Christina Mack
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- Sports injuries and prevention 23
- Health Informatics top 5%
- Modeling and Simulation top 5%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 detection and testing 7
- Surgery top 10%
- Shoulder Injury and Treatment 14
- Knee injuries and reconstruction techniques 10
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- Traumatic Brain Injury Research 8
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- Injury Epidemiology and Prevention 6
Christina Mack
78 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Orthopedics and Sports Medicine 445
- Health Informatics 28
- Modeling and Simulation 72
- Infectious Diseases 210
- Surgery 457
Countries citing papers authored by Christina Mack
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
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
The 25 scholars most cited alongside Christina Mack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 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 | 2021 | 33 |
| 14 | 2021 | 3 | |
| 15 | 2021 | 25 | |
| 16 | Trends in Incidence of ACL Reconstruction and Concomitant Procedures Among Commercially Insured Individuals in the United States, 2002-2014breakdown → | 2018 | 216 |
| 17 | 2016 | 0 | |
| 18 | 2015 | 15 | |
| 19 | 2001 | 5 | |
| 20 | Infection of Pythium arrhenomanes in vitro with tobacco mosaic virus and tobacco necrosis virus | 1974 | 8 |
About Christina Mack
Christina Mack is a scholar working on Health Informatics, Orthopedics and Sports Medicine and Infectious Diseases, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sports injuries and prevention (23 papers), Shoulder Injury and Treatment (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Knee injuries and reconstruction techniques (10 papers), COVID-19 Clinical Research Studies (10 papers), Traumatic Brain Injury Research (8 papers), SARS-CoV-2 detection and testing (7 papers) and Injury Epidemiology and Prevention (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (445 citations), Health Informatics (28 citations) and Modeling and Simulation (72 citations). Christina Mack has collaborated with scholars based in United States, United Kingdom and Australia. Frequent 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.
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.