Jonathan M. Hagedorn

2.2k total citations
93 papers, 853 citations indexed

About

Jonathan M. Hagedorn is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Surgery. According to data from OpenAlex, Jonathan M. Hagedorn has authored 93 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Anesthesiology and Pain Medicine, 56 papers in Pharmacology and 27 papers in Surgery. Recurrent topics in Jonathan M. Hagedorn's work include Musculoskeletal pain and rehabilitation (55 papers), Pain Management and Treatment (53 papers) and Spine and Intervertebral Disc Pathology (18 papers). Jonathan M. Hagedorn is often cited by papers focused on Musculoskeletal pain and rehabilitation (55 papers), Pain Management and Treatment (53 papers) and Spine and Intervertebral Disc Pathology (18 papers). Jonathan M. Hagedorn collaborates with scholars based in United States, Spain and Netherlands. Jonathan M. Hagedorn's co-authors include Ryan S. D’Souza, Timothy R. Deer, Dawood Sayed, Alaa Abd‐Elsayed, Tim J. Lamer, Natalie Strand, Markus A. Bendel, Jay Karri, Joshua Romero and David W. Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Health and Quality of Life Outcomes and Clinical Journal of Pain.

In The Last Decade

Jonathan M. Hagedorn

89 papers receiving 829 citations

Peers

Jonathan M. Hagedorn
David M. Schultz United States
Marc A. Huntoon United States
Joshua P. Prager United States
Shihab Ahmed United States
Yong Chul Kim South Korea
Dawood Sayed United States
Jan Dobrogowski Poland
E. Reig Spain
Christophe Perruchoud Switzerland
George Groeneweg Netherlands
David M. Schultz United States
Jonathan M. Hagedorn
Citations per year, relative to Jonathan M. Hagedorn Jonathan M. Hagedorn (= 1×) peers David M. Schultz

Countries citing papers authored by Jonathan M. Hagedorn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Hagedorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Hagedorn. 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 Jonathan M. Hagedorn. The network helps show where Jonathan M. Hagedorn may publish in the future.

Co-authorship network of co-authors of Jonathan M. Hagedorn

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Hagedorn. A scholar is included among the top collaborators of Jonathan M. Hagedorn 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 Jonathan M. Hagedorn. Jonathan M. Hagedorn 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.
Dickerson, David, Hemant Kalia, Kevin E. Vorenkamp, et al.. (2024). Cost Savings in Chronic Pain Patients Initiating Peripheral Nerve Stimulation (PNS) with a 60-Day PNS Treatment. Pain and Therapy. 14(1). 269–282. 1 indexed citations
2.
Hagedorn, Jonathan M., Usman Latif, Nomen Azeem, et al.. (2024). Posterior Lateral Arthrodesis as a Treatment Option for Lumbar Spinal Stenosis: Safety and Early Clinical Outcomes. Journal of Pain Research. Volume 17. 107–116.
3.
Sayed, Dawood, Timothy R. Deer, Vinicius Tieppo Francio, et al.. (2024). American Society of Pain and Neuroscience Best Practice (ASPN) Guideline for the Treatment of Sacroiliac Disorders. Journal of Pain Research. Volume 17. 1601–1638. 4 indexed citations
4.
Strand, Natalie, Ryan S. D’Souza, Jay Karri, et al.. (2023). Medical Cannabis: A Review from the American Society of Pain and Neuroscience. Journal of Pain Research. Volume 16. 4217–4228. 7 indexed citations
5.
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
6.
Hagedorn, Jonathan M., et al.. (2023). Neuromodulation for the management of chronic pelvic pain syndromes: A systematic review. Pain Practice. 24(2). 321–340. 4 indexed citations
7.
Huygen, Frank, Jonathan M. Hagedorn, Steven Falowski, et al.. (2023). Core patient-reported outcome measures for chronic pain patients treated with spinal cord stimulation or dorsal root ganglia stimulation. Health and Quality of Life Outcomes. 21(1). 77–77. 1 indexed citations
8.
Desai, Mehul J., Jonathan M. Hagedorn, Natalie Strand, et al.. (2022). Social Media and Professional Conduct (SMART): Best Practice Guidelines from the American Society of Pain and Neuroscience (ASPN). Journal of Pain Research. Volume 15. 1669–1678. 8 indexed citations
9.
Deer, Timothy R., Jay S. Grider, Jason E. Pope, et al.. (2022). Best Practices for Minimally Invasive Lumbar Spinal Stenosis Treatment 2.0 (MIST): Consensus Guidance from the American Society of Pain and Neuroscience (ASPN). Journal of Pain Research. Volume 15. 1325–1354. 12 indexed citations
10.
Francio, Vinicius Tieppo, et al.. (2022). Factors involved in applicant interview selection and ranking for chronic pain medicine fellowship. Regional Anesthesia & Pain Medicine. 47(10). 592–597. 5 indexed citations
11.
12.
D’Souza, Ryan S., et al.. (2022). A Bibliometric Analysis of Top-Cited Journal Articles Related to Neuromodulation for Chronic Pain. Neuromodulation Technology at the Neural Interface. 26(8). 1510–1517. 1 indexed citations
13.
Lee, Jennifer M, et al.. (2022). Spinal Cord Stimulation in Special Populations: Best Practices from the American Society of Pain and Neuroscience to Improve Safety and Efficacy. Journal of Pain Research. Volume 15. 3263–3273. 4 indexed citations
14.
Abd‐Elsayed, Alaa, et al.. (2021). Intrathecal Baclofen Monotherapy and Polyanalgesia for Treating Chronic Pain in Patients with Severe Spasticity. Current Pain and Headache Reports. 25(12). 79–79. 7 indexed citations
15.
Hagedorn, Jonathan M., et al.. (2021). Effect of Patient Characteristics on Clinical Outcomes More Than 12 Months Following Dorsal Root Ganglion Stimulation Implantation: A Retrospective Review. Neuromodulation Technology at the Neural Interface. 24(4). 695–699. 9 indexed citations
16.
Bendel, Markus A., et al.. (2021). Skin Closure Technique and Postprocedural Pain after Spinal Cord Stimulator Implantation: A Retrospective Review. Pain Research and Management. 2021. 1–7. 2 indexed citations
17.
Schultz, David M., Vwaire Orhurhu, Faizan Khan, Jonathan M. Hagedorn, & Alaa Abd‐Elsayed. (2020). Patient Satisfaction Following Intrathecal Targeted Drug Delivery for Benign Chronic Pain: Results of a Single-Center Survey Study. Neuromodulation Technology at the Neural Interface. 23(7). 1009–1017. 8 indexed citations
18.
19.
Abejón, David, et al.. (2020). How to Restart the Interventional Activity in the COVID‐19 Era: The Experience of a Private Pain Unit in Spain. Pain Practice. 20(8). 820–828. 4 indexed citations
20.
Sayed, Dawood, Krishnan Chakravarthy, Kasra Amirdelfan, et al.. (2020). A Comprehensive Practice Guideline for Magnetic Resonance Imaging Compatibility in Implanted Neuromodulation Devices. Neuromodulation Technology at the Neural Interface. 23(7). 893–911. 29 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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