Chung Chang

33 papers receiving 986 citations

Peers

Chung Chang
Comparison fields: 5 of 101
  • Emergency Medicine 279
  • Virology 87
  • Hepatology 133
  • Orthopedics and Sports Medicine 118
  • Infectious Diseases 214
Replace June Fabian with:
June Fabian South Africa
Fabian Termorshuizen Netherlands
Federica Carli Italy
Michele H. Mokrzycki United States
Jennifer O. Lam United States
Chris T. Longenecker United States
Daniel Grima Canada
Justyna Kowalska Poland
Benjamin Young United States
Chung Chang relative to June Fabian South Africa June Fabian's profile →
Citations per field
00.5×4.9×
June Fabian · 1×
Citations per year

Countries citing papers authored by Chung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011211
2 2003144
3 2007102
4 2009101
5 200763
6 201350
7 200739
8 202037
9 200736
10 201734
11 202132
12 201419
13 201818
14
Medicaid prior authorization and opioid medication abuse and overdose.
201717
15 201616
16 201612
17 201510
18 201710
19 20159
20 20168

About Chung Chang

Chung Chang is a scholar working on Obstetrics and Gynecology, Epidemiology, Surgery, Reproductive Medicine and Oncology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (7 papers), Statistical Methods and Inference (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Cervical Cancer and HPV Research (3 papers), Liver Disease and Transplantation (3 papers), RNA modifications and cancer (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Emergency Medicine (279 citations), Virology (87 citations), Hepatology (133 citations), Orthopedics and Sports Medicine (118 citations) and Infectious Diseases (214 citations). Chung Chang has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Wishwa N. Kapoor, M. J. Fine, Eric M. Mortensen, Amy C. Justice, Mark S. Roberts, Maria C. Rodriguez‐Barradas, Cynthia L. Gibert, Jiabin Chen, An Jen Chiang and Cindy L. Bryce. Their work appears in journals such as PLoS ONE, Journal of Lower Genital Tract Disease, Statistica Sinica, Journal of Gynecologic Oncology and Clinical Infectious Diseases.

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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