Keith Marsolo

2.8k total citations
63 papers, 1.5k citations indexed

About

Keith Marsolo is a scholar working on Health Information Management, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Keith Marsolo has authored 63 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Health Information Management, 16 papers in Molecular Biology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Keith Marsolo's work include Electronic Health Records Systems (21 papers), Data Quality and Management (11 papers) and Biomedical Text Mining and Ontologies (10 papers). Keith Marsolo is often cited by papers focused on Electronic Health Records Systems (21 papers), Data Quality and Management (11 papers) and Biomedical Text Mining and Ontologies (10 papers). Keith Marsolo collaborates with scholars based in United States, Australia and Hong Kong. Keith Marsolo's co-authors include Craig M. Froehle, Michael J. Ward, Christopher B. Forrest, Peter A. Margolis, Srinivasan Parthasarathy, L. Charles Bailey, Todd Lingren, Michael G. Kahn, Imre Solti and Lisa J. Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and American Journal of Public Health.

In The Last Decade

Keith Marsolo

58 papers receiving 1.4k citations

Peers

Keith Marsolo
Henry C. Chueh United States
Fleur Fritz Germany
Rachel Richesson United States
Melissa A. Robb United States
Todd Lingren United States
Rachael Fleurence United States
Allison B. McCoy United States
Henry C. Chueh United States
Keith Marsolo
Citations per year, relative to Keith Marsolo Keith Marsolo (= 1×) peers Henry C. Chueh

Countries citing papers authored by Keith Marsolo

Since Specialization
Citations

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

Fields of papers citing papers by Keith Marsolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Marsolo

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Marsolo. A scholar is included among the top collaborators of Keith Marsolo 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 Keith Marsolo. Keith Marsolo 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.
Marsolo, Keith, Lesley H. Curtis, Laura G. Qualls, et al.. (2024). Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance. Learning Health Systems. 9(2). e10468–e10468.
2.
Bloomfield, Gerald S., C. Larry Hill, Karen Chiswell, et al.. (2023). Cardiology Encounters for Underrepresented Racial and Ethnic Groups with Human Immunodeficiency Virus and Borderline Cardiovascular Disease Risk. Journal of Racial and Ethnic Health Disparities. 11(3). 1509–1519. 5 indexed citations
3.
Raman, Sudha R., Emily C. O’Brien, Bradley G. Hammill, et al.. (2022). Evaluating fitness-for-use of electronic health records in pragmatic clinical trials: reported practices and recommendations. Journal of the American Medical Informatics Association. 29(5). 798–804. 7 indexed citations
4.
Cohen‐Wolkowiez, Michael, Emiliano D’Agostino, Keith Marsolo, et al.. (2022). Standardizing, harmonizing, and protecting data collection to broaden the impact of COVID-19 research: the rapid acceleration of diagnostics-underserved populations (RADx-UP) initiative. Journal of the American Medical Informatics Association. 29(9). 1480–1488. 10 indexed citations
5.
Hoell, Christin, Julia Wynn, Luke V. Rasmussen, et al.. (2020). Participant choices for return of genomic results in the eMERGE Network. Genetics in Medicine. 22(11). 1821–1829. 24 indexed citations
6.
Marsolo, Keith, Jeffrey S. Brown, Adrian F. Hernandez, et al.. (2020). Considerations for using distributed research networks to conduct aspects of randomized trials. Contemporary Clinical Trials Communications. 17. 100515–100515. 4 indexed citations
7.
Qualls, Laura G., Thomas Phillips, Bradley G. Hammill, et al.. (2018). Evaluating Foundational Data Quality in the National Patient-Centered Clinical Research Network (PCORnet®). SHILAP Revista de lepidopterología. 6(1). 3–3. 74 indexed citations
8.
Lingren, Todd, Senthilkumar Sadhasivam, Xue Zhang, & Keith Marsolo. (2017). Electronic medical records as a replacement for prospective research data collection in postoperative pain and opioid response studies. International Journal of Medical Informatics. 111. 45–50. 13 indexed citations
10.
Khare, Ritu, et al.. (2015). Identifying and Understanding Data Quality Issues in a Pediatric Distributed Research Network.. AMIA. 1 indexed citations
11.
Forrest, Christopher B., Peter A. Margolis, L. Charles Bailey, et al.. (2014). PEDSnet: a National Pediatric Learning Health System. Journal of the American Medical Informatics Association. 21(4). 602–606. 147 indexed citations
12.
Jiang, Xiaoqian, Yuan Wu, Keith Marsolo, & Lucila Ohno‐Machado. (2014). Development of a Web Service for Analysis in a Distributed Network. SHILAP Revista de lepidopterología. 2(1). 22–22. 5 indexed citations
13.
Abonia, J. Pablo, Ting Wen, Emily M. Stucke, et al.. (2013). High prevalence of eosinophilic esophagitis in patients with inherited connective tissue disorders. Journal of Allergy and Clinical Immunology. 132(2). 378–386. 138 indexed citations
14.
Namjou, Bahram, Mehdi Keddache, Keith Marsolo, et al.. (2013). EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children. Frontiers in Genetics. 4. 268–268. 39 indexed citations
15.
Marsolo, Keith. (2013). In Search of a Data-in-Once, Electronic Health Record-Linked, Multicenter Registry— How Far We Have Come and How Far We Still Have to Go. SHILAP Revista de lepidopterología. 1(1). 3–3. 15 indexed citations
16.
Pai, Ahna L. H., Joseph R. Rausch, Alayna P. Tackett, et al.. (2012). System for integrated adherence monitoring: Real‐time non‐adherence risk assessment in pediatric kidney transplantation. Pediatric Transplantation. 16(4). 329–334. 23 indexed citations
17.
Natter, Marc D., Jun Quan, Athos Bousvaros, et al.. (2012). An i2b2-based, generalizable, open source, self-scaling chronic disease registry. Journal of the American Medical Informatics Association. 20(1). 172–179. 54 indexed citations
18.
Marsolo, Keith, et al.. (2012). Challenges in creating an opt-in biobank with a registrar-based consent process and a commercial EHR. Journal of the American Medical Informatics Association. 19(6). 1115–1118. 18 indexed citations
19.
Li, Hongyuan, et al.. (2004). A new approach to protein structure mining and alignment. 1–10. 3 indexed citations
20.
Yang, Hui, Keith Marsolo, Srinivasan Parthasarathy, & Sameep Mehta. (2004). Discovering spatial relationships between approximately equivalent patterns in contact maps. 69(3). 62–71. 6 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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