Jiang‐Ti Kong

1.6k total citations
28 papers, 765 citations indexed

About

Jiang‐Ti Kong is a scholar working on Pharmacology, Complementary and alternative medicine and Cognitive Neuroscience. According to data from OpenAlex, Jiang‐Ti Kong has authored 28 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pharmacology, 13 papers in Complementary and alternative medicine and 11 papers in Cognitive Neuroscience. Recurrent topics in Jiang‐Ti Kong's work include Musculoskeletal pain and rehabilitation (17 papers), Acupuncture Treatment Research Studies (12 papers) and Pain Management and Placebo Effect (10 papers). Jiang‐Ti Kong is often cited by papers focused on Musculoskeletal pain and rehabilitation (17 papers), Acupuncture Treatment Research Studies (12 papers) and Pain Management and Placebo Effect (10 papers). Jiang‐Ti Kong collaborates with scholars based in United States, United Kingdom and Switzerland. Jiang‐Ti Kong's co-authors include Sean Mackey, Kevin A. Johnson, Julia Megan Webb, Márk Vangel, Randy L. Gollub, Jian Kong, Kenneth K. Kwong, John C. Boothroyd, Lyle Uyetake and Michael E. Grigg and has published in prestigious journals such as NeuroImage, The Journal of Infectious Diseases and Human Brain Mapping.

In The Last Decade

Jiang‐Ti Kong

27 papers receiving 751 citations

Peers

Jiang‐Ti Kong

CAM

PHARM

PHYSI

PMH

Marcelo Rodrigues Masruha Brazil

G. Yosipovitch United States

Antonio Carlos da Silva Brazil

David M. Kietrys United States

Stephan König Germany

Graziella Quattrocchi Italy

Eileen Chusid United States

Luca Santelli Italy

Marco Orsini Brazil

Ambar Chakravarty India

Marcelo Rodrigues Masruha Brazil

Jiang‐Ti Kong

10 ×0.0

CAM

54 ×0.2

60 ×0.3

PHARM

118 ×0.7

PHYSI

394 ×2.5

PMH

Citations per year, relative to Jiang‐Ti Kong Jiang‐Ti Kong (= 1×) peers Marcelo Rodrigues Masruha

Countries citing papers authored by Jiang‐Ti Kong

Since Specialization

Citations

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

Fields of papers citing papers by Jiang‐Ti Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiang‐Ti Kong. 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 Jiang‐Ti Kong. The network helps show where Jiang‐Ti Kong may publish in the future.

Co-authorship network of co-authors of Jiang‐Ti Kong

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

All Works

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20 of 20 papers shown

Rodríguez, Samuel, et al.. (2025). Virtual reality improves pain threshold and recall in healthy adults: A randomized, crossover study. Journal of Clinical Anesthesia. 103. 111816–111816. 1 indexed citations

Talmon, Anat, Maisa S. Ziadni, Jiang‐Ti Kong, et al.. (2022). Intensity of Chronic Low Back Pain and Activity Interference: A Daily Diary Study of the Moderating Role of Cognitive Pain Coping Strategies. Pain Medicine. 24(4). 442–450. 4 indexed citations

Mackey, Sean, Gadi Gilam, Beth D. Darnall, et al.. (2022). Mindfulness-Based Stress Reduction, Cognitive Behavioral Therapy, and Acupuncture in Chronic Low Back Pain: Protocol for Two Linked Randomized Controlled Trials. JMIR Research Protocols. 11(9). e37823–e37823. 4 indexed citations

Taylor‐Swanson, Lisa, Robert T. Davis, Richard E. Harris, et al.. (2021). Turning Point: A Review of Key Research and Engagement in 2021. The Journal of Alternative and Complementary Medicine. 27(12). 1018–1022. 1 indexed citations

Kong, Jiang‐Ti, Dokyoung S. You, Christine Law, et al.. (2021). Association between temporal summation and conditioned pain modulation in chronic low back pain: baseline results from 2 clinical trials. PAIN Reports. 6(4). e975–e975. 11 indexed citations

