Wei‐Chun Chang

80 papers receiving 891 citations

Peers

Wei‐Chun Chang
Comparison fields: 5 of 135
  • Obstetrics and Gynecology 75
  • Reproductive Medicine 54
  • Cancer Research 75
  • Renewable Energy, Sustainability and the Environment 71
  • Surgery 121
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Heng Zou China
Marcin Matuszewski Poland
Lin Xiong China
Chun‐Te Wu Taiwan
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Guoli Liu China
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Wei‐Chun Chang relative to Heng Zou China Heng Zou's profile →
Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Wei‐Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201068
2 201968
3 200644
4 201339
5 201836
6 200634
7 201632
8 201832
9
Usefulness of whole body positron emission tomography (PET) with 18F-fluoro-2-deoxyglucose (FDG) to detect recurrent ovarian cancer based on asymptomatically elevated serum levels of tumor marker.
200232
10 201929
11 202128
12 202126
13 201624
14 202220
15 200220
16 200518
17 201917
18 201816
19 200216
20 202116

About Wei‐Chun Chang

Wei‐Chun Chang is a scholar working on Surgery, Obstetrics and Gynecology, Molecular Biology, Cancer Research and Cell Biology, having authored 82 papers that have together received 916 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (6 papers), Uterine Myomas and Treatments (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Advanced Photocatalysis Techniques (4 papers), Cancer, Lipids, and Metabolism (4 papers), Advancements in Photolithography Techniques (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Reproductive Medicine (54 citations), Cancer Research (75 citations), Renewable Energy, Sustainability and the Environment (71 citations) and Surgery (121 citations). Wei‐Chun Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yao‐Ching Hung, Wen‐Lung Ma, Chia-Pin Yu, Lumin Chen, Hsing‐Wen Sung, Po-Hong Lai, Sung-Ching Chen, Yogesh S. Tingare, Chaochin Su and Wen‐Ren Li. Their work appears in journals such as Journal of Cellular and Molecular Medicine, International Journal of Molecular Sciences, International Journal of Gynecology & Obstetrics, Cancer Medicine and Tissue Engineering.

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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