David Pang

2.6k total citations
66 papers, 1.9k citations indexed

About

David Pang is a scholar working on Pharmacology, Anesthesiology and Pain Medicine and Molecular Biology. According to data from OpenAlex, David Pang has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pharmacology, 20 papers in Anesthesiology and Pain Medicine and 18 papers in Molecular Biology. Recurrent topics in David Pang's work include Pain Management and Treatment (20 papers), Musculoskeletal pain and rehabilitation (16 papers) and Ion channel regulation and function (8 papers). David Pang is often cited by papers focused on Pain Management and Treatment (20 papers), Musculoskeletal pain and rehabilitation (16 papers) and Ion channel regulation and function (8 papers). David Pang collaborates with scholars based in United States, United Kingdom and Canada. David Pang's co-authors include F. Norman Briggs, Nick Sperelakis, R. John Solaro, Adnan Al‐Kaisy, Stefano Palmisani, Thomas E. Smith, Iris Smet, Jean‐Pierre Van Buyten, Teodor Goroszeniuk and William B. Weglicki and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Chemical Engineering Journal.

In The Last Decade

David Pang

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Pang United States 23 638 607 559 500 433 66 1.9k
Derek S. Damron United States 30 1.2k 1.9× 107 0.2× 107 0.2× 702 1.4× 374 0.9× 76 2.3k
Ya‐Qun Zhou China 31 946 1.5× 106 0.2× 338 0.6× 43 0.1× 1.2k 2.7× 79 2.6k
Elizabeth A. Kowaluk United States 32 1.0k 1.6× 44 0.1× 151 0.3× 325 0.7× 1.1k 2.5× 63 3.1k
Carmen Valenzuela Spain 30 1.7k 2.6× 139 0.2× 92 0.2× 1.4k 2.8× 223 0.5× 125 2.6k
Ti‐Zhi Su United States 15 809 1.3× 108 0.2× 212 0.4× 53 0.1× 703 1.6× 22 1.9k
R. Massingham Belgium 27 966 1.5× 64 0.1× 163 0.3× 316 0.6× 543 1.3× 86 2.1k
Shigetoshi Chiba Japan 24 1.5k 2.3× 58 0.1× 108 0.2× 1.6k 3.3× 887 2.0× 409 3.5k
Xiaona Du China 21 1.0k 1.6× 55 0.1× 88 0.2× 260 0.5× 593 1.4× 82 1.8k
Haitao Hu China 26 584 0.9× 26 0.0× 143 0.3× 194 0.4× 302 0.7× 82 1.8k
Koroku Hashimoto Japan 20 515 0.8× 61 0.1× 110 0.2× 754 1.5× 291 0.7× 152 1.6k

Countries citing papers authored by David Pang

Since Specialization
Citations

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

Fields of papers citing papers by David Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pang

