Chaoling Qu

1.9k total citations
29 papers, 1.5k citations indexed

About

Chaoling Qu is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Chaoling Qu has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Physiology, 21 papers in Cellular and Molecular Neuroscience and 12 papers in Cognitive Neuroscience. Recurrent topics in Chaoling Qu's work include Pain Mechanisms and Treatments (27 papers), Neuropeptides and Animal Physiology (10 papers) and Pain Management and Placebo Effect (8 papers). Chaoling Qu is often cited by papers focused on Pain Mechanisms and Treatments (27 papers), Neuropeptides and Animal Physiology (10 papers) and Pain Management and Placebo Effect (8 papers). Chaoling Qu collaborates with scholars based in United States, China and United Kingdom. Chaoling Qu's co-authors include Frank Porreca, Alec Okun, Edita Navratilova, Tamara King, Jennifer Y. Xie, Jing‐Shi Tang, Howard L. Fields, Fu‐Quan Huo, Michael H. Ossipov and Josephine Lai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Chaoling Qu

29 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoling Qu United States 21 1.1k 759 391 323 196 29 1.5k
Alec Okun United States 13 869 0.8× 547 0.7× 314 0.8× 208 0.6× 210 1.1× 14 1.3k
J. Lianne Leith United Kingdom 10 782 0.7× 415 0.5× 258 0.7× 259 0.8× 228 1.2× 11 1.2k
Fani Neto Portugal 23 791 0.7× 631 0.8× 159 0.4× 300 0.9× 193 1.0× 46 1.3k
Hiroki Imbe Japan 23 995 0.9× 769 1.0× 330 0.8× 202 0.6× 168 0.9× 48 1.8k
Jeong Seok Han United States 14 1.1k 1.0× 859 1.1× 428 1.1× 228 0.7× 270 1.4× 17 1.7k
Ruth Drdla-Schutting Austria 12 1.1k 1.0× 692 0.9× 141 0.4× 378 1.2× 185 0.9× 17 1.4k
Pamela E. Paulson United States 17 768 0.7× 1.0k 1.3× 505 1.3× 481 1.5× 256 1.3× 18 1.9k
Ian D. Hentall United States 19 1.0k 1.0× 961 1.3× 431 1.1× 284 0.9× 165 0.8× 54 1.7k
Ming‐Gang Liu China 22 569 0.5× 562 0.7× 271 0.7× 334 1.0× 127 0.6× 36 1.2k
Yun‐Qing Li China 21 735 0.7× 644 0.8× 283 0.7× 296 0.9× 107 0.5× 34 1.3k

Countries citing papers authored by Chaoling Qu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoling Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoling Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoling Qu. A scholar is included among the top collaborators of Chaoling Qu 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 Chaoling Qu. Chaoling Qu 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.
Navratilova, Edita, Chaoling Qu, Guangchen Ji, et al.. (2023). Opposing Effects on Descending Control of Nociception by µ and κ Opioid Receptors in the Anterior Cingulate Cortex. Anesthesiology. 140(2). 272–283. 11 indexed citations
2.
Qu, Chaoling, et al.. (2021). Decreased dopaminergic inhibition of pyramidal neurons in anterior cingulate cortex maintains chronic neuropathic pain. Cell Reports. 37(9). 109933–109933. 35 indexed citations
3.
Moutal, Aubin, Xiaofang Yang, Wennan Li, et al.. (2017). CRISPR/Cas9 editing of Nf1 gene identifies CRMP2 as a therapeutic target in neurofibromatosis type 1-related pain that is reversed by (S)-Lacosamide. Pain. 158(12). 2301–2319. 63 indexed citations
4.
Wei, Lai, Yuanmei Zhu, Yuxiang Zhang, et al.. (2016). Activation of α 1 adrenoceptors in ventrolateral orbital cortex attenuates allodynia induced by spared nerve injury in rats. Neurochemistry International. 99. 85–93. 18 indexed citations
5.
Navratilova, Edita, Jennifer Y. Xie, Diana Meske, et al.. (2015). Endogenous Opioid Activity in the Anterior Cingulate Cortex Is Required for Relief of Pain. Journal of Neuroscience. 35(18). 7264–7271. 156 indexed citations
8.
Xie, Jennifer Y., Chaoling Qu, Amol Patwardhan, et al.. (2014). Activation of mesocorticolimbic reward circuits for assessment of relief of ongoing pain: A potential biomarker of efficacy. Pain. 155(8). 1659–1666. 66 indexed citations
9.
Zhao, Yan, Bo Xing, Yonghui Dang, et al.. (2013). Microinjection of Valproic Acid into the Ventrolateral Orbital Cortex Enhances Stress-Related Memory Formation. PLoS ONE. 8(1). e52698–e52698. 34 indexed citations
10.
Xu, Wenjin, Yan Zhao, Chaoling Qu, et al.. (2013). The role of α2 adrenoceptor in mediating noradrenaline action in the ventrolateral orbital cortex on allodynia following spared nerve injury. Experimental Neurology. 248. 381–386. 20 indexed citations
11.
Navratilova, Edita, Jennifer Y. Xie, Alec Okun, et al.. (2012). Pain relief produces negative reinforcement through activation of mesolimbic reward–valuation circuitry. Proceedings of the National Academy of Sciences. 109(50). 20709–20713. 249 indexed citations
12.
King, Tamara, Chaoling Qu, Alec Okun, et al.. (2012). Contribution of PKMζ-dependent and independent amplification to components of experimental neuropathic pain. Pain. 153(6). 1263–1273. 44 indexed citations
13.
Qu, Chaoling, Tamara King, Alec Okun, et al.. (2011). Lesion of the rostral anterior cingulate cortex eliminates the aversiveness of spontaneous neuropathic pain following partial or complete axotomy. Pain. 152(7). 1641–1648. 180 indexed citations
14.
King, Tamara, et al.. (2011). Contribution of afferent pathways to nerve injury-induced spontaneous pain and evoked hypersensitivity. Pain. 152(9). 1997–2005. 79 indexed citations
15.
Dang, Yonghui, Bo Xing, Yan Zhao, et al.. (2011). The role of dopamine receptors in ventrolateral orbital cortex-evoked antinociception in a rat formalin test model. European Journal of Pharmacology. 657(1-3). 97–103. 26 indexed citations
16.
Huo, Fu‐Quan, Bochang Lv, Tao Chen, et al.. (2010). Activation of serotonin 1A receptors in ventrolateral orbital cortex depresses persistent nociception: A presynaptic inhibition mechanism. Neurochemistry International. 57(7). 749–755. 26 indexed citations
17.
Tang, Jing‐Shi, Chaoling Qu, & Fu‐Quan Huo. (2009). The thalamic nucleus submedius and ventrolateral orbital cortex are involved in nociceptive modulation: A novel pain modulation pathway. Progress in Neurobiology. 89(4). 383–389. 93 indexed citations
18.
Huo, Fu‐Quan, Chaoling Qu, Yun-Qing Li, Jing‐Shi Tang, & Hong Jia. (2008). GABAergic modulation is involved in the ventrolateral orbital cortex 5-HT1A receptor activation-induced antinociception in the rat. Pain. 139(2). 398–405. 37 indexed citations
19.
20.
Qu, Chaoling, Jing‐Shi Tang, & Hong Jia. (2006). Involvement of GABAergic modulation of antinociception induced by morphine microinjected into the ventrolateral orbital cortex. Brain Research. 1073-1074. 281–289. 30 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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