Alicia J. Johnson

465 total citations
32 papers, 337 citations indexed

About

Alicia J. Johnson is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Sociology and Political Science. According to data from OpenAlex, Alicia J. Johnson has authored 32 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Sociology and Political Science. Recurrent topics in Alicia J. Johnson's work include Orthopaedic implants and arthroplasty (9 papers), Total Knee Arthroplasty Outcomes (8 papers) and Orthopedic Infections and Treatments (7 papers). Alicia J. Johnson is often cited by papers focused on Orthopaedic implants and arthroplasty (9 papers), Total Knee Arthroplasty Outcomes (8 papers) and Orthopedic Infections and Treatments (7 papers). Alicia J. Johnson collaborates with scholars based in United States, Australia and India. Alicia J. Johnson's co-authors include Harlan C. Amstutz, Michel J. Le Duff, Meredith A. Whitley, Patricia A. Campbell, Joshua J. Jacobs, Frederick J. Dorey, Anastasia K. Skipor, Karren M. Takamura, Edward Ebramzadeh and Dennis C. Crawford and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The American Journal of Sports Medicine.

In The Last Decade

Alicia J. Johnson

29 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alicia J. Johnson United States 11 197 43 37 23 22 32 337
Emily Kraus United States 11 93 0.5× 39 0.9× 16 0.4× 2 0.1× 4 0.2× 42 592
Jonas Jensen Denmark 10 127 0.6× 29 0.7× 18 0.5× 11 0.5× 17 268
Jill S. Boissonnault United States 8 195 1.0× 35 0.8× 22 0.6× 5 0.2× 22 385
Cordelia W. Carter United States 10 210 1.1× 10 0.2× 38 1.0× 1 0.0× 5 0.2× 43 355
Alessandro Corsini Italy 8 102 0.5× 20 0.5× 10 0.3× 11 0.5× 22 362
Michael Ohebshalom United States 10 98 0.5× 45 1.0× 11 0.3× 3 0.1× 11 0.5× 15 549
Tzu-Chun Lin United States 10 69 0.4× 5 0.1× 24 0.6× 9 0.4× 12 0.5× 14 328
Barbara Wagner Austria 12 56 0.3× 10 0.2× 21 0.6× 22 1.0× 26 353
Joshua C. Campbell United States 11 186 0.9× 5 0.1× 29 0.8× 6 0.3× 8 0.4× 31 317
Celeste E. Coltman Australia 14 140 0.7× 7 0.2× 3 0.1× 9 0.4× 69 3.1× 39 447

Countries citing papers authored by Alicia J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Alicia J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia J. Johnson. 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 Alicia J. Johnson. The network helps show where Alicia J. Johnson may publish in the future.

Co-authorship network of co-authors of Alicia J. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia J. Johnson. A scholar is included among the top collaborators of Alicia J. Johnson 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 Alicia J. Johnson. Alicia J. Johnson 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.
Sutton, Thomas L., Kevin G. Billingsley, Alicia J. Johnson, et al.. (2024). Adjuvant imatinib in high‐risk resected gastrointestinal stromal tumors: Merely delaying the inevitable?. Journal of Surgical Oncology. 130(1). 40–46. 1 indexed citations
2.
Daly, Gwendolyn E., et al.. (2024). Gingivoperiosteoplasty in Children with Cleft Lip and Palate: The Need for Alveolar Bone Grafting. The Cleft Palate-Craniofacial Journal. 62(8). 1395–1401.
3.
Behrens, Shay, Thomas L. Sutton, Alicia J. Johnson, et al.. (2023). Neoadjuvant therapy does not impact the biliary microbiome in patients with pancreatic cancer. Journal of Surgical Oncology. 128(2). 271–279.
4.
Parappilly, Michael, Thomas L. Sutton, Shay Behrens, et al.. (2023). Referral and treatment patterns in pancreatic acinar cell carcinoma: A regional population-level analysis. The American Journal of Surgery. 231. 55–59. 4 indexed citations
5.
Kornblith, Lucy Z., et al.. (2023). γ′ fibrinogen levels as a biomarker of COVID-19 respiratory disease severity. Blood Cells Molecules and Diseases. 101. 102746–102746. 8 indexed citations
6.
Johnson, Alicia J., et al.. (2023). Association of fibrinolysis phenotype with patient outcomes following traumatic brain injury. The Journal of Trauma: Injury, Infection, and Critical Care. 96(3). 482–486. 4 indexed citations
7.
Johnson, Alicia J., et al.. (2023). Hospital Care for Adult Patients with Congenital Heart Diseases. The Heart Surgery Forum. 26(6). E842–E854. 1 indexed citations
8.
Behrens, Shay, Kristin Potter, Thomas L. Sutton, et al.. (2023). High-volume centers are associated with higher receipt of combined therapy in stage III pancreatic cancer. The American Journal of Surgery. 225(5). 887–890. 1 indexed citations
9.
Kornblith, Lucy Z., et al.. (2022). Gamma' Fibrinogen Levels As a Biomarker of COVID-19 Severity. Blood. 140(Supplement 1). 2749–2750.
10.
11.
Johnson, Alicia J., et al.. (2021). Disagreement in Readmission Rates After Total Hip and Knee Arthroplasty Across Data Sets. Arthroplasty Today. 9. 73–77. 3 indexed citations
12.
Kea, Bory, Alicia J. Johnson, Amber Lin, et al.. (2021). An international survey of healthcare workers use of personal protective equipment during the early stages of the COVID‐19 pandemic. SHILAP Revista de lepidopterología. 2(2). e12392–e12392. 26 indexed citations
13.
Kagan, Ryland, et al.. (2020). Spinal anesthesia in a designated block bay for total joint arthroplasty: improving operating room efficiency. Regional Anesthesia & Pain Medicine. 45(12). 975–978. 4 indexed citations
14.
Raalte, Judy L. Van, et al.. (2017). I Will Use Declarative Self-Talk . . . or Will I? Replication, Extension, and Meta-Analyses. The Sport Psychologist. 32(1). 16–25. 7 indexed citations
15.
Johnson, Alicia J., et al.. (2015). Voices of empowerment: women from the Global South re/negotiating empowerment and the global sports mentoring programme. Sport in Society. 18(8). 923–937. 18 indexed citations
16.
Johnson, Alicia J., et al.. (2013). Metal Ion Levels in Total Hip Arthroplasty Versus Hip Resurfacing. The Journal of Arthroplasty. 28(7). 1235–1237. 20 indexed citations
17.
Duff, Michel J. Le, et al.. (2013). Does Femoral Neck to Cup Impingement Affect Metal Ion Levels in Hip Resurfacing?. Clinical Orthopaedics and Related Research. 472(2). 489–496. 8 indexed citations
18.
Johnson, Alicia J., et al.. (2013). The Results of Metal-On-Metal Hip Resurfacing in Patients Under 30 Years of Age. The Journal of Arthroplasty. 28(6). 1010–1014. 17 indexed citations
19.
Amstutz, Harlan C., Michel J. Le Duff, & Alicia J. Johnson. (2012). Socket Position Determines Hip Resurfacing 10-Year Survivorship. Clinical Orthopaedics and Related Research. 470(11). 3127–3133. 41 indexed citations
20.
Duff, Michel J. Le, et al.. (2012). Contact Patch to Rim Distance Predicts Metal Ion Levels in Hip Resurfacing. Clinical Orthopaedics and Related Research. 471(5). 1615–1621. 31 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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