 1.1× 24 0.2× 18 0.2× 36 895
Jianghui Meng Ireland 20 542 1.9× 259 1.0× 366 2.2× 404 3.7× 143 1.6× 40 1.5k
Jami L. Saloman United States 16 324 1.1× 223 0.9× 335 2.0× 14 0.1× 140 1.6× 38 992
Kiran Kumar Bali Germany 19 601 2.1× 397 1.6× 378 2.3× 11 0.1× 61 0.7× 26 1.2k
Diana Tavares‐Ferreira United States 8 214 0.7× 119 0.5× 135 0.8× 21 0.2× 40 0.5× 15 412
Karli Montague-Cardoso United Kingdom 10 208 0.7× 185 0.7× 151 0.9× 14 0.1× 23 0.3× 21 661
Zheng Chang United States 13 132 0.5× 214 0.9× 107 0.7× 9 0.1× 72 0.8× 23 643

Countries citing papers authored by Qingjian Han

Since Specialization
Citations

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

Fields of papers citing papers by Qingjian Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingjian Han. 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 Qingjian Han. The network helps show where Qingjian Han may publish in the future.

Co-authorship network of co-authors of Qingjian Han

This figure shows the co-authorship network connecting the top 25 collaborators of Qingjian Han. A scholar is included among the top collaborators of Qingjian Han 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 Qingjian Han. Qingjian Han 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.
Gao, P., et al.. (2025). Genetic Variation A118G in the OPRM1 Gene Underlies the Dimorphic Response to Epidural Opioid-Induced Itch. Neuroscience Bulletin. 41(12). 2272–2284. 1 indexed citations
3.
Sun, Shuang, Chi Ma, Wei Zhang, et al.. (2025). Optimizing fertilizer and planting density to stabilize yields and improve water use efficiency in rain-fed wheat–maize rotations. European Journal of Agronomy. 173. 127916–127916.
4.
Han, Qingjian, Yan Xu, Huiling Zhang, et al.. (2025). Extracellular vesicles-delivered circDB promotes ischemic muscle repair through the miR-34a/USP7/Notch1 signaling pathway. Regenerative Therapy. 30. 616–628.
5.
Zhou, Bin, Wu B, Wenqing Zhang, et al.. (2024). Effects of nasal allergens and environmental particulate matter on brainstem metabolites and the consequence of brain-spleen axis in allergic rhinitis. Environment International. 190. 108890–108890. 3 indexed citations
6.
Yang, Huan, Yunyun Wang, Yan‐Wei Xiang, et al.. (2024). Primary sensory neuron-derived miR-let-7b underlies stress-elicited psoriasis. Brain Behavior and Immunity. 123. 997–1010. 1 indexed citations
7.
Wang, Jingyuan, et al.. (2023). Hippo Pathway in Schwann Cells and Regeneration of Peripheral Nervous System. Developmental Neuroscience. 45(5). 276–289. 4 indexed citations
8.
Tong, Fang, Shuai Liu, Chen Zhang, et al.. (2023). Ash1L ameliorates psoriasis via limiting neuronal activity‐dependent release of miR‐let‐7b. British Journal of Pharmacology. 181(7). 1107–1127. 8 indexed citations
9.
Pu, Shaofeng, Yi‐Yang Wu, Qingjian Han, et al.. (2022). Ultrasound-Guided Extraforaminal Thoracic Nerve Root Block Through the Midpoint of the Inferior Articular Process and the Parietal Pleura: A Clinical Application of Thoracic Paravertebral Nerve Block. SHILAP Revista de lepidopterología. 6 indexed citations
10.
Luo, Hao, Ran Guo, Hui Wu, et al.. (2022). GPR177 in A-fiber sensory neurons drives diabetic neuropathic pain via WNT-mediated TRPV1 activation. Science Translational Medicine. 14(639). eabh2557–eabh2557. 50 indexed citations
11.
Pu, Shaofeng, Yi‐Yang Wu, Fang Tong, et al.. (2022). Mechanosensitive Ion Channel TMEM63A Gangs Up with Local Macrophages to Modulate Chronic Post-amputation Pain. Neuroscience Bulletin. 39(2). 177–193. 15 indexed citations
12.
Ouyang, Chen, et al.. (2022). Mechanisms and treatments of neuropathic itch in a mouse model of lymphoma. Journal of Clinical Investigation. 133(4). 14 indexed citations
13.
Xu, Kailiang, et al.. (2021). Non-contrast-enhanced ultrafast ultrasound Doppler imaging of spinal cord micro-vessels. Acta Physica Sinica. 70(11). 114304–114304. 13 indexed citations
14.
Pu, Shaofeng, Junzhen Wu, Qingjian Han, et al.. (2020). <p>Ultrasonography-Guided Radiofrequency Ablation for Painful Stump Neuromas to Relieve Postamputation Pain: A Pilot Study</p>. Journal of Pain Research. Volume 13. 3437–3445. 10 indexed citations
15.
Bang, Sangsu, Jiho Yoo, Xingrui Gong, et al.. (2018). Differential Inhibition of Nav1.7 and Neuropathic Pain by Hybridoma-Produced and Recombinant Monoclonal Antibodies that Target Nav1.7. Neuroscience Bulletin. 34(1). 22–41. 20 indexed citations
16.
Wei, Dan, Nannan Gao, Lei Li, et al.. (2017). α-Tubulin Acetylation Restricts Axon Overbranching by Dampening Microtubule Plus-End Dynamics in Neurons. Cerebral Cortex. 28(9). 3332–3346. 48 indexed citations
17.
Han, Qingjian, Yong Ho Kim, Xiaoming Wang, et al.. (2016). SHANK3 Deficiency Impairs Heat Hyperalgesia and TRPV1 Signaling in Primary Sensory Neurons. Neuron. 92(6). 1279–1293. 113 indexed citations
18.
Liu, Tong, Qingjian Han, Gang Chen, et al.. (2015). Toll-like receptor 4 contributes to chronic itch, alloknesis, and spinal astrocyte activation in male mice. Pain. 157(4). 806–817. 108 indexed citations
19.
Park, Chul‐Kyu, Zhen‐Zhong Xu, Temugin Berta, et al.. (2014). Extracellular MicroRNAs Activate Nociceptor Neurons to Elicit Pain via TLR7 and TRPA1. Neuron. 82(1). 47–54. 242 indexed citations
20.
Han, Qingjian, Nannan Gao, Zhen‐Ning Zhang, et al.. (2012). IPP5 inhibits neurite growth in primary sensory neurons by maintaining TGF- /Smad signaling. Journal of Cell Science. 126(2). 542–553. 8 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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