Allen Flynn

1.2k total citations
56 papers, 739 citations indexed

About

Allen Flynn is a scholar working on Health Information Management, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, Allen Flynn has authored 56 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Health Information Management, 18 papers in Molecular Biology and 18 papers in Geriatrics and Gerontology. Recurrent topics in Allen Flynn's work include Electronic Health Records Systems (21 papers), Pharmaceutical Practices and Patient Outcomes (18 papers) and Biomedical Text Mining and Ontologies (16 papers). Allen Flynn is often cited by papers focused on Electronic Health Records Systems (21 papers), Pharmaceutical Practices and Patient Outcomes (18 papers) and Biomedical Text Mining and Ontologies (16 papers). Allen Flynn collaborates with scholars based in United States, United Kingdom and Australia. Allen Flynn's co-authors include Charles P. Friedman, Brent I. Fox, Katherine Payne, Priscilla Alderson, Moray Nairn, Bruce Guthrie, Alexander Thompson, Michael G. Wilson, Stewart W Mercer and Shaun Treweek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemistry and BMJ.

In The Last Decade

Allen Flynn

51 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allen Flynn United States 14 252 197 179 119 94 56 739
Ranjit Singh United States 17 119 0.5× 189 1.0× 215 1.2× 99 0.8× 26 0.3× 69 868
Marjan Askari Netherlands 16 103 0.4× 317 1.6× 85 0.5× 45 0.4× 67 0.7× 55 868
Saverio M. Maviglia United States 15 227 0.9× 307 1.6× 547 3.1× 112 0.9× 210 2.2× 36 1.2k
Richard D. Boyce United States 23 285 1.1× 119 0.6× 186 1.0× 92 0.8× 487 5.2× 99 1.6k
Jonathan S. Einbinder United States 17 73 0.3× 188 1.0× 250 1.4× 86 0.7× 121 1.3× 46 770
Jens Kaltschmidt Germany 15 201 0.8× 157 0.8× 249 1.4× 59 0.5× 49 0.5× 26 617
Isla Hains Australia 10 133 0.5× 140 0.7× 275 1.5× 49 0.4× 39 0.4× 16 590
Morgan Price Canada 16 87 0.3× 365 1.9× 401 2.2× 66 0.6× 47 0.5× 67 986
Anders Grimsmo Norway 18 131 0.5× 381 1.9× 162 0.9× 79 0.7× 65 0.7× 57 812
C. Martin Harris United States 11 96 0.4× 102 0.5× 144 0.8× 96 0.8× 66 0.7× 17 652

Countries citing papers authored by Allen Flynn

Since Specialization
Citations

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

Fields of papers citing papers by Allen Flynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allen Flynn

This figure shows the co-authorship network connecting the top 25 collaborators of Allen Flynn. A scholar is included among the top collaborators of Allen Flynn 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 Allen Flynn. Allen Flynn 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.
Conte, Marisa, et al.. (2024). Ten simple rules to make computable knowledge shareable and reusable. PLoS Computational Biology. 20(6). e1012179–e1012179.
2.
Flynn, Allen, et al.. (2022). Linked Metadata for FAIR Digital Objects Carrying Computable Knowledge. SHILAP Revista de lepidopterología. 8. 2 indexed citations
3.
Lester, Corey A., et al.. (2022). Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions. Journal of the American Medical Informatics Association. 29(11). 1859–1869. 1 indexed citations
4.
Lester, Corey A., et al.. (2022). Comparing the variability of ingredient, strength, and dose form information from electronic prescriptions with RxNorm drug product descriptions. Journal of the American Medical Informatics Association. 29(9). 1471–1479. 4 indexed citations
5.
Conte, Marisa, et al.. (2022). Computable phenotypes for cohort identification: core content for a new class of FAIR Digital Objects. SHILAP Revista de lepidopterología. 8.
6.
Landis‐Lewis, Zach, Allen Flynn, Allison M. Janda, & Nirav Shah. (2022). A Scalable Service to Improve Health Care Quality Through Precision Audit and Feedback: Proposal for a Randomized Controlled Trial. JMIR Research Protocols. 11(5). e34990–e34990. 3 indexed citations
7.
Alper, Brian S., Allen Flynn, Bruce E. Bray, et al.. (2021). Categorizing metadata to help mobilize computable biomedical knowledge. Learning Health Systems. 6(1). e10271–e10271. 11 indexed citations
8.
Friedman, Charles P., et al.. (2021). Partnership development of the COVID-19 Front Door: a best evidence resource. Journal of the Medical Library Association JMLA. 109(4). 680–683.
9.
10.
Lester, Corey A., Antoinette B. Coe, Michael P. Dorsch, Karen B. Farris, & Allen Flynn. (2020). A learning pharmacy practice enabled by the pharmacists’ patient care process. Journal of the American Pharmacists Association. 60(6). e66–e72. 1 indexed citations
11.
12.
Clauson, Kevin A., et al.. (2018). A Progress Report on the State of Pharmacy Informatics Education in US Pharmacy Schools and Colleges. American Journal of Pharmaceutical Education. 82(7). 6332–6332. 12 indexed citations
13.
Iott, Bradley, et al.. (2018). A Rapid Process for Identifying and Prioritizing Technology-Based Tools for Health System Implementation. JMIR Cancer. 4(2). e11195–e11195. 1 indexed citations
14.
Richesson, Rachel, et al.. (2018). Metadata Standards for Computable Biomedical Knowledge (CBK). Deep Blue (University of Michigan). 4 indexed citations
15.
Flynn, Allen, Predrag Klasnja, & Charles P. Friedman. (2014). MedMinify: An Advice-giving System for Simplifying the Schedules of Daily Home Medication Regimens Used to Treat Chronic Conditions.. PubMed. 2014. 1728–37. 2 indexed citations
16.
Flynn, Allen, et al.. (2013). Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system. Journal of the American Medical Informatics Association. 21(3). 569–573. 19 indexed citations
17.
Flynn, Allen, et al.. (2012). Meaningful collaboration. Nursing Management. 43(12). 2–5. 6 indexed citations
18.
Flynn, Allen & Seena L. Haines. (2012). Pharmacists’ requirement for continuity of the clinical narrative in the electronic medical record. American Journal of Health-System Pharmacy. 69(12). 1027–1029. 3 indexed citations
19.
Fox, Brent I., et al.. (2008). Pharmacy Informatics Syllabi in Doctor of Pharmacy Programs in the US. American Journal of Pharmaceutical Education. 72(4). 89–89. 35 indexed citations
20.
Wang, Pan‐Fen, Allen Flynn, Michael J. McLeish, & George L. Kenyon. (2005). Loop Movement and Catalysis in Creatine Kinase. IUBMB Life. 57(4-5). 355–362. 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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