Kong, Jiang‐Ti. (2020). Electroacupuncture for Treating Chronic Low-Back Pain: Preliminary Research Results. Medical Acupuncture. 32(6). 396–397. 2 indexed citations

Mao, Jun J., Robert T. Davis, Remy R Coeytaux, et al.. (2019). Acupuncture for Chronic Low Back Pain: Recommendations to Medicare/Medicaid from the Society for Acupuncture Research. The Journal of Alternative and Complementary Medicine. 25(4). 367–369. 11 indexed citations

Kong, Jiang‐Ti, Epifanio Bagarinao, Richard A. Olshen, & Sean Mackey. (2019). <p>Novel Characterization Of Thermal Temporal Summation Response By Analysis Of Continuous Pain Vs Time Curves And Exploratory Modeling</p>. Journal of Pain Research. Volume 12. 3231–3244. 6 indexed citations

Kong, Jiang‐Ti. (2018). Exploring the Multiple Roles of Acupuncture in Alleviating the Opioid Crisis. The Journal of Alternative and Complementary Medicine. 24(4). 304–306. 6 indexed citations

10.

Kong, Jiang‐Ti, Amanda Ng, Christine Law, et al.. (2018). Central mechanisms of real and sham electroacupuncture in the treatment of chronic low back pain: study protocol for a randomized, placebo-controlled clinical trial. Trials. 19(1). 685–685. 8 indexed citations

11.

Kong, Jiang‐Ti, et al.. (2018). Advancing Transcranial Magnetic Stimulation Methods for Complex Regional Pain Syndrome: An Open-Label Study of Paired Theta Burst and High-Frequency Stimulation. Neuromodulation Technology at the Neural Interface. 21(4). 409–416. 25 indexed citations

12.

Mackey, Ian, et al.. (2017). Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing. Journal of Visualized Experiments. 35 indexed citations

13.

Mackey, Ian, et al.. (2017). Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing. Journal of Visualized Experiments. 17 indexed citations

14.

MacPherson, Hugh, Richard Hammerschlag, Remy R Coeytaux, et al.. (2016). Unanticipated Insights into Biomedicine from the Study of Acupuncture. The Journal of Alternative and Complementary Medicine. 22(2). 101–107. 32 indexed citations

15.

Langevin, Hélène M., Rosa N. Schnyer, Hugh MacPherson, et al.. (2015). Manual and Electrical Needle Stimulation in Acupuncture Research: Pitfalls and Challenges of Heterogeneity. The Journal of Alternative and Complementary Medicine. 21(3). 113–128. 95 indexed citations

16.

Davis, Robert T., et al.. (2015). Acupuncture for Pediatric Conditions: A Narrative Review. Medical Acupuncture. 27(6). 420–431. 3 indexed citations

17.

Kong, Jiang‐Ti, et al.. (2014). Conditioned pain modulation is minimally influenced by cognitive evaluation or imagery of the conditioning stimulus. Journal of Pain Research. 7. 689–689. 14 indexed citations

18.

Kong, Jian, Ted J. Kaptchuk, Julia Megan Webb, et al.. (2007). Functional neuroanatomical investigation of vision‐related acupuncture point specificity—A multisession fMRI study. Human Brain Mapping. 30(1). 38–46. 81 indexed citations

19.

Kong, Jian, Randy L. Gollub, Julia Megan Webb, et al.. (2006). Test–retest study of fMRI signal change evoked by electroacupuncture stimulation. NeuroImage. 34(3). 1171–1181. 110 indexed citations

20.

Kong, Jiang‐Ti, Michael E. Grigg, Lyle Uyetake, Stephen Parmley, & John C. Boothroyd. (2003). Serotyping of Toxoplasma gondii infections in Humans Using Synthetic Peptides. The Journal of Infectious Diseases. 187(9). 1484–1495. 108 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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