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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Development of a Preoperative Risk Calculator for Reinfection Following Revision Surgery for Periprosthetic Joint Infection
Christian Klemt, Venkatsaiakhil Tirumala, Evan J. Smith, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 2, pp. 693-699
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

One-stage revision is as effective as two-stage revision for chronic culture-negative periprosthetic joint infection after total hip and knee arthroplasty
Janna van den Kieboom, Venkatsaiakhil Tirumala, Hayden N. Box, et al.
The Bone & Joint Journal (2021) Vol. 103-B, Iss. 3, pp. 515-521
Closed Access | Times Cited: 64
Machine learning algorithms predict extended postoperative opioid use in primary total knee arthroplasty
Christian Klemt, Mike Harvey, Matthew Robinson, et al.
Knee Surgery Sports Traumatology Arthroscopy (2022) Vol. 30, Iss. 8, pp. 2573-2581
Closed Access | Times Cited: 37
Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models
Ingwon Yeo, Christian Klemt, Christopher M. Melnic, et al.
Archives of Orthopaedic and Trauma Surgery (2022) Vol. 143, Iss. 6, pp. 3299-3307
Closed Access | Times Cited: 32
The Use of Artificial Neural Networks for the Prediction of Surgical Site Infection Following TKA
Ingwon Yeo, Christian Klemt, Matthew Robinson, et al.
The Journal of Knee Surgery (2022) Vol. 36, Iss. 06, pp. 637-643
Open Access | Times Cited: 31
Complete blood platelet and lymphocyte ratios increase diagnostic accuracy of periprosthetic joint infection following total hip arthroplasty
Christian Klemt, Venkatsaiakhil Tirumala, Evan J. Smith, et al.
Archives of Orthopaedic and Trauma Surgery (2022) Vol. 143, Iss. 3, pp. 1441-1449
Closed Access | Times Cited: 29
Minority Race and Ethnicity is Associated With Higher Complication Rates After Revision Surgery for Failed Total Hip and Knee Joint Arthroplasty
Christian Klemt, Paul Walker, Anand Padmanabha, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 4, pp. 1393-1400
Closed Access | Times Cited: 39
Machine learning models accurately predict recurrent infection following revision total knee arthroplasty for periprosthetic joint infection
Christian Klemt, Samuel Laurencin, Akachimere Uzosike, et al.
Knee Surgery Sports Traumatology Arthroscopy (2021) Vol. 30, Iss. 8, pp. 2582-2590
Closed Access | Times Cited: 36
Survival and Outcomes of 1.5-Stage vs 2-Stage Exchange Total Knee Arthroplasty Following Prosthetic Joint Infection
Austin Nabet, Oliver C. Sax, Roni Shanoada, et al.
The Journal of Arthroplasty (2022) Vol. 37, Iss. 5, pp. 936-941
Closed Access | Times Cited: 24
The Use of Artificial Intelligence for the Prediction of Periprosthetic Joint Infection Following Aseptic Revision Total Knee Arthroplasty
Christian Klemt, Ingwon Yeo, Mike Harvey, et al.
The Journal of Knee Surgery (2023) Vol. 37, Iss. 02, pp. 158-166
Closed Access | Times Cited: 14
The Application of artificial intelligence in periprosthetic joint infection
Pengcheng Li, Weisheng Yan, Runkai Zhao, et al.
Journal of Advanced Research (2025)
Open Access
Can machine learning models predict failure of revision total hip arthroplasty?
Christian Klemt, Wayne B. Cohen-Levy, Matthew Robinson, et al.
Archives of Orthopaedic and Trauma Surgery (2022) Vol. 143, Iss. 6, pp. 2805-2812
Closed Access | Times Cited: 20
Application of machine learning in the prevention of periprosthetic joint infection following total knee arthroplasty: a systematic review
Yuk Yee Chong, PK Chan, Vincent Wai Kwan Chan, et al.
Arthroplasty (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 12
Outcomes and Risk Factors Associated With 2-Stage Reimplantation Requiring an Interim Spacer Exchange for Periprosthetic Joint Infection
Christian Klemt, Evan J. Smith, Venkatsaiakhil Tirumala, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 3, pp. 1094-1100
Closed Access | Times Cited: 27
Outcomes and Risk Factors Associated With Failures of Debridement, Antibiotics, and Implant Retention in Patients With Acute Hematogenous Periprosthetic Joint Infection
Wenhao Chen, Christian Klemt, Evan J. Smith, et al.
