Jason H. Ko

3.7k total citations · 2 hit papers
88 papers, 2.5k citations indexed

About

Jason H. Ko is a scholar working on Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason H. Ko has authored 88 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Surgery, 21 papers in Cellular and Molecular Neuroscience and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason H. Ko's work include Nerve Injury and Rehabilitation (30 papers), Orthopedic Surgery and Rehabilitation (19 papers) and Nerve injury and regeneration (19 papers). Jason H. Ko is often cited by papers focused on Nerve Injury and Rehabilitation (30 papers), Orthopedic Surgery and Rehabilitation (19 papers) and Nerve injury and regeneration (19 papers). Jason H. Ko collaborates with scholars based in United States, China and Philippines. Jason H. Ko's co-authors include Gregory A. Dumanian, Todd Kuiken, Jason M. Souza, Jennifer E. Cheesborough, Mitchell A. Pet, Sumanas W. Jordan, Lauren M. Mioton, Ian L. Valerio, Benjamin K. Potter and Mickey S. Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Journal of Neurophysiology.

In The Last Decade

Jason H. Ko

75 papers receiving 2.4k citations

Hit Papers

Targeted Muscle Reinnervation Treats Neuroma and Phantom ... 2018 2026 2020 2023 2018 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason H. Ko United States 25 1.4k 733 697 558 416 88 2.5k
Ian L. Valerio United States 26 1.5k 1.1× 440 0.6× 630 0.9× 598 1.1× 447 1.1× 150 2.5k
Scott M. Tintle United States 20 835 0.6× 197 0.3× 247 0.4× 179 0.3× 236 0.6× 90 1.3k
Hans‐Eberhard Schaller Germany 24 1.0k 0.7× 510 0.7× 152 0.2× 52 0.1× 464 1.1× 110 1.8k
Katherine B. Santosa United States 23 1.1k 0.8× 545 0.7× 117 0.2× 168 0.3× 85 0.2× 62 1.8k
J. Henk Coert Netherlands 20 808 0.6× 286 0.4× 148 0.2× 55 0.1× 102 0.2× 56 1.3k
Toshihiko Taguchi Japan 34 2.7k 2.0× 154 0.2× 296 0.4× 65 0.1× 77 0.2× 223 4.3k
Ivica Dučić United States 30 1.9k 1.4× 124 0.2× 57 0.1× 105 0.2× 267 0.6× 68 2.6k
Robert Goodkin United States 27 1.4k 1.0× 291 0.4× 126 0.2× 68 0.1× 99 0.2× 70 2.4k
J Kew Hong Kong 19 428 0.3× 191 0.3× 166 0.2× 118 0.2× 77 0.2× 40 1.8k
Lynda J.‐S. Yang United States 26 1.3k 0.9× 275 0.4× 138 0.2× 32 0.1× 96 0.2× 111 1.9k

Countries citing papers authored by Jason H. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jason H. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason H. Ko. 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 Jason H. Ko. The network helps show where Jason H. Ko may publish in the future.

