Eva Chang

1.0k citations
33 papers · 669 · h-index 16

Impact in

Papers in

    • Healthcare cost, quality, practices 6
    • Interpreting and Communication in Healthcare 3
    • Primary Care and Health Outcomes 2
    • Healthcare Policy and Management 3
    • Health Systems, Economic Evaluations, Quality of Life 2

Eva Chang

31 papers receiving 651 citations

Peers

Eva Chang
Comparison fields: 5 of 76
  • General Health Professions 271
  • Health Information Management 27
  • Family Practice 7
  • Economics and Econometrics 89
  • Pharmacy 10
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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 201560
3 201347
4 201342
5 201439
6 201537
7 197236
8
Racial/ethnic variation in devices used to access patient portals.
201836
9 202433
10 201732
11 202232
12 201531
13 201725
14 201624
15 201423
16 202216
17 201514
18 202214
19 201411
20 201411

About Eva Chang

Eva Chang is a scholar working on General Health Professions, Economics and Econometrics, Health Information Management, Molecular Biology and Pathology and Forensic Medicine, having authored 33 papers that have together received 669 indexed citations. Recurring topics across this work include Healthcare cost, quality, practices (6 papers), Healthcare Policy and Management (3 papers), Interpreting and Communication in Healthcare (3 papers), Primary Care and Health Outcomes (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Electronic Health Records Systems (2 papers), Color perception and design (1 paper) and Intellectual Property and Patents (1 paper). The work is most often cited by research in General Health Professions (271 citations), Health Information Management (27 citations), Family Practice (7 citations), Economics and Econometrics (89 citations) and Pharmacy (10 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, Nancy D Berkman, John F. P. Bridges, Ernest Moy, Marguerite L Barrett, Hsien‐Yen Chang, C. E. Dolman and Rania Ali. Their work appears in journals such as Medical Care, Journal of General Internal Medicine, Journal of Health Care for the Poor and Underserved, Annals of Internal Medicine and JAMA Network Open.

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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