Journal of the American Academy of Orthopaedic Surgeons (2021)
Closed Access | Times Cited: 20
Comparison of patient reported outcome measures after single versus two-stage revision for chronic infection of total hip arthroplasty: a retrospective propensity score matched cohort study
Venkatsaiakhil Tirumala, Christian Klemt, Janna van den Kieboom, et al.
Archives of Orthopaedic and Trauma Surgery (2021) Vol. 141, Iss. 10, pp. 1789-1796
Closed Access | Times Cited: 19
Periprosthetic joint infection is the main reason for failure in patients following periprosthetic fracture treated with revision arthroplasty
Janna van den Kieboom, Venkatsaiakhil Tirumala, Liang Xiong, et al.
Archives of Orthopaedic and Trauma Surgery (2021) Vol. 142, Iss. 12, pp. 3565-3574
Closed Access | Times Cited: 18
How Does a “Dry Tap” Impact the Accuracy of Preoperative Aspiration Results in Predicting Chronic Periprosthetic Joint Infection?
Thomas H. Christensen, Justin Ong, Dana J. Lin, et al.
The Journal of Arthroplasty (2022) Vol. 37, Iss. 5, pp. 925-929
Closed Access | Times Cited: 11
Outcome of Debridement, Antibiotics, and Implant Retention With Modular Component Exchange in Acute Culture-Negative Periprosthetic Joint Infections
Venkatsaiakhil Tirumala, Evan J. Smith, Hayden N. Box, et al.
The Journal of Arthroplasty (2020) Vol. 36, Iss. 3, pp. 1087-1093
Closed Access | Times Cited: 15
Factors predicting hip joint aspiration yield or “dry taps” in patients with total hip arthroplasty
Justin Ong, Alex Tang, Joshua C. Rozell, et al.
Journal of Orthopaedic Surgery and Research (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 8
Elevated ESR and CRP Prior to Second-Stage Reimplantation Knee Revision Surgery for Periprosthetic Joint Infection Are Associated with Increased Reinfection Rates
Christian Klemt, Anand Padmanabha, John G. Esposito, et al.
The Journal of Knee Surgery (2021) Vol. 36, Iss. 04, pp. 354-361
Open Access | Times Cited: 11
Plasma levels of D-dimer and fibrin degradation product are unreliable for diagnosing periprosthetic joint infection in patients undergoing re-revision arthroplasty
Hong Xu, Jinwei Xie, Duan Wang, et al.
Journal of Orthopaedic Surgery and Research (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 10
Outcome and Predictors of Septic Failure Following Total Joint Arthroplasty for Prior Septic Arthritis of Hip and Knee Joint
Jui-Ting Wei, Feng‐Chih Kuo, Jun-Wen Wang, et al.
The Journal of Arthroplasty (2022) Vol. 37, Iss. 7, pp. 1375-1382
Closed Access | Times Cited: 7
External Validation of Prediction Models for Surgical Complications in People Considering Total Hip or Knee Arthroplasty Was Successful for Delirium but Not for Surgical Site Infection, Postoperative Bleeding, and Nerve Damage: A Retrospective Cohort Study
Lieke Sweerts, Pepijn W. Dekkers, Philip J. van der Wees, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 277-277
Open Access | Times Cited: 3
Comorbidity Index as a Risk Factor of Knee PJI Recurrence After Spacer Implantation
P. M. Preobrazhensky, С. А. Божкова, A. V. Kazemirsky
Traumatology and Orthopedics of Russia (2022) Vol. 28, Iss. 1, pp. 7-18
Open Access | Times Cited: 5
Methodological Challenges in Predicting Periprosthetic Joint Infection Treatment Outcomes: A Narrative Review
Elise Naufal, Marjan Wouthuyzen‐Bakker, Sina Babazadeh, et al.
Frontiers in Rehabilitation Sciences (2022) Vol. 3
Open Access | Times Cited: 5
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