L. Q. Huang

4.5k total citations · 2 hit papers
37 papers, 3.3k citations indexed

About

L. Q. Huang is a scholar working on Cognitive Neuroscience, Physiology and Pharmacology. According to data from OpenAlex, L. Q. Huang has authored 37 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 18 papers in Physiology and 13 papers in Pharmacology. Recurrent topics in L. Q. Huang's work include Pain Mechanisms and Treatments (18 papers), Musculoskeletal pain and rehabilitation (13 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). L. Q. Huang is often cited by papers focused on Pain Mechanisms and Treatments (18 papers), Musculoskeletal pain and rehabilitation (13 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). L. Q. Huang collaborates with scholars based in United States, China and Canada. L. Q. Huang's co-authors include A. Vania Apkarian, Marwan N. Baliki, Thomas J. Schnitzer, Souraya Torbey, Bogdan Petre, Alex T. Baria, Javeria A. Hashmi, Howard L. Fields, Ali Mansour and Amelia Mutso and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

L. Q. Huang

36 papers receiving 3.3k citations

Hit Papers

Corticostriatal functiona... 2012 2026 2016 2021 2012 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Q. Huang United States 22 1.7k 1.4k 1.3k 628 427 37 3.3k
Paul Geha United States 23 2.2k 1.3× 1.9k 1.3× 1.7k 1.3× 700 1.1× 596 1.4× 40 4.3k
Marta Čeko United States 22 1.3k 0.8× 1.2k 0.9× 918 0.7× 735 1.2× 386 0.9× 35 3.1k
Souraya Torbey United States 8 1.1k 0.7× 880 0.6× 961 0.7× 423 0.7× 245 0.6× 14 2.1k
Javeria A. Hashmi Canada 19 1.1k 0.6× 1.1k 0.7× 850 0.7× 465 0.7× 195 0.5× 40 2.4k
Alex T. Baria United States 13 877 0.5× 974 0.7× 670 0.5× 333 0.5× 246 0.6× 14 1.9k
Michael Valet Germany 27 1.2k 0.7× 910 0.6× 556 0.4× 710 1.1× 292 0.7× 45 2.7k
Jieun Kim United States 34 880 0.5× 1.4k 0.9× 961 0.7× 1.1k 1.7× 128 0.3× 64 3.3k
David Scott United States 23 1.5k 0.9× 2.1k 1.4× 689 0.5× 922 1.5× 592 1.4× 53 3.9k
Sylvia M. Gustin Australia 29 1.2k 0.7× 669 0.5× 835 0.6× 383 0.6× 243 0.6× 76 2.7k
Maud Frot France 23 1.4k 0.8× 1.6k 1.1× 363 0.3× 514 0.8× 229 0.5× 39 2.7k

Countries citing papers authored by L. Q. Huang

Since Specialization
Citations

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

Fields of papers citing papers by L. Q. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Q. Huang. 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 L. Q. Huang. The network helps show where L. Q. Huang may publish in the future.

