Karen Schulz

1.8k total citations
36 papers, 790 citations indexed

About

Karen Schulz is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Karen Schulz has authored 36 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Karen Schulz's work include Acute Myocardial Infarction Research (26 papers), Cardiac Imaging and Diagnostics (12 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Karen Schulz is often cited by papers focused on Acute Myocardial Infarction Research (26 papers), Cardiac Imaging and Diagnostics (12 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Karen Schulz collaborates with scholars based in United States, United Kingdom and Spain. Karen Schulz's co-authors include Fred S. Apple, Yader Sandoval, Stephen W. Smith, Sara A. Love, Anne Sexter, MaryAnn M Murakami, Sarah Thordsen, Ian L. Gunsolus, Lesly A. Pearce and Jennifer L. Nicholson and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Medicine.

In The Last Decade

Karen Schulz

33 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Schulz United States 18 647 346 208 52 43 36 790
Melanie Freeman Australia 14 492 0.8× 210 0.6× 247 1.2× 16 0.3× 82 1.9× 57 717
Remigijus Žaliūnas Lithuania 15 471 0.7× 129 0.4× 122 0.6× 13 0.3× 24 0.6× 76 690
M. Hanssen France 11 520 0.8× 263 0.8× 313 1.5× 25 0.5× 22 0.5× 40 656
Rhondalyn C. McLean United States 13 506 0.8× 75 0.2× 272 1.3× 39 0.8× 58 1.3× 40 739
Andrea Santarelli Italy 18 683 1.1× 167 0.5× 382 1.8× 13 0.3× 104 2.4× 36 940
Andrew G.C. Sutton United Kingdom 12 312 0.5× 197 0.6× 225 1.1× 38 0.7× 65 1.5× 32 574
Trip J. Meine United States 10 524 0.8× 222 0.6× 188 0.9× 10 0.2× 42 1.0× 20 944
Özlem Yıldırımtürk Türkiye 15 525 0.8× 200 0.6× 174 0.8× 7 0.1× 47 1.1× 72 715
Jin Wi South Korea 14 334 0.5× 87 0.3× 95 0.5× 41 0.8× 79 1.8× 38 571
Stefano Savonitto Italy 15 992 1.5× 480 1.4× 408 2.0× 8 0.2× 92 2.1× 45 1.2k

