Frank DeFalco
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Surgery
- Artificial Intelligence top 10%
- Health Information Management top 1%
- Co-authors
- Patrick RyanMartijn J. SchuemieŽhong YuanJesse A. BerlinPaul StangErica A. VossNorman RosenthalChris Knoll
- Topics
- Diabetes Treatment and Management (6 papers)Biomedical Text Mining and Ontologies (3 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Frank DeFalco
23 papers receiving 902 citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 339
- Molecular Biology 230
- Surgery 161
- Artificial Intelligence 144
- Health Information Management 127
Countries citing papers authored by Frank DeFalco
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 52 | |
| 5 | Reopening businesses and risk of COVID-19 transmission (vol 4, pg 67, 2021) | 2 |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | 2 | |
| 12 | 38 | |
| 13 | 151 | |
| 14 | 8 | |
| 15 | 57 | |
| 16 | 43 | |
| 17 | 200 | |
| 18 | 182 | |
| 19 | 15 | |
| 20 | 2 |
About Frank DeFalco
Frank DeFalco is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism and Toxicology, having authored 24 papers that have together received 934 indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Information Management (127 citations), Endocrinology, Diabetes and Metabolism (339 citations) and Health Informatics (23 citations). Frank DeFalco has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Patrick Ryan, Martijn J. Schuemie, Žhong Yuan, Jesse A. Berlin, Paul Stang, Erica A. Voss, Norman Rosenthal, Chris Knoll, John B. Buse and Mehul Desai. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.