Frank Chang

1.9k total citations
54 papers, 1.3k citations indexed

About

Frank Chang is a scholar working on Health Information Management, General Health Professions and Issues, ethics and legal aspects. According to data from OpenAlex, Frank Chang has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Health Information Management, 10 papers in General Health Professions and 9 papers in Issues, ethics and legal aspects. Recurrent topics in Frank Chang's work include Electronic Health Records Systems (20 papers), Nursing Diagnosis and Documentation (9 papers) and Patient Safety and Medication Errors (6 papers). Frank Chang is often cited by papers focused on Electronic Health Records Systems (20 papers), Nursing Diagnosis and Documentation (9 papers) and Patient Safety and Medication Errors (6 papers). Frank Chang collaborates with scholars based in United States, United Kingdom and Taiwan. Frank Chang's co-authors include Patricia C. Dykes, Li Zhou, Angela Benoit, David W. Bates, Ann C. Hurley, Diane L. Carroll, Maxim Topaz, Stuart R. Lipsitz, Roberto A. Rocha and Blackford Middleton and has published in prestigious journals such as JAMA, Journal of Allergy and Clinical Immunology and Journal of the American Medical Informatics Association.

In The Last Decade

Frank Chang

51 papers receiving 1.3k 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 Chang United States 19 381 352 218 158 145 54 1.3k
Stephanie Medlock Netherlands 16 308 0.8× 172 0.5× 159 0.7× 74 0.5× 58 0.4× 62 1.0k
Ruslana Tsurikova United States 13 247 0.6× 349 1.0× 146 0.7× 134 0.8× 31 0.2× 19 822
Tewodros Eguale United States 27 253 0.7× 278 0.8× 222 1.0× 93 0.6× 51 0.4× 64 2.7k
Christian M. Rochefort Canada 18 380 1.0× 79 0.2× 122 0.6× 90 0.6× 37 0.3× 40 1.1k
Robert Lucero United States 17 499 1.3× 74 0.2× 145 0.7× 69 0.4× 40 0.3× 64 957
Brian W. Patterson United States 17 153 0.4× 156 0.4× 115 0.5× 45 0.3× 84 0.6× 90 935
Magdalena Z. Raban Australia 20 377 1.0× 223 0.6× 123 0.6× 29 0.2× 23 0.2× 80 1.4k
Dereck L. Hunt Canada 11 524 1.4× 671 1.9× 387 1.8× 12 0.1× 84 0.6× 17 1.8k
Sue Moorhead United States 20 674 1.8× 316 0.9× 256 1.2× 14 0.1× 43 0.3× 100 1.8k
Teryl K. Nuckols United States 25 399 1.0× 235 0.7× 444 2.0× 16 0.1× 30 0.2× 115 2.1k

Countries citing papers authored by Frank Chang

Since Specialization
Citations

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

Fields of papers citing papers by Frank Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Chang. A scholar is included among the top collaborators of Frank Chang 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 Chang. Frank Chang 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
2.
Kang, Min‐Jeoung, Richard Schreiber, Frank Chang, et al.. (2025). Delayed Venous Thromboembolism Diagnosis and Mortality Risk. JAMA Network Open. 8(9). e2533928–e2533928.
3.
Plasek, Joseph M., Ya‐Wen Chuang, Liqin Wang, et al.. (2024). Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes. EBioMedicine. 109. 105401–105401. 15 indexed citations
4.
Syrowatka, Ania, Jin Chen, Frank Chang, et al.. (2024). Accurately identifying incident cases of venous thromboembolism in the electronic health record: Performance of a novel phenotyping algorithm. Thrombosis Research. 243. 109143–109143. 2 indexed citations
5.
Samal, Lipika, Katherine Zigmont, Arild Faxvaag, et al.. (2022). Comparison of a Voluntary Safety Reporting System to a Global Trigger Tool for Identifying Adverse Events in an Oncology Population. Journal of Patient Safety. 18(6). 611–616. 3 indexed citations
6.
Rossetti, Sarah Collins, Patricia C. Dykes, Min‐Jeoung Kang, et al.. (2021). The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial. JMIR Research Protocols. 10(12). e30238–e30238. 15 indexed citations
7.
Kang, Min‐Jeoung, Sarah Collins Rossetti, Frank Chang, et al.. (2021). Nursing Documentation Variation Across Different Medical Facilities Within an Integrated Healthcare System. CIN Computers Informatics Nursing. 39(12). 845–850. 8 indexed citations
8.
Korach, Zfania Tom, Kenrick Cato, Sarah Collins, et al.. (2019). Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event. Applied Clinical Informatics. 10(5). 952–963. 20 indexed citations
9.
Chang, Frank, et al.. (2016). Appreciative Advising: Retaining Academic Probation Students. 3(1). 1–17. 2 indexed citations
10.
Ergai, Awatef, Nao Ichihara, Ann D. Smith, et al.. (2015). User-Centered Design of the Clinical Dashboard for the MySafeCare Patient Safety Reporting System.. AMIA. 2 indexed citations
11.
McNally, Kelly, Anuj K. Dalal, Kumiko Ohashi, et al.. (2014). Developing and Testing a Web-based Interdisciplinary Patient-centered Plan of Care.. AMIA. 1 indexed citations
12.
Collins, Sarah, et al.. (2013). Content and functional specifications for a standards-based multidisciplinary rounding tool to maintain continuity across acute and critical care. Journal of the American Medical Informatics Association. 21(3). 438–447. 14 indexed citations
13.
Dykes, Patricia C., et al.. (2012). Mapping HL7 vMR to CCD and Hospital Handoff Codes.. AMIA. 1 indexed citations
14.
Dykes, Patricia C., Diane L. Carroll, Ann C. Hurley, et al.. (2012). Building and Testing a Patient-Centric Electronic Bedside Communication Center. Journal of Gerontological Nursing. 39(1). 15–19. 41 indexed citations
15.
Zhou, Li, et al.. (2011). Mapping Partners Master Drug Dictionary to RxNorm using an NLP-based approach. Journal of Biomedical Informatics. 45(4). 626–633. 25 indexed citations
16.
Zhou, Li, et al.. (2011). Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notes.. PubMed. 2011. 1639–48. 50 indexed citations
17.
Dykes, Patricia C., Diane L. Carroll, Ann C. Hurley, et al.. (2010). Fall Prevention in Acute Care Hospitals. JAMA. 304(17). 1912–1912. 257 indexed citations
18.
Dykes, Patricia C., et al.. (2007). A randomized trial of standardized nursing patient assessment using wireless devices.. PubMed. 206–10. 10 indexed citations
19.
Chang, Frank. (2006). South Florida Water Management District the Lake Okeechobee Stage-Area-Capacity Lookup Application (2004-Single Process). 18(1). 21. 1 indexed citations
20.
Linder, Jeffrey A., Matvey B. Palchuk, Frank Chang, et al.. (2006). Decision support for acute problems: The role of the standardized patient in usability testing. Journal of Biomedical Informatics. 39(6). 648–655. 15 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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