Co-authorship network of co-authors of L. Q. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of L. Q. Huang. A scholar is included among the top collaborators of L. Q. Huang 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 L. Q. Huang. L. Q. Huang 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.
Huang, Shishi, Andrew D. Vigotsky, A. Vania Apkarian, & L. Q. Huang. (2024). Body mass index associated with respiration predicts motion in resting‐state functional magnetic resonance imaging scans. Human Brain Mapping. 45(13). e70015–e70015.
2.
Huang, Qianqian, Bo Wu, Andrew D. Vigotsky, et al.. (2023). Immersive virtual reality-based rehabilitation for subacute stroke: a randomized controlled trial. Journal of Neurology. 271(3). 1256–1266. 19 indexed citations
3.
Huang, Qianqian, et al.. (2022). Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery. Frontiers in Neurology. 13. 780966–780966. 5 indexed citations
4.
Vigotsky, Andrew D., et al.. (2022). Limits of decoding mental states with fMRI. Cortex. 149. 101–122. 13 indexed citations
5.
Wakaizumi, Kenta, Binbin Wu, Shishi Huang, et al.. (2021). Momentary pain assessments reveal benefits of endoscopic discectomy: a prospective cohort study. PAIN Reports. 6(1). e906–e906. 1 indexed citations
6.
Abdullah, Taha, Binbin Wu, Bo Wu, et al.. (2020). Hippocampus shape deformation: a potential diagnostic biomarker for chronic back pain in women. Pain. 162(5). 1457–1467. 20 indexed citations
7.
Vachon‐Presseau, Étienne, Sara Berger, Taha Abdullah, et al.. (2018). Brain and psychological determinants of placebo pill response in chronic pain patients. Nature Communications. 9(1). 3397–3397. 76 indexed citations
8.
Petre, Bogdan, Pascal Tétreault, Vani A. Mathur, et al.. (2017). A central mechanism enhances pain perception of noxious thermal stimulus changes. Scientific Reports. 7(1). 3894–3894. 18 indexed citations
9.
Huang, L. Q., Jason J. Kutch, Benjamin M. Ellingson, et al.. (2016). Brain white matter changes associated with urological chronic pelvic pain syndrome: multisite neuroimaging from a MAPP case–control study. Pain. 157(12). 2782–2791. 36 indexed citations
10.
Farmer, Melissa A., L. Q. Huang, Katherine T. Martucci, et al.. (2015). Brain White Matter Abnormalities in Female Interstitial Cystitis/Bladder Pain Syndrome: A MAPP Network Neuroimaging Study. The Journal of Urology. 194(1). 118–126. 49 indexed citations
11.
Berger, Sara, Alexis T. Baria, Marwan N. Baliki, et al.. (2014). Risky monetary behavior in chronic back pain is associated with altered modular connectivity of the nucleus accumbens. BMC Research Notes. 7(1). 739–739. 44 indexed citations
12.
Mansour, Ali, Marwan N. Baliki, L. Q. Huang, et al.. (2013). Brain white matter structural properties predict transition to chronic pain. Pain. 154(10). 2160–2168. 201 indexed citations
13.
Baria, Alex T., Ali Mansour, L. Q. Huang, et al.. (2013). Linking human brain local activity fluctuations to structural and functional network architectures. NeuroImage. 73. 144–155. 65 indexed citations
14.
Farmer, Melissa A., L. Q. Huang, Samir Khalifé, et al.. (2013). Psychophysical properties of female genital sensation. Pain. 154(11). 2277–2286. 22 indexed citations
15.
Hashmi, Javeria A., Marwan N. Baliki, L. Q. Huang, et al.. (2012). Lidocaine Patch (5%) is No More Potent than Placebo in Treating Chronic Back Pain When Tested in a Randomised Double Blind Placebo Controlled Brain Imaging Study. Molecular Pain. 8. 29–29. 33 indexed citations
16.
Baliki, Marwan N., Bogdan Petre, Souraya Torbey, et al.. (2012). Corticostriatal functional connectivity predicts transition to chronic back pain. Nature Neuroscience. 15(8). 1117–1119. 790 indexed citations breakdown →
17.
Hashmi, Javeria A., Alex T. Baria, Marwan N. Baliki, et al.. (2012). Brain networks predicting placebo analgesia in a clinical trial for chronic back pain. Pain. 153(12). 2393–2402. 84 indexed citations
18.
Mutso, Amelia, Daniel Radzicki, Marwan N. Baliki, et al.. (2012). Abnormalities in Hippocampal Functioning with Persistent Pain. Journal of Neuroscience. 32(17). 5747–5756. 379 indexed citations
19.
Cecchi, Guillermo, L. Q. Huang, Javeria A. Hashmi, et al.. (2012). Predictive Dynamics of Human Pain Perception. PLoS Computational Biology. 8(10). e1002719–e1002719. 45 indexed citations
20.
Huang, L. Q., Xue Wang, Marwan N. Baliki, et al.. (2012). Reproducibility of Structural, Resting-State BOLD and DTI Data between Identical Scanners. PLoS ONE. 7(10). e47684–e47684. 26 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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