This figure shows the co-authorship network connecting the top 25 collaborators of David Pang. A scholar is included among the top collaborators of David Pang 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 David Pang. David Pang 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.
Tang, Xiaoyan, Qiong Huang, David Pang, et al.. (2025). MXene-based soft robots with multi-stimulus response and energy storage. Chemical Engineering Journal. 510. 161883–161883. 2 indexed citations
2.
Pang, David, et al.. (2023). A single infusion of intravenous lidocaine for primary headaches and trigeminal neuralgia: a retrospective analysis. Frontiers in Neurology. 14. 1202426–1202426. 1 indexed citations
3.
Evans, D. Gareth, David Pang, Nicolas Champollion, et al.. (2022). ERN GENTURIS clinical practice guidelines for the diagnosis, treatment, management and surveillance of people with schwannomatosis. European Journal of Human Genetics. 30(7). 812–817. 16 indexed citations
4.
Pang, David & Keyoumars Ashkan. (2022). Deep brain stimulation for phantom limb pain. European Journal of Paediatric Neurology. 39. 96–102. 2 indexed citations
5.
Malik, Khalid Mahmood, et al.. (2021). Is Preexisting Cervical Degeneration a Risk Factor for Poor Prognosis in Whiplash-Associated Disorder?. The International Journal of Spine Surgery. 15(4). 710–717. 2 indexed citations
6.
Al‐Kaisy, Adnan, Girish Vajramani, Sarah Love‐Jones, et al.. (2021). Multicentre, clinical trial of burst spinal cord stimulation for neck and upper limb pain NU-BURST: a trial protocol. Neurological Sciences. 42(8). 3285–3296. 1 indexed citations
7.
8.
Al‐Kaisy, Adnan, Ganesan Baranidharan, Stefano Palmisani, et al.. (2020). Comparison of Paresthesia Mapping to Anatomical Placement in Burst Spinal Cord Stimulation: Initial Trial Results of the Prospective, Multicenter, Randomized, Double-Blinded, Crossover, CRISP Study. Neuromodulation Technology at the Neural Interface. 23(5). 613–619. 15 indexed citations
9.
10.
Pang, David. (2016). Current experience of spinal neuromodulation in chronic pain: Is there a role in children and young people?. European Journal of Paediatric Neurology. 21(1). 56–66. 4 indexed citations
11.
Al‐Kaisy, Adnan, Stefano Palmisani, Thomas E. Smith, et al.. (2016). 10 kHz High-Frequency Spinal Cord Stimulation for Chronic Axial Low Back Pain in Patients With No History of Spinal Surgery: A Preliminary, Prospective, Open Label and Proof-of-Concept Study. Neuromodulation Technology at the Neural Interface. 20(1). 63–70. 53 indexed citations
12.
Pang, David, Mehul J. Desai, P. Priès, et al.. (2015). Failed back surgery syndrome: Who has failed?. Neurochirurgie. 61. S6–S14. 17 indexed citations
13.
Pang, David, et al.. (2014). Rancang Bangun Robot Pengantar Makanan Line follower. 3(1). 1–10. 10 indexed citations
14.
Goroszeniuk, Teodor & David Pang. (2014). Peripheral Neuromodulation: A Review. Current Pain and Headache Reports. 18(5). 412–412. 49 indexed citations
15.
Al‐Kaisy, Adnan, et al.. (2014). The Use of 10-Kilohertz Spinal Cord Stimulation in a Cohort of Patients With Chronic Neuropathic Limb Pain Refractory to Medical Management. Neuromodulation Technology at the Neural Interface. 18(1). 18–23. 56 indexed citations
16.
Al‐Kaisy, Adnan, Jean‐Pierre Van Buyten, Iris Smet, et al.. (2013). Sustained Effectiveness of 10 kHz High-Frequency Spinal Cord Stimulation for Patients with Chronic, Low Back Pain: 24-Month Results of a Prospective Multicenter Study. Pain Medicine. 15(3). 347–354. 243 indexed citations
17.
Goroszeniuk, Teodor, David Pang, Adnan Al‐Kaisy, & Karen Sanderson. (2011). Subcutaneous Target Stimulation–Peripheral Subcutaneous Field Stimulation in the Treatment of Refractory Angina: Preliminary Case Reports. Pain Practice. 12(1). 71–79. 11 indexed citations
18.
Cheung, David T., Suk Jung Choo, Albert Grobe, et al.. (1999). Behavior of vital and killed autologous pericardium in the descending aorta of sheep. Journal of Thoracic and Cardiovascular Surgery. 118(6). 998–1005. 23 indexed citations
19.
Pang, David & William B. Weglicki. (1977). Cardiac sarcolemma of the hamster. Enrichment of the (Na+ + K+)-ATPase. Biochimica et Biophysica Acta (BBA) - Biomembranes. 465(2). 411–414. 18 indexed citations
20.
Solaro, R. John, David Pang, & F. Norman Briggs. (1971). The purification of cardiac myofibrils with Triton X-100. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 245(1). 259–262. 361 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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