Stephen Lyman
About
Stephen Lyman is a scholar working on Surgery, Orthopedics and Sports Medicine and Epidemiology.
According to data from OpenAlex, Stephen Lyman has authored 243 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Surgery, 30 papers in Orthopedics and Sports Medicine and 25 papers in Epidemiology. Recurrent topics in Stephen Lyman's work include Total Knee Arthroplasty Outcomes (116 papers), Orthopaedic implants and arthroplasty (97 papers) and Orthopedic Infections and Treatments (51 papers). Stephen Lyman is often cited by papers focused on Total Knee Arthroplasty Outcomes (116 papers), Orthopaedic implants and arthroplasty (97 papers) and Orthopedic Infections and Treatments (51 papers). Stephen Lyman collaborates with scholars based in United States, Japan and United Kingdom. Stephen Lyman's co-authors include Robert G. Marx, James R. Andrews, Glenn S. Fleisig, Yuo-yu Lee, Douglas E. Padgett, Ting Pan, T. Huong, Robert G. Marx, Lisa A. Mandl and Russell F. Warren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and Journal of Bone and Joint Surgery.
In The Last Decade
Stephen Lyman
241 papers receiving 12.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Stephen Lyman United States | 62 | 10.5k | 3.3k | 2.6k | 934 | 927 | 243 | 13.1k | ||
| Jon A. Jacobson United States | 61 | 7.1k 0.7× | 2.8k 0.9× | 2.4k 0.9× | 846 0.9× | 1.1k 1.1× | 297 | 10.5k | ||
| Joshua D. Harris United States | 57 | 10.3k 1.0× | 3.0k 0.9× | 2.1k 0.8× | 1.3k 1.4× | 806 0.9× | 299 | 12.5k | ||
| Robert G. Marx United States | 50 | 10.7k 1.0× | 3.1k 0.9× | 3.4k 1.3× | 583 0.6× | 1.6k 1.7× | 184 | 12.1k | ||
| Brian C. Werner United States | 48 | 6.7k 0.6× | 1.6k 0.5× | 2.1k 0.8× | 392 0.4× | 505 0.5× | 377 | 7.8k | ||
| Nikhil N. Verma United States | 65 | 13.9k 1.3× | 3.5k 1.1× | 8.1k 3.2× | 830 0.9× | 1.3k 1.4× | 607 | 15.1k | ||
| Rob G. H. H. Nelissen Netherlands | 59 | 9.6k 0.9× | 1.6k 0.5× | 1.6k 0.6× | 1.3k 1.4× | 600 0.6× | 566 | 14.0k | ||
| Jill Dawson United Kingdom | 46 | 9.2k 0.9× | 1.4k 0.4× | 2.1k 0.8× | 835 0.9× | 481 0.5× | 144 | 13.3k | ||
| Benedict U. Nwachukwu United States | 49 | 7.0k 0.7× | 1.9k 0.6× | 1.3k 0.5× | 708 0.8× | 355 0.4× | 280 | 8.5k | ||
| Robert H. Brophy United States | 58 | 9.3k 0.9× | 4.5k 1.4× | 2.3k 0.9× | 1.5k 1.7× | 334 0.4× | 280 | 10.9k | ||
| Shane J. Nho United States | 64 | 12.7k 1.2× | 2.1k 0.6× | 2.7k 1.1× | 942 1.0× | 572 0.6× | 488 | 13.4k |
Countries citing papers authored by Stephen Lyman
Since
Specialization
Citations
This map shows the geographic impact of Stephen Lyman'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 Stephen Lyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Lyman more than expected).
Fields of papers citing papers by Stephen Lyman
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Stephen Lyman. 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 Stephen Lyman. The network helps show where Stephen Lyman may publish in the future.
Co-authorship network of co-authors of Stephen Lyman
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Lyman. A scholar is included among the top collaborators of Stephen Lyman 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 Stephen Lyman. Stephen Lyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Hamai, Satoshi, et al.. (2025). Age at Periacetabular Osteotomy Does Not Reduce the Likelihood of Excellent 20-Year Patient-Reported Outcomes in Native Hips: A K-Means Clustering Analysis. The Journal of Arthroplasty. 41(3). 659–667.e1.
2.
Ricciardi, Benjamin F., et al.. (2025). What Are the Minimum Clinically Important Difference, Substantial Clinical Benefit, and Patient-Acceptable Symptom State Thresholds for the Modified Harris Hip Score and International Hip Outcome Tool 12 Among Patients Who Undergo Periacetabular Osteotomy?. Clinical Orthopaedics and Related Research. 483(7). 1275–1285.
3.
Lyman, Stephen, Shuhan Wang, Michael K. Parides, et al.. (2025). Length of stay, pain and opioid consumption following manual versus robotic-assisted total hip arthroplasty. Journal of Orthopaedics. 70. 202–207.
