Eva Chang

968 citations
33 papers · 621 indexed · h-index 15

Impact in

    • Healthcare cost, quality, practices
    • Primary Care and Health Outcomes
    • Mobile Health and mHealth Applications
    • Health Systems, Economic Evaluations, Quality of Life
    • Healthcare Policy and Management

Papers in

Eva Chang

31 papers receiving 605 citations

Peers

Eva Chang
Comparison fields: 5 of 82
  • General Health Professions 429
  • Economics and Econometrics 267
  • Health Information Management 41
  • Pharmacy 43
  • Family Practice 15
Replace Yevgeniy Feyman with:
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Citations per field
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Citations per year

Countries citing papers authored by Eva Chang

Since Specialization
Citations

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

Fields of papers citing papers by Eva Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Chang, 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 Eva Chang Line = papers co-authored together Eva Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Potentially preventable hospitalizations - United States, 2001-2009.
201363
2 201559
3 201347
4 201342
5 201439
6 201537
7
Racial/ethnic variation in devices used to access patient portals.
201835
8 201531
9 201730
10 202228
11 201725
12 201423
13 201622
14 197222
15 202421
16 201513
17 202212
18 201411
19 202211
20 201411

About Eva Chang

Eva Chang is a scholar working on General Health Professions, Health Information Management, Pharmacy, Economics and Econometrics and Family Practice, having authored 33 papers that have together received 621 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Healthcare cost, quality, practices (7 papers), Interpreting and Communication in Healthcare (4 papers), Primary Care and Health Outcomes (4 papers), Chronic Disease Management Strategies (4 papers), Telemedicine and Telehealth Implementation (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in General Health Professions (429 citations), Economics and Econometrics (267 citations), Health Information Management (41 citations), Pharmacy (43 citations) and Family Practice (15 citations). Eva Chang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Kitty S. Chan, Jodi B Segal, Najlla Nassery, John F. P. Bridges, Hsien‐Yen Chang, Nancy D Berkman, Marguerite L Barrett, Ernest Moy, Rania Ali and Hae‐Ra Han. Their work appears in journals such as Medical Care, Journal of General Internal Medicine, JAMA Network Open, Annals of Internal Medicine and Journal of Health Care for the Poor and Underserved.

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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