Kenneth B. Chapman

767 total citations
42 papers, 397 citations indexed

About

Kenneth B. Chapman is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Physiology. According to data from OpenAlex, Kenneth B. Chapman has authored 42 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Anesthesiology and Pain Medicine, 31 papers in Pharmacology and 15 papers in Physiology. Recurrent topics in Kenneth B. Chapman's work include Pain Management and Treatment (34 papers), Musculoskeletal pain and rehabilitation (31 papers) and Myofascial pain diagnosis and treatment (14 papers). Kenneth B. Chapman is often cited by papers focused on Pain Management and Treatment (34 papers), Musculoskeletal pain and rehabilitation (31 papers) and Myofascial pain diagnosis and treatment (14 papers). Kenneth B. Chapman collaborates with scholars based in United States, Netherlands and Canada. Kenneth B. Chapman's co-authors include Noud van Helmond, Kris Vissers, Michael Stanton‐Hicks, Kiran V. Patel, Timothy R. Deer, José Miguel Chatkin, Leandro Genehr Fritscher, Carlos Cézar Fritscher, Cláudio Corá Mottin and Ajax Yang and has published in prestigious journals such as Pain Medicine, Regional Anesthesia & Pain Medicine and Respiration.

In The Last Decade

Kenneth B. Chapman

39 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth B. Chapman United States 11 273 239 191 107 56 42 397
Meredith J. McGee United States 11 171 0.6× 123 0.5× 118 0.6× 27 0.3× 56 1.0× 17 334
Linda F. Dawson Australia 11 185 0.7× 131 0.5× 258 1.4× 40 0.4× 36 0.6× 13 406
Sarah Love‐Jones United Kingdom 9 166 0.6× 151 0.6× 111 0.6× 35 0.3× 32 0.6× 19 313
Meredith Barad United States 10 82 0.3× 101 0.4× 108 0.6× 32 0.3× 48 0.9× 26 348
J. Michael Henderson United States 8 151 0.6× 103 0.4× 109 0.6× 37 0.3× 80 1.4× 11 359
Kaare Meier Denmark 11 364 1.3× 289 1.2× 213 1.1× 58 0.5× 36 0.6× 34 514
Maria E. Bennett United States 11 220 0.8× 126 0.5× 98 0.5× 18 0.2× 155 2.8× 11 374
W. Porter McRoberts United States 10 272 1.0× 169 0.7× 168 0.9× 38 0.4× 53 0.9× 16 341
Frank van Eijs Netherlands 10 308 1.1× 265 1.1× 177 0.9× 94 0.9× 51 0.9× 13 386
James North United States 14 408 1.5× 319 1.3× 231 1.2× 41 0.4× 145 2.6× 23 685

Countries citing papers authored by Kenneth B. Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth B. Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth B. Chapman. 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 Kenneth B. Chapman. The network helps show where Kenneth B. Chapman may publish in the future.

Co-authorship network of co-authors of Kenneth B. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth B. Chapman. A scholar is included among the top collaborators of Kenneth B. Chapman 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 Kenneth B. Chapman. Kenneth B. Chapman 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.
Chapman, Kenneth B., et al.. (2025). Spinal cord stimulator utilization trends and predictors of unsuccessful trial-to-implant conversion. North American Spine Society Journal (NASSJ). 22. 100616–100616. 2 indexed citations
2.
Chapman, Kenneth B., Dawood Sayed, Tim J. Lamer, et al.. (2023). Best Practices for Dorsal Root Ganglion Stimulation for Chronic Pain: Guidelines from the American Society of Pain and Neuroscience. Journal of Pain Research. Volume 16. 839–879. 21 indexed citations
3.
Chapman, Kenneth B., et al.. (2023). Dorsal Root Ganglion Stimulation to Treat Chronic Shoulder Pain: A Case Report. A&A Practice. 17(11). e01718–e01718.
4.
Chapman, Kenneth B., et al.. (2022). Impact of lowering frequency of dorsal root ganglion stimulation on implantable pulse generator consumption. Regional Anesthesia & Pain Medicine. 48(1). 44–45. 2 indexed citations
5.
Chapman, Kenneth B., Noud van Helmond, Jan Willem Kallewaard, et al.. (2022). An Anatomy-Informed, Novel Technique for S1 Dorsal Root Ganglion Stimulation Lead Placement. Pain Medicine. 23(10). 1750–1756. 6 indexed citations
6.
Chapman, Kenneth B., Matthew A. Spiegel, Noud van Helmond, et al.. (2022). Dorsal Root Ganglion Stimulation as a Salvage Therapy Following Failed Spinal Cord Stimulation. Neuromodulation Technology at the Neural Interface. 25(7). 1024–1032. 11 indexed citations
7.
Chapman, Kenneth B., Alon Y. Mogilner, Ajax Yang, et al.. (2021). Lead migration and fracture rate in dorsal root ganglion stimulation using anchoring and non‐anchoring techniques: A multicenter pooled data analysis. Pain Practice. 21(8). 859–870. 15 indexed citations
8.
Deer, Timothy R., et al.. (2021). Teleprogramming Service Provides Safe and Remote Stimulation Options for Patients with DRG-S and SCS Implants. Journal of Pain Research. Volume 14. 3259–3265. 9 indexed citations
9.
Chapman, Kenneth B., et al.. (2021). Objective Improvements in Peripheral Arterial Disease from Dorsal Root Ganglion Stimulation: A Case Series. Annals of Vascular Surgery. 74. 519.e7–519.e16. 8 indexed citations
12.
Chapman, Kenneth B., et al.. (2020). Development and Performance of a Web-Based Tool to Adjust Urine Toxicology Testing Frequency: Retrospective Study. JMIR Medical Informatics. 8(4). e16069–e16069. 1 indexed citations
13.
Chapman, Kenneth B., et al.. (2020). Very Low Frequencies Maintain Pain Relief From Dorsal Root Ganglion Stimulation: An Evaluation of Dorsal Root Ganglion Neurostimulation Frequency Tapering. Neuromodulation Technology at the Neural Interface. 24(4). 746–752. 22 indexed citations
14.
Chapman, Kenneth B., et al.. (2020). The Pathways and Processes Underlying Spinal Transmission of Low Back Pain: Observations From Dorsal Root Ganglion Stimulation Treatment. Neuromodulation Technology at the Neural Interface. 24(4). 610–621. 39 indexed citations
15.
Chapman, Kenneth B., et al.. (2020). Opioid tapering following the transfer of care of outpatient chronic non-cancer pain patients on high-dose opioid therapy. Regional Anesthesia & Pain Medicine. 46(6). 535–536. 1 indexed citations
16.
17.
Helmond, Noud van, Wesley Day, & Kenneth B. Chapman. (2017). Continuing Anti-thrombotic Medication During Low-to-Intermediate Risk Spinal Procedures: A Retrospective Evaluation.. PubMed. 20(5). 437–443. 7 indexed citations
18.
Helmond, Noud van, et al.. (2017). Cervical Retrograde Spinal Cord Stimulation Lead Placement to Treat Failed Back Surgery Syndrome. A & A Case Reports. 8(12). 334–336. 3 indexed citations
19.
Chapman, Kenneth B., et al.. (2010). Percutaneous microdiscectomy versus epidural injection for management of chronic spinal pain.. PubMed. 53. 16–9. 10 indexed citations
20.
Fritscher, Leandro Genehr, et al.. (2007). Bariatric Surgery in the Treatment of Obstructive Sleep Apnea in Morbidly Obese Patients. Respiration. 74(6). 647–652. 52 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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