Co-authorship network of co-authors of Jason H. Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jason H. Ko. A scholar is included among the top collaborators of Jason H. Ko 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 Jason H. Ko. Jason H. Ko 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.
Chappell, Ava G., et al.. (2025). Targeted Muscle Reinnervation—an Up-to-Date Review: Evidence, Indications, and Technique. Archives of Plastic Surgery. 52(3). 153–168. 1 indexed citations
2.
Herzog, Isabel, et al.. (2025). Artificial Intelligence–driven Innovation: Patent and Publication Analysis of ChatGPT-generated Ideas for Upper Extremity Prosthetics. Plastic & Reconstructive Surgery Global Open. 13(11). e7309–e7309.
3.
Dy, Christopher J., Bryan J. Loeffler, Mihir J. Desai, et al.. (2024). Variation in Recommended Treatment Strategies Among American Surgeons for Actual Adult Traumatic Brachial Plexus Injury Cases. The Journal Of Hand Surgery. 50(9). 1131.e1–1131.e9.
4.
Sergesketter, Amanda R., Ronnie L. Shammas, Kyle R. Eberlin, et al.. (2024). Preference Signaling and the Integrated Plastic Surgery Match: A National Survey Study. Journal of surgical education. 81(5). 662–670. 8 indexed citations
5.
Sassu, Paolo, Aidan D. Roche, Andrew Hart, et al.. (2024). Regenerative Peripheral Nerve Interface: Surgical Protocol for a Randomized Controlled Trial in Postamputation Pain. Journal of Visualized Experiments. 2 indexed citations
6.
Boctor, Michael J, et al.. (2023). Targeted muscle reinnervation in above knee amputation: surgical technique. Neurosurgical Focus Video. 8(1). V12–V12.
7.
Chappell, Ava G., et al.. (2023). Vascularized Bone Graft Reconstruction for Upper Extremity Defects: A Review. Archives of Plastic Surgery. 50(1). 82–95. 14 indexed citations
9.
Ko, Jason H., et al.. (2022). Routes to Residency: A National Survey Demonstrating the Pathways to Become a Plastic Surgeon. Plastic & Reconstructive Surgery Global Open. 10(2). e4143–e4143. 1 indexed citations
10.
Sergesketter, Amanda R., Ronnie L. Shammas, Kyle R. Eberlin, et al.. (2021). Predicting Academic Performance during Plastic Surgery Residency: Can Step 2 Scores Reliably Replace Step 1?. Journal of surgical education. 79(3). 828–836. 11 indexed citations
11.
Butler, Bennet A., et al.. (2021). Calcaneal Reconstruction With Femoral Head Allograft Vascularized by an Osteocutaneous Medial Femoral Condyle Flap. JBJS Case Connector. 11(4). 7 indexed citations
12.
Hassan, Abbas M., et al.. (2021). Outcomes of Tibial Nerve Repair and Transfer: A Structured Evidence-Based Systematic Review and Meta-Analysis. The Journal of Foot & Ankle Surgery. 60(6). 1280–1289. 9 indexed citations
13.
Franz, Colin K., Jason H. Ko, James M. Walter, et al.. (2020). Imaging Review of Peripheral Nerve Injuries in Patients with COVID-19. Radiology. 298(3). E117–E130. 45 indexed citations
14.
Rydberg, Leslie, Lisa F. Wolfe, Swati Deshmukh, et al.. (2020). Injury-prone: peripheral nerve injuries associated with prone positioning for COVID-19-related acute respiratory distress syndrome. British Journal of Anaesthesia. 125(6). e478–e480. 73 indexed citations
15.
Wallace, S.J., Lauren M. Mioton, Robert M. Havey, Muturi Muriuki, & Jason H. Ko. (2019). Biomechanical Properties of a Novel Mesh Suture in a Cadaveric Flexor Tendon Repair Model. The Journal Of Hand Surgery. 44(3). 208–215. 13 indexed citations
16.
Pet, Mitchell A. & Jason H. Ko. (2019). Indications for Replantation and Revascularization in the Hand. Hand Clinics. 35(2). 119–130. 21 indexed citations
17.
Pet, Mitchell A., Shane D. Morrison, Erika D. Sears, et al.. (2016). Comparison of patient-reported outcomes after traumatic upper extremity amputation: Replantation versus prosthetic rehabilitation. Injury. 47(12). 2783–2788. 36 indexed citations
19.
Ko, Jason H.. (2009). Abdominal Wall Reconstruction. Archives of Surgery. 144(11). 1047–1047. 136 indexed citations
20.
Ko, Jason H., Joel Ross, Hani A. Awad, Herbert I. Hurwitz, & Bruce Klitzman. (2005). The Effects of ZD6474, an Inhibitor of VEGF Signaling, on Cutaneous Wound Healing in Mice1. Journal of Surgical Research. 129(2). 251–259. 31 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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