Christina Mack

2.5k total citations · 1 hit paper
87 papers, 1.2k citations indexed

About

Christina Mack is a scholar working on Surgery, Orthopedics and Sports Medicine and Epidemiology. According to data from OpenAlex, Christina Mack has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 23 papers in Orthopedics and Sports Medicine and 22 papers in Epidemiology. Recurrent topics in Christina Mack's work include Sports injuries and prevention (23 papers), Shoulder Injury and Treatment (14 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Christina Mack is often cited by papers focused on Sports injuries and prevention (23 papers), Shoulder Injury and Treatment (14 papers) and SARS-CoV-2 and COVID-19 Research (12 papers). Christina Mack collaborates with scholars based in United States, United Kingdom and Australia. Christina Mack's co-authors include Mackenzie M. Herzog, Jennifer L. Lund, Stephen W. Marshall, Virginia Pate, Jeffrey T. Spang, Allen K. Sills, John P. DiFiori, Til Stürmer‎, Gary S. Solomon and Deverick J. Anderson and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Christina Mack

78 papers receiving 1.1k citations

Hit Papers

Trends in Incidence of ACL Reconstruction and Concomitant... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Mack United States 19 457 445 210 208 128 87 1.2k
Charlotte Martin Belgium 16 382 0.8× 102 0.2× 272 1.3× 212 1.0× 106 0.8× 66 1.1k
Adriana López‐Pineda Spain 18 114 0.2× 75 0.2× 60 0.3× 178 0.9× 156 1.2× 87 1.0k
Ilari Kuitunen Finland 14 255 0.6× 49 0.1× 159 0.8× 457 2.2× 125 1.0× 140 1.2k
Max Gordon Sweden 23 1.0k 2.2× 74 0.2× 166 0.8× 246 1.2× 55 0.4× 75 1.7k
Malavika Prabhu United States 19 203 0.4× 44 0.1× 67 0.3× 167 0.8× 419 3.3× 58 1.2k
Heather A. Prentice United States 25 1.5k 3.2× 217 0.5× 66 0.3× 292 1.4× 193 1.5× 135 1.8k
Adrian R. Levy Canada 17 382 0.8× 38 0.1× 449 2.1× 340 1.6× 91 0.7× 25 1.2k
Ronald A. Navarro United States 27 2.2k 4.8× 318 0.7× 33 0.2× 919 4.4× 159 1.2× 116 2.6k
Steven L. Shapiro United States 12 177 0.4× 106 0.2× 29 0.1× 213 1.0× 259 2.0× 23 899
Diarmuid Murphy Singapore 17 590 1.3× 105 0.2× 70 0.3× 275 1.3× 60 0.5× 49 899

Countries citing papers authored by Christina Mack

Since Specialization
Citations

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

Fields of papers citing papers by Christina Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Mack. 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 Christina Mack. The network helps show where Christina Mack may publish in the future.

Co-authorship network of co-authors of Christina Mack

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Mack. A scholar is included among the top collaborators of Christina Mack 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 Christina Mack. Christina Mack 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.
Gwinnutt, James M., et al.. (2025). A study of calibration as a measurement of trustworthiness of large language models in biomedical natural language processing. JAMIA Open. 8(4). ooaf058–ooaf058. 1 indexed citations
2.
Mack, Christina, et al.. (2024). Unstructured EMR data hold the key to oncology studies: Methods for validating NLP-extracted phenotypes from EMR notes.. Journal of Clinical Oncology. 42(16_suppl). 11133–11133. 1 indexed citations
3.
4.
Dreyer, Nancy A & Christina Mack. (2023). Tactical Considerations for Designing Real-World Studies: Fit-for-Purpose Designs That Bridge Research and Practice. PubMed. Volume 14. 101–110. 2 indexed citations
5.
Mack, Christina, et al.. (2023). Daily COVID-19 symptom assessment over 28 days – findings from a daily direct-to-patient registry of COVID-19 positive patients. Journal of Patient-Reported Outcomes. 7(1). 128–128. 2 indexed citations
6.
Kissler, Stephen M., James A. Hay, Joseph R. Fauver, et al.. (2023). Viral kinetics of sequential SARS-CoV-2 infections. Nature Communications. 14(1). 6206–6206. 12 indexed citations
7.
Wu, Kevin, Eric Q. Wu, Weixin Liang, et al.. (2023). Characterizing the Clinical Adoption of Medical AI Devices through U.S. Insurance Claims. NEJM AI. 1(1). 46 indexed citations
8.
Gao, Junyi, et al.. (2023). Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics. Nature Communications. 14(1). 3093–3093. 8 indexed citations
9.
Mack, Christina, et al.. (2023). Quarantined dogs pose tumour risk. Veterinary Record. 192(2). 54–54. 1 indexed citations
11.
Cools, Michael J., Scott L. Zuckerman, Mackenzie M. Herzog, et al.. (2022). Same-Year Repeat Concussions in the National Football League: Trends from 2015 Through 2019. World Neurosurgery. 161. e441–e447. 4 indexed citations
12.
Reynolds, Matthew W., et al.. (2022). Evaluating real-world COVID-19 vaccine effectiveness using a test-negative case–control design. Journal of Comparative Effectiveness Research. 11(16). 1161–1172. 5 indexed citations
13.
Kissler, Stephen M., Joseph R. Fauver, Christina Mack, et al.. (2021). Densely sampled viral trajectories suggest longer duration of acute infection with B.1.1.7 variant relative to non-B.1.1.7 SARS-CoV-2. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 33 indexed citations
14.
Gibbs, Daniel, et al.. (2021). Elbow Dislocations in the National Football League: Epidemiology and Management. Cureus. 13(11). e19241–e19241. 3 indexed citations
15.
Palmieri‐Smith, Riann M., Christina Mack, Robert H. Brophy, et al.. (2021). Epidemiology of Anterior Cruciate Ligament Tears in the National Football League. The American Journal of Sports Medicine. 49(7). 1786–1793. 25 indexed citations
16.
Herzog, Mackenzie M., Stephen W. Marshall, Jennifer L. Lund, et al.. (2018). Trends in Incidence of ACL Reconstruction and Concomitant Procedures Among Commercially Insured Individuals in the United States, 2002-2014. Sports Health A Multidisciplinary Approach. 10(6). 523–531. 216 indexed citations breakdown →
17.
Mack, Christina, et al.. (2016). DELIVERING ACTIONABLE RESULTS FOR OBSERVATIONAL STUDIES THROUGH RAPID EVALUATION PROCESSES. Value in Health. 19(3). A85–A85.
18.
Mack, Christina, M. Alan Brookhart, Robert J. Glynn, et al.. (2015). Comparative Effectiveness of Oxaliplatin Versus 5-flourouricil in Older Adults. Epidemiology. 26(5). 690–699. 15 indexed citations
19.
Franz, Axel R., et al.. (2001). Preserved Spontaneous Breathing Improves Cardiac Output during Partial Liquid Ventilation. American Journal of Respiratory and Critical Care Medicine. 164(1). 36–42. 5 indexed citations
20.
Nienhaus, F. & Christina Mack. (1974). Infection of Pythium arrhenomanes in vitro with tobacco mosaic virus and tobacco necrosis virus. 81(12). 728–731. 8 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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