Mark Alan Fontana

702 total citations
30 papers, 451 citations indexed

About

Mark Alan Fontana is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Biomedical Engineering. According to data from OpenAlex, Mark Alan Fontana has authored 30 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Biomedical Engineering. Recurrent topics in Mark Alan Fontana's work include Total Knee Arthroplasty Outcomes (10 papers), Orthopaedic implants and arthroplasty (5 papers) and Hip and Femur Fractures (5 papers). Mark Alan Fontana is often cited by papers focused on Total Knee Arthroplasty Outcomes (10 papers), Orthopaedic implants and arthroplasty (5 papers) and Hip and Femur Fractures (5 papers). Mark Alan Fontana collaborates with scholars based in United States, Switzerland and Qatar. Mark Alan Fontana's co-authors include Catherine H. MacLean, Stephen Lyman, Douglas E. Padgett, Stephen D. Wohlgemuth, Alexander S. McLawhorn, Kyle N. Kunze, Anca D. Dobrian, David C. Lieb, Jerry L. Nadler and Banumathi K. Cole and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Joint Surgery and Biochemical and Biophysical Research Communications.

In The Last Decade

Mark Alan Fontana

28 papers receiving 445 citations

Peers

Mark Alan Fontana
Ramzi Dudum United States
Jonathan Leff United States
Xue Yu China
Kevin Li United States
Lawrence M. Phillips United States
Yeonjung Jo United States
Mark Alan Fontana
Citations per year, relative to Mark Alan Fontana Mark Alan Fontana (= 1×) peers Şenol Tonyalı

Countries citing papers authored by Mark Alan Fontana

Since Specialization
Citations

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

Fields of papers citing papers by Mark Alan Fontana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Alan Fontana. 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 Mark Alan Fontana. The network helps show where Mark Alan Fontana may publish in the future.

Co-authorship network of co-authors of Mark Alan Fontana

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Alan Fontana. A scholar is included among the top collaborators of Mark Alan Fontana 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 Mark Alan Fontana. Mark Alan Fontana 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.
Ibarra, Antonio, et al.. (2025). Development of Explainable Machine Learning Models to Predict Outcomes After Platelet-Rich Plasma Injections for Knee Osteoarthritis. Orthopaedic Journal of Sports Medicine. 13(8). 981954799–981954799. 1 indexed citations
2.
Fontana, Mark Alan, et al.. (2025). AI-Generated Synthetic STIR of the Lumbar Spine from T1 and T2 MRI Sequences Trained with Open-Source Algorithms. American Journal of Neuroradiology. 46(3). 552–558. 1 indexed citations
3.
Mehta, Bella, Susan M. Goodman, Michael L. Parks, et al.. (2025). Comparing Community‐Level Social Determinants of Health With Patient Race in Total Hip Arthroplasty Outcomes. Arthritis Care & Research. 77(7). 892–899.
4.
Fontana, Mark Alan, et al.. (2024). Injury patterns and healthcare utilisation by runners of the New York City Marathon. BMJ Open Sport & Exercise Medicine. 10(1). e001766–e001766.
5.
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. 10 indexed citations
6.
Jang, Seong J., Dimitrios A. Flevas, Kyle N. Kunze, et al.. (2023). Standardized Fixation Zones and Cone Assessments for Revision Total Knee Arthroplasty Using Deep Learning. The Journal of Arthroplasty. 38(6). S259–S265.e2. 8 indexed citations
7.
Jang, Seong J., Mark Alan Fontana, Kyle N. Kunze, et al.. (2023). An Interpretable Machine Learning Model for Predicting 10-Year Total Hip Arthroplasty Risk. The Journal of Arthroplasty. 38(7). S44–S50.e6. 10 indexed citations
8.
Konnaris, Maxwell A., Matthew Brendel, Mark Alan Fontana, et al.. (2022). Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges. Arthritis Research & Therapy. 24(1). 68–68. 10 indexed citations
9.
Toresdahl, Brett G., et al.. (2022). Training patterns associated with injury in New York City Marathon runners. British Journal of Sports Medicine. 57(3). 146–152. 7 indexed citations
10.
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. 68 indexed citations
11.
Boettner, Friedrich, Milan Kapadia, Yu-Fen Chiu, et al.. (2021). History of COVID-19 Was Not Associated With Length of Stay or In-Hospital Complications After Elective Lower Extremity Joint Replacement. Arthroplasty Today. 13. 109–115. 5 indexed citations
12.
Fontana, Mark Alan, et al.. (2021). Presenteeism and absenteeism before and after single-level lumbar spine surgery. The Spine Journal. 22(5). 776–786. 3 indexed citations
13.
Mehta, Bella, Deanna Jannat‐Khah, Mark Alan Fontana, et al.. (2020). Impact of COVID-19 on vulnerable patients with rheumatic disease: results of a worldwide survey. RMD Open. 6(3). e001378–e001378. 25 indexed citations
14.
Fontana, Mark Alan, et al.. (2020). Presenteeism and Absenteeism Before and After Total Hip and Knee Arthroplasty. The Journal of Arthroplasty. 36(5). 1511–1519.e5. 5 indexed citations
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. 4 indexed citations
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. 141 indexed citations
17.
Lieb, David C., Matthew J. Butcher, Elena Galkina, et al.. (2014). Bariatric Surgery Decreases Monocyte-Platelet Aggregates in Blood: a Pilot Study. Obesity Surgery. 24(8). 1410–1414. 4 indexed citations
18.
Lieb, David C., Joshua J. Brotman, Banumathi K. Cole, et al.. (2014). Adipose Tissue 12/15 Lipoxygenase Pathway in Human Obesity and Diabetes. The Journal of Clinical Endocrinology & Metabolism. 99(9). E1713–E1720. 38 indexed citations
19.
Dobrian, Anca D., David C. Lieb, Qian Ma, et al.. (2010). Differential expression and localization of 12/15 lipoxygenases in adipose tissue in human obese subjects. Biochemical and Biophysical Research Communications. 403(3-4). 485–490. 35 indexed citations
20.
Fontana, Mark Alan & Stephen D. Wohlgemuth. (2010). The Surgical Treatment of Metabolic Disease and Morbid Obesity. Gastroenterology Clinics of North America. 39(1). 125–133. 25 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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