David A. Hanauer

7.7k total citations · 2 hit papers
111 papers, 3.7k citations indexed

About

David A. Hanauer is a scholar working on Health Information Management, Molecular Biology and General Health Professions. According to data from OpenAlex, David A. Hanauer has authored 111 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Health Information Management, 30 papers in Molecular Biology and 30 papers in General Health Professions. Recurrent topics in David A. Hanauer's work include Electronic Health Records Systems (29 papers), Biomedical Text Mining and Ontologies (24 papers) and Mobile Health and mHealth Applications (14 papers). David A. Hanauer is often cited by papers focused on Electronic Health Records Systems (29 papers), Biomedical Text Mining and Ontologies (24 papers) and Mobile Health and mHealth Applications (14 papers). David A. Hanauer collaborates with scholars based in United States, Vietnam and China. David A. Hanauer's co-authors include Kai Zheng, Qiaozhu Mei, Sung Won Choi, Achamyeleh Gebremariam, Dianne Singer, Matthew M. Davis, Ritu Khanna, James Law, Katherine Wentzell and Lori M. Laffel and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Blood.

In The Last Decade

David A. Hanauer

105 papers receiving 3.6k citations

Hit Papers

Supporting information retrieval from electronic health r... 2014 2026 2018 2022 2015 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Hanauer United States 34 983 587 560 505 495 111 3.7k
Abel Kho United States 29 530 0.5× 534 0.9× 641 1.1× 399 0.8× 608 1.2× 126 3.1k
Leslie Lenert United States 38 1.1k 1.1× 389 0.7× 233 0.4× 616 1.2× 296 0.6× 181 4.2k
Jinoos Yazdany United States 47 614 0.6× 210 0.4× 416 0.7× 548 1.1× 397 0.8× 251 8.1k
Monique Jaspers Netherlands 31 1.3k 1.3× 1.1k 1.8× 333 0.6× 1.0k 2.1× 184 0.4× 149 4.5k
Mark L. Graber United States 35 976 1.0× 541 0.9× 591 1.1× 1.9k 3.7× 289 0.6× 112 5.9k
K. Ann McKibbon Canada 33 2.3k 2.3× 575 1.0× 386 0.7× 969 1.9× 307 0.6× 81 5.2k
David F. Lobach United States 29 1.2k 1.2× 2.1k 3.6× 803 1.4× 1.1k 2.1× 468 0.9× 97 5.5k
Joe Kai United Kingdom 35 978 1.0× 437 0.7× 125 0.2× 888 1.8× 368 0.7× 147 4.5k
Kensaku Kawamoto United States 27 971 1.0× 1.8k 3.1× 643 1.1× 792 1.6× 485 1.0× 165 4.4k
Michael F. Chiang United States 49 390 0.4× 769 1.3× 609 1.1× 645 1.3× 539 1.1× 348 9.3k

Countries citing papers authored by David A. Hanauer

Since Specialization
Citations

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

Fields of papers citing papers by David A. Hanauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Hanauer

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Hanauer. A scholar is included among the top collaborators of David A. Hanauer 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 A. Hanauer. David A. Hanauer 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.
Richesson, Rachel, Thomas R. Campion, Boyd M. Knosp, & David A. Hanauer. (2025). LOINC implementation approaches in academic medical research centers – results from a survey of CTSA sites. Journal of Clinical and Translational Science. 9(1). e223–e223.
2.
Cao, Xiao, Adam G. Horwitz, Steve Shea, et al.. (2024). Trends in Mental Health Outcomes of College Students Amid the Pandemic (Roadmap mHealth App): Longitudinal Observational Study. Journal of Medical Internet Research. 27. e67627–e67627. 1 indexed citations
4.
He, Lu, et al.. (2020). Developing a standardized protocol for computational sentiment analysis research using health-related social media data. Journal of the American Medical Informatics Association. 28(6). 1125–1134. 10 indexed citations
6.
Salvatore, Maxwell, Lauren J. Beesley, Lars G. Fritsche, et al.. (2020). Phenotype risk scores (PheRS) for pancreatic cancer using time-stamped electronic health record data: Discovery and validation in two large biobanks. Journal of Biomedical Informatics. 113. 103652–103652. 21 indexed citations
8.
Weng, Chunhua, et al.. (2019). Dialogue Analysis for Clinical Data Query Mediation. Studies in health technology and informatics. 264. 1398–1402. 1 indexed citations
9.
Fauer, Alex, Flora Hoodin, Lyndsey Runaas, et al.. (2018). Impact of a health information technology tool addressing information needs of caregivers of adult and pediatric hematopoietic stem cell transplantation patients. Supportive Care in Cancer. 27(6). 2103–2112. 24 indexed citations
10.
Tan, Meng H., et al.. (2016). Design, development and deployment of a Diabetes Research Registry to facilitate recruitment in clinical research. Contemporary Clinical Trials. 47. 202–208. 16 indexed citations
11.
Hruby, Gregory W., Luke V. Rasmussen, David A. Hanauer, et al.. (2016). A multi-site cognitive task analysis for biomedical query mediation. International Journal of Medical Informatics. 93. 74–84. 1 indexed citations
12.
Hanauer, David A., et al.. (2016). Time dependent patient no-show predictive modelling development. International Journal of Health Care Quality Assurance. 29(4). 475–488. 35 indexed citations
13.
Maher, Molly E., David A. Hanauer, Elizabeth Kaziunas, et al.. (2015). A Novel Health Information Technology Communication System to Increase Caregiver Activation in the Context of Hospital-Based Pediatric Hematopoietic Cell Transplantation: A Pilot Study. JMIR Research Protocols. 4(4). e119–e119. 21 indexed citations
14.
Hanauer, David A., Melissa Gardner, & David E. Sandberg. (2014). Unbiased Identification of Patients with Disorders of Sex Development. PLoS ONE. 9(9). e108702–e108702. 9 indexed citations
15.
Hanauer, David A., Mohammed Saeed, Kai Zheng, et al.. (2014). Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. Journal of the American Medical Informatics Association. 21(5). 925–937. 19 indexed citations
16.
Weizer, Jennifer S., et al.. (2013). Ophthalmologists’ Attitudes on Implementing an Electronic Health Record System. Investigative Ophthalmology & Visual Science. 54(15). 4425–4425. 1 indexed citations
17.
King, Elizabeth A., David A. Hanauer, Sung Won Choi, et al.. (2013). Osteochondromas After Radiation for Pediatric Malignancies. Journal of Pediatric Orthopaedics. 34(3). 331–335. 7 indexed citations
18.
Gaies, Michael, Sunkyung Yu, Janet E. Donohue, et al.. (2012). Risk factors for surgical site infection in pediatric cardiac surgery patients undergoing delayed sternal closure. Journal of Thoracic and Cardiovascular Surgery. 146(2). 326–333. 55 indexed citations
19.
Hanauer, David A., et al.. (2004). Internet Use Among Community College Students: Implications in Designing Healthcare Interventions. Journal of American College Health. 52(5). 197–202. 86 indexed citations
20.
Hanauer, David A., et al.. (2003). Use of the Internet for seeking health care information among young adults.. PubMed. 857–857. 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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