4.
Gómez, José Manuel Naranjo, et al.. (2025). A History of Bariatric Surgery Negatively Affects the Rate of 90-Day Complications of Elective Primary Total Joint Arthroplasty: A Comparative Analyses of 2,979 Patients. The Journal of Arthroplasty. 40(7). S65–S68.
5.
Chiu, Yu-Fen, Stephen Lyman, Lisa A. Mandl, et al.. (2024). Is Preoperative Weight Reduction in Patients Who Have Body Mass Index ≥ 40 Associated With Lower Complication Rates After Primary Total Hip Arthroplasty?. The Journal of Arthroplasty. 39(9). S73–S79.
6.
Chiu, Yu-Fen, et al.. (2024). Robotics and Navigation Do Not Affect the Risk of Periprosthetic Joint Infection Following Primary Total Hip Arthroplasty. Journal of Bone and Joint Surgery. 106(7). 582–589.
7.
Chiu, Yu-Fen, Stephen Lyman, Lisa A. Mandl, et al.. (2024). Substantial Weight Loss May Not Improve Early Outcomes of Total Knee Arthroplasty in the Morbidly Obese. The Journal of Arthroplasty. 39(9). 2272–2279.e1.
8.
Chiu, Yu-Fen, et al.. (2023). Does Computer Navigation or Robotic Assistance Affect the Risk of Periprosthetic Joint Infection in Primary Total Knee Arthroplasty? A Propensity Score-Matched Cohort Analysis. The Journal of Arthroplasty. 39(1). 96–102.
9.
LeBrun, Drake G., Joseph Nguyen, Charles Fisher, et al.. (2023). The Risk Assessment and Prediction Tool (RAPT) Score Predicts Discharge Destination, Length of Stay, and Postoperative Mobility After Total Joint Arthroplasty. The Journal of Arthroplasty. 38(7). S121–S129.
10.
Kolin, David A., et al.. (2023). Predicting Postoperative Anemia and Blood Transfusion Following Total Knee Arthroplasty. The Journal of Arthroplasty. 38(7). 1262–1266.e2.
11.
Kunze, Kyle N., Miranda So, Douglas E. Padgett, et al.. (2023). Machine Learning on Medicare Claims Poorly Predicts the Individual Risk of 30-Day Unplanned Readmission After Total Joint Arthroplasty, Yet Uncovers Interesting Population-level Associations With Annual Procedure Volumes. Clinical Orthopaedics and Related Research. 481(9). 1745–1759.
12.
Jaffry, Zahra, Asser Sallam, Stephen Lyman, et al.. (2022). Global impact of COVID-19 on surgeons and team members (GlobalCOST): a cross-sectional study. BMJ Open. 12(8). e059873–e059873.
13.
Debbi, Eytan M., et al.. (2022). Predicting Post-Discharge Opioid Consumption After Total Hip and Knee Arthroplasty in the Opioid-Naïve Patient. The Journal of Arthroplasty. 37(8). S830–S835.e3.
14.
Kunze, Kyle N., Mark Alan Fontana, Catherine H. MacLean, Stephen Lyman, & Alexander S. McLawhorn. (2021). Defining the Patient Acceptable Symptom State for the HOOS JR and KOOS JR After Primary Total Joint Arthroplasty. Journal of Bone and Joint Surgery. 104(4). 345–352.
15.
Fontana, Mark Alan, Stephen Lyman, Wasif Islam, & Catherine H. MacLean. (2019). When Stars Do Not Align: Overall Hospital Quality Star Ratings and the Volume-Outcome Association. JBJS Open Access. 4(1). e0044–e0044.
16.
Fontana, Mark Alan, et al.. (2019). Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?. Clinical Orthopaedics and Related Research. 477(6). 1267–1279.
17.
Ponzio, Danielle Y., et al.. (2018). An Analysis of the Influence of Physical Activity Level on Total Knee Arthroplasty Expectations, Satisfaction, and Outcomes. Journal of Bone and Joint Surgery. 100(18). 1539–1548.
18.
Pan, Nancy, Isabelle Amigues, Stephen Lyman, et al.. (2013). A surge in anti-dsDNA titer predicts a severe lupus flare within six months. Lupus. 23(3). 293–298.
19.
Hetsroni, Iftach, et al.. (2012). Sex Differences of Hip Morphology in Young Adults With Hip Pain and Labral Tears. Arthroscopy The Journal of Arthroscopic and Related Surgery. 29(1). 54–63.
20.
Hetsroni, Iftach, Stephen Lyman, T. Huong, Gideon Mann, & Robert G. Marx. (2010). Symptomatic pulmonary embolism after outpatient arthroscopic procedures of the knee. Journal of Bone and Joint Surgery - British Volume. 93-B(1). 47–51.
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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