Frank DeFalco

1.8k total citations
24 papers, 934 citations indexed

About

Frank DeFalco is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Frank DeFalco has authored 24 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Frank DeFalco's work include Diabetes Treatment and Management (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Frank DeFalco is often cited by papers focused on Diabetes Treatment and Management (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Frank DeFalco collaborates with scholars based in United States, Netherlands and Belgium. Frank DeFalco's co-authors include Patrick Ryan, Martijn J. Schuemie, Žhong Yuan, Jesse A. Berlin, Paul Stang, Erica A. Voss, Norman Rosenthal, John B. Buse, Mehul Desai and Chris Knoll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Frank DeFalco

23 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank DeFalco United States 12 339 230 161 144 127 24 934
Pedro J. Caraballo United States 19 254 0.7× 171 0.7× 230 1.4× 145 1.0× 166 1.3× 69 1.4k
Alex Milinovich United States 24 438 1.3× 197 0.9× 312 1.9× 106 0.7× 105 0.8× 79 2.0k
Senthil Selvaraj United States 25 422 1.2× 272 1.2× 265 1.6× 100 0.7× 90 0.7× 73 2.6k
Terrence J Adam United States 18 178 0.5× 211 0.9× 86 0.5× 142 1.0× 115 0.9× 71 1.1k
Kershaw V. Patel United States 24 573 1.7× 183 0.8× 248 1.5× 80 0.6× 85 0.7× 82 1.9k
Ronald Tamler United States 16 389 1.1× 191 0.8× 123 0.8× 90 0.6× 65 0.5× 34 995
Matthew W. Segar United States 21 309 0.9× 376 1.6× 138 0.9× 98 0.7× 93 0.7× 68 1.6k
Seng Chan You South Korea 23 205 0.6× 146 0.6× 331 2.1× 184 1.3× 97 0.8× 125 2.0k
QiPing Feng United States 22 207 0.6× 424 1.8× 452 2.8× 128 0.9× 71 0.6× 78 1.8k
David Sutton United Kingdom 17 510 1.5× 173 0.8× 264 1.6× 92 0.6× 101 0.8× 30 1.4k

Countries citing papers authored by Frank DeFalco

Since Specialization
Citations

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

Fields of papers citing papers by Frank DeFalco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank DeFalco

This figure shows the co-authorship network connecting the top 25 collaborators of Frank DeFalco. A scholar is included among the top collaborators of Frank DeFalco 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 Frank DeFalco. Frank DeFalco 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
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Rao, Gowtham, Azza Shoaibi, Rupa Makadia, et al.. (2025). CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. PLoS ONE. 20(1). e0310634–e0310634. 3 indexed citations
3.
Schuemie, Martijn J., Jenna Reps, Adam Black, et al.. (2024). Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research. Studies in health technology and informatics. 310. 966–970. 12 indexed citations
4.
Blacketer, Clair, Frank DeFalco, Patrick Ryan, & Peter R. Rijnbeek. (2021). Increasing trust in real-world evidence through evaluation of observational data quality. Journal of the American Medical Informatics Association. 28(10). 2251–2257. 52 indexed citations
5.
O’Donoghue, Ashley L., et al.. (2021). Reopening businesses and risk of COVID-19 transmission (vol 4, pg 67, 2021). npj Digital Medicine. 4(1). 1–1. 2 indexed citations
6.
O’Donoghue, Ashley L., et al.. (2021). Reopening businesses and risk of COVID-19 transmission. npj Digital Medicine. 4(1). 51–51. 6 indexed citations
7.
O’Donoghue, Ashley L., et al.. (2021). Author Correction: Reopening businesses and risk of COVID-19 transmission. npj Digital Medicine. 4(1). 67–67. 2 indexed citations
8.
Blacketer, Clair, Erica A. Voss, Frank DeFalco, et al.. (2021). Using the Data Quality Dashboard to Improve the EHDEN Network. Applied Sciences. 11(24). 11920–11920. 12 indexed citations
9.
Yuan, Žhong, Frank DeFalco, Laura Hester, et al.. (2020). Acute pancreatitis risk in type 2 diabetes patients treated with canagliflozin versus other antihyperglycemic agents: an observational claims database study. Current Medical Research and Opinion. 36(7). 1117–1124. 3 indexed citations
10.
Kern, David M., M. Soledad Cepeda, Frank DeFalco, & Mila Etropolski. (2020). Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019. BMC Psychiatry. 20(1). 4–4. 35 indexed citations
11.
Hester, Laura, Dina Gifkins, Kevin M. Bellew, et al.. (2019). Diagnostic Delay and Characterization of the Clinical Prodrome in AL Amyloidosis: Data from 1,313 US Commercially Insured Patients between 2006-2018. Blood. 134(Supplement_1). 5517–5517. 2 indexed citations
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Yuan, Žhong, Erica A. Voss, Frank DeFalco, et al.. (2017). Risk Prediction for Ischemic Stroke and Transient Ischemic Attack in Patients Without Atrial Fibrillation: A Retrospective Cohort Study. Journal of Stroke and Cerebrovascular Diseases. 26(8). 1721–1731. 8 indexed citations
15.
Wang, Yi‐Ting, Mehul Desai, Patrick Ryan, et al.. (2017). Incidence of diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors and other antihyperglycemic agents. Diabetes Research and Clinical Practice. 128. 83–90. 57 indexed citations
16.
Hripcsak, George, Patrick Ryan, Jon Duke, et al.. (2016). Characterizing treatment pathways at scale using the OHDSI network. Proceedings of the National Academy of Sciences. 113(27). 7329–7336. 200 indexed citations
17.
Huser, Vojtech, Frank DeFalco, Martijn J. Schuemie, et al.. (2016). Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Datasets. SHILAP Revista de lepidopterología. 4(1). 24–24. 43 indexed citations
18.
Voss, Erica A., Rupa Makadia, Amy Matcho, et al.. (2015). Feasibility and utility of applications of the common data model to multiple, disparate observational health databases. Journal of the American Medical Informatics Association. 22(3). 553–564. 182 indexed citations
19.
DeFalco, Frank, Patrick Ryan, & M. Soledad Cepeda. (2012). Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure. Health Services and Outcomes Research Methodology. 13(1). 58–67. 15 indexed citations
20.
Raghavan, Nandini, et al.. (2011). Rare variant collapsing in conjunction with mean log p-value and gradient boosting approaches applied to Genetic Analysis Workshop 17 data. BMC Proceedings. 5(S9). S94–S94. 2 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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