David Kreda

1.4k total citations · 1 hit paper
21 papers, 868 citations indexed

About

David Kreda is a scholar working on Health Information Management, General Health Professions and Molecular Biology. According to data from OpenAlex, David Kreda has authored 21 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health Information Management, 8 papers in General Health Professions and 6 papers in Molecular Biology. Recurrent topics in David Kreda's work include Electronic Health Records Systems (9 papers), Mobile Health and mHealth Applications (8 papers) and Genomics and Rare Diseases (3 papers). David Kreda is often cited by papers focused on Electronic Health Records Systems (9 papers), Mobile Health and mHealth Applications (8 papers) and Genomics and Rare Diseases (3 papers). David Kreda collaborates with scholars based in United States and China. David Kreda's co-authors include Isaac S. Kohane, Kenneth D. Mandl, Joshua C. Mandel, Rachel Ramoni, Ross Koppel, Jeremy L. Warner, Gil Alterovitz, Yishen Chen, Mollie Ullman-Culleré and Peijin Zhang and has published in prestigious journals such as JAMA, Journal of the American Medical Informatics Association and American Society of Clinical Oncology Educational Book.

In The Last Decade

David Kreda

20 papers receiving 833 citations

Hit Papers

SMART on FHIR: a standards-based, interoperable apps plat... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kreda United States 9 412 185 180 167 149 21 868
Joshua C. Mandel United States 15 517 1.3× 218 1.2× 215 1.2× 254 1.5× 222 1.5× 31 1.1k
Keith Marsolo United States 20 308 0.7× 221 1.2× 236 1.3× 174 1.0× 232 1.6× 63 1.5k
Martin Sedlmayr Germany 16 200 0.5× 124 0.7× 154 0.9× 215 1.3× 182 1.2× 111 984
Sylvia Thun Germany 13 208 0.5× 164 0.9× 176 1.0× 115 0.7× 191 1.3× 59 882
Daniel J. Nigrin United States 15 212 0.5× 179 1.0× 117 0.7× 140 0.8× 114 0.8× 22 797
Rachel Richesson United States 22 377 0.9× 291 1.6× 516 2.9× 200 1.2× 382 2.6× 92 1.6k
Dipak Kalra United Kingdom 22 545 1.3× 341 1.8× 302 1.7× 264 1.6× 259 1.7× 108 1.4k
H C Chueh United States 10 338 0.8× 194 1.0× 307 1.7× 145 0.9× 282 1.9× 25 1.2k
Petra Knaup Germany 18 687 1.7× 283 1.5× 436 2.4× 339 2.0× 239 1.6× 118 1.4k
Judith Logan United States 15 220 0.5× 134 0.7× 98 0.5× 198 1.2× 151 1.0× 54 1.3k

Countries citing papers authored by David Kreda

Since Specialization
Citations

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

Fields of papers citing papers by David Kreda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kreda

This figure shows the co-authorship network connecting the top 25 collaborators of David Kreda. A scholar is included among the top collaborators of David Kreda 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 David Kreda. David Kreda 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
3.
Kreda, David, et al.. (2022). New Ways for Patients to Make Sense of Their Electronic Health Record Data Using the Discovery Web Application: Think-Aloud Evaluation Study. JMIR Formative Research. 7. e41346–e41346. 2 indexed citations
4.
Dai, Huanqin, Anvita Gupta, David Kreda, et al.. (2021). Computational prediction and validation of specific EmbR binding site on PknH. Synthetic and Systems Biotechnology. 6(4). 429–436. 3 indexed citations
5.
Gordon, William J., et al.. (2021). Patient-led data sharing for clinical bioinformatics research: USCDI and beyond. Journal of the American Medical Informatics Association. 28(10). 2298–2300. 6 indexed citations
6.
Alterovitz, Gil, Bret S.E. Heale, David Kreda, et al.. (2020). FHIR Genomics: enabling standardization for precision medicine use cases. npj Genomic Medicine. 5(1). 13–13. 30 indexed citations
7.
Mandel, Joshua C. & David Kreda. (2017). Sync for Science (S4S): Helping patients share EHR data with research.. AMIA.
8.
Koppel, Ross & David Kreda. (2017). Health Care Information Technology Vendors' "Hold Harmless" Clause. 1 indexed citations
9.
Patt, Debra A., Elmer V. Bernstam, Joshua C. Mandel, David Kreda, & Jeremy L. Warner. (2017). More Medicine, Fewer Clicks: How Informatics Can Actually Help Your Practice. American Society of Clinical Oncology Educational Book. 37. 450–459. 1 indexed citations
10.
Mandel, Joshua C., David Kreda, Kenneth D. Mandl, Isaac S. Kohane, & Rachel Ramoni. (2016). SMART on FHIR: A standards-based, interoperable apps platform. Journal of the American Medical Informatics Association. 1 indexed citations
11.
Warner, Jeremy L., Matthew J. Rioth, Kenneth D. Mandl, et al.. (2016). SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care. Journal of the American Medical Informatics Association. 23(4). 701–710. 53 indexed citations
12.
Mandel, Joshua C., David Kreda, Kenneth D. Mandl, Isaac S. Kohane, & Rachel Ramoni. (2016). SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. Journal of the American Medical Informatics Association. 23(5). 899–908. 463 indexed citations breakdown →
13.
Alterovitz, Gil, Jeremy L. Warner, Peijin Zhang, et al.. (2015). SMART on FHIR Genomics: facilitating standardized clinico-genomic apps. Journal of the American Medical Informatics Association. 22(6). 1173–1178. 83 indexed citations
14.
Mandel, Joshua C., David Kreda, Liora Alschuler, et al.. (2014). Are Meaningful Use Stage 2 certified EHRs ready for interoperability? Findings from the SMART C-CDA Collaborative. Journal of the American Medical Informatics Association. 21(6). 1060–1068. 66 indexed citations
15.
Warner, Jeremy L., Joshua C. Denny, David Kreda, & Gil Alterovitz. (2014). Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization. Journal of the American Medical Informatics Association. 22(2). 324–329. 20 indexed citations
16.
Warner, Jeremy L., Joshua C. Denny, David Kreda, & Gil Alterovitz. (2013). Analytic Approaches to Phenotypic Complexity.. 1267. 1 indexed citations
17.
Mandl, Kenneth D., Joshua C. Mandel, Shawn N. Murphy, et al.. (2012). The SMART Platform: early experience enabling substitutable applications for electronic health records. Journal of the American Medical Informatics Association. 19(4). 597–603. 41 indexed citations
18.
Koppel, Ross & David Kreda. (2010). Healthcare IT Usability and Suitability for Clinical Needs: Challenges of Design, Workflow, and Contractual Relations. Studies in health technology and informatics. 157. 7–14. 29 indexed citations
19.
Koppel, Ross & David Kreda. (2009). Health Care Information Technology Vendors' “Hold Harmless” Clause. JAMA. 301(12). 1276–1276. 60 indexed citations
20.
Koppel, Ross & David Kreda. (2009). Clinicians Harmless" Clause: Implications for Patients and Health Care Information Technology Vendors' "Hold. 1 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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