Countries citing papers authored by Karen Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Karen Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Schulz. A scholar is included among the top collaborators of Karen Schulz 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 Karen Schulz. Karen Schulz 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
2.
Greenslade, Jaimi, William Parsonage, Karen Schulz, et al.. (2024). Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study. The Lancet Digital Health. 6(10). e729–e738. 15 indexed citations
4.
Melanson, Stacy E.F., Karen Schulz, Zhen Zhao, et al.. (2023). Large-Scale Scientific Study Led by a Professional Organization during the COVID-19 Pandemic: Operations, Best Practices, and Lessons Learned. The Journal of Applied Laboratory Medicine. 9(2). 371–385. 1 indexed citations
6.
Gunsolus, Ian L., et al.. (2022). Diagnostic performance of a rapid, novel, whole blood, point of care high-sensitivity cardiac troponin I assay for myocardial infarction. Clinical Biochemistry. 105-106. 70–74. 21 indexed citations
7.
Apple, Fred S., Yader Sandoval, Christopher R. deFilippi, et al.. (2021). RISK ASSESSMENT OF EMERGENCY DEPARTMENT PATIENTS WITH HIGH SENSITIVITY CARDIAC TROPONIN I CONCENTRATIONS BELOW THE 99TH PERCENTILE SEX-SPECIFIC UPPER REFERENCE LIMITS. Journal of the American College of Cardiology. 77(18). 215–215. 1 indexed citations
8.
Bissonnette, Sarah A., Rosanna Inzitari, Karen Schulz, et al.. (2021). Independent and combined effects of biotin and hemolysis on high-sensitivity cardiac troponin assays. Clinical Chemistry and Laboratory Medicine (CCLM). 59(8). 1431–1443. 12 indexed citations
9.
Schulz, Craig, Roni Evans, Michele Maiers, et al.. (2019). Spinal manipulative therapy and exercise for older adults with chronic low back pain: a randomized clinical trial. Chiropractic & Manual Therapies. 27(1). 21–21. 23 indexed citations
10.
Sandoval, Yader, Ian L. Gunsolus, Stephen W. Smith, et al.. (2019). Appropriateness of Cardiac Troponin Testing: Insights from the Use of TROPonin In Acute coronary syndromes (UTROPIA) Study. The American Journal of Medicine. 132(7). 869–874. 7 indexed citations
11.
Sandoval, Yader, Stephen W. Smith, Anne Sexter, Karen Schulz, & Fred S. Apple. (2018). DIAGNOSTIC PERFORMANCE OF A HIGH-SENSITIVITY CARDIAC TROPONIN I FOR ACUTE MYOCARDIAL INFARCTION USING SEX-SPECIFIC 99TH PERCENTILES DERIVED FROM THE AMERICAN ASSOCIATION OF CLINICAL CHEMISTRY UNIVERSAL SAMPLE BANK. Journal of the American College of Cardiology. 71(11). A237–A237. 1 indexed citations
12.
Cediel, Germán, Yader Sandoval, Anne Sexter, et al.. (2018). Risk Estimation in Type 2 Myocardial Infarction and Myocardial Injury: The TARRACO Risk Score. The American Journal of Medicine. 132(2). 217–226. 14 indexed citations
13.
Sandoval, Yader, Stephen W. Smith, Anne Sexter, Karen Schulz, & Fred S. Apple. (2018). Use of objective evidence of myocardial ischemia to facilitate the diagnostic and prognostic distinction between type 2 myocardial infarction and myocardial injury. European Heart Journal Acute Cardiovascular Care. 9(1). 62–69. 17 indexed citations
14.
Gunsolus, Ian L., Yader Sandoval, Stephen W. Smith, et al.. (2017). Renal Dysfunction Influences the Diagnostic and Prognostic Performance of High-Sensitivity Cardiac Troponin I. Journal of the American Society of Nephrology. 29(2). 636–643. 53 indexed citations
15.
Sandoval, Yader, Stephen W. Smith, Sara A. Love, et al.. (2017). Single High-Sensitivity Cardiac Troponin I to Rule Out Acute Myocardial Infarction. The American Journal of Medicine. 130(9). 1076–1083.e1. 45 indexed citations
16.
Haskins, Ivy N., Amy S. Nowacki, Zhamak Khorgami, et al.. (2017). Should recent smoking be a contraindication for sleeve gastrectomy?. Surgery for Obesity and Related Diseases. 13(7). 1130–1135. 17 indexed citations
17.
Gunsolus, Ian L., Allan S. Jaffe, Anne Sexter, et al.. (2017). Sex-specific 99th percentiles derived from the AACC Universal Sample Bank for the Roche Gen 5 cTnT assay: Comorbidities and statistical methods influence derivation of reference limits. Clinical Biochemistry. 50(18). 1073–1077. 22 indexed citations
18.
Díaz–Garzón, Jorge, Yader Sandoval, Stephen W. Smith, et al.. (2016). Discordance between ICD-Coded Myocardial Infarction and Diagnosis according to the Universal Definition of Myocardial Infarction. Clinical Chemistry. 63(1). 415–419. 35 indexed citations
19.
Nelson, Sarah E., Yader Sandoval, Stephen W. Smith, et al.. (2013). ROLE OF DELTA CARDIAC TROPONIN I TO DISTINGUISH BETWEEN TYPE I NSTEMI AND TYPE II MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 61(10). E234–E234. 3 indexed citations
20.
Maiers, Michele, Jan Hartvigsen, Craig Schulz, et al.. (2007). Chiropractic and exercise for seniors with low back pain or neck pain: the design of two randomized clinical trials. BMC Musculoskeletal Disorders. 8(1). 94–94. 30 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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