Chang‐Yao Hsieh

4.7k citations
87 papers · 3.9k indexed · 1 hit paper · h-index 30

Chang‐Yao Hsieh

86 papers receiving 3.8k citations

Hit Papers

Stability of curcumin in buffer solutions and characteriz...1.4k19972026200620164008001.2k

Peers

Chang‐Yao Hsieh
Comparison fields: 5 of 133
  • Molecular Medicine 1.1k
  • Reproductive Medicine 443
  • Obstetrics and Gynecology 391
  • Pharmaceutical Science 265
  • Oncology 698
Replace Alok C. Bharti with:
Alok C. Bharti India
Longfa Kou China
Tao Yi China
Shi H China
Bülent Özpolat United States
Woong Shick Ahn South Korea
Eri S. Srivatsan United States
Yan Chen China
Anindita Chakrabarty India
Amir Abbas Momtazi‐Borojeni Iran
Chang‐Yao Hsieh relative to Alok C. Bharti India Alok C. Bharti's profile →
Citations per field
00.5×6.7×
Alok C. Bharti · 1×
Citations per year

Countries citing papers authored by Chang‐Yao Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Yao Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201316
2 20138
3 2011116
4 201037
5 201047
6 200921
7 200719
8 200430
9 20040
10
TSG101 expression in gynecological tumors: relationship to cyclin D1, cyclin E, p53 and p16 proteins.
20014
11
Characterization of chemoresistance mechanisms in a series of cisplatin-resistant transitional carcinoma cell lines.
200040
12 200094
13 19983
14 19953
15 199514
16 199536
17 199413
18 19947
19 19928
20 198918

About Chang‐Yao Hsieh

