David A. Hanauer

141 papers receiving 5.5k citations

David A. Hanauer's Hit Papers

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative 2021 · 187 citations
1870+4+8Years since publication100200300

Peers

David A. Hanauer
Comparison fields: 5 of 174
  • Health Information Management 545
  • Hematology 465
  • Health Informatics 58
  • Emergency Medical Services 197
  • General Health Professions 668
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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-authors

The 25 scholars most cited alongside David A. Hanauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. Hanauer Line = papers co-authored together David A. Hanauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tocilizumab for Treatment of Mechanically Ventilated Patients With COVID-19
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2020373
2
Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)
Hit paper breakdown →
2015351
3
Public Awareness, Perception, and Use of Online Physician Rating Sites
Hit paper breakdown →
2014318
4 2009229
5 2010210
6
Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative
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2021187
7 2011156
8 2009139
9 2010133
10 2020128
11 2010122
12 2014109
13 202193
14
EMERSE: The Electronic Medical Record Search Engine.
200689
15 200488
16 202178
17 200977
18 201577
19 200770
20 201467

About David A. Hanauer

David A. Hanauer is a scholar working on Health Information Management, General Health Professions, Neurology, Organizational Behavior and Human Resource Management and Hematology, having authored 146 papers that have together received 5.7k indexed citations. Recurring topics across this work include Electronic Health Records Systems (25 papers), Mobile Health and mHealth Applications (13 papers), Biomedical Text Mining and Ontologies (10 papers), Long-Term Effects of COVID-19 (9 papers), Data Quality and Management (7 papers), Healthcare Systems and Technology (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Health Literacy and Information Accessibility (6 papers). The work is most often cited by research in Health Information Management (545 citations), Hematology (465 citations), Health Informatics (58 citations), Emergency Medical Services (197 citations) and General Health Professions (668 citations). David A. Hanauer has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Kai Zheng, Qiaozhu Mei, Sung Won Choi, Matthew M. Davis, Dianne Singer, Achamyeleh Gebremariam, James Law, Ritu Khanna, Lori M. Laffel and Katherine Wentzell. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Medical Informatics, Transplantation and Cellular Therapy, Journal of Biomedical Informatics and PLoS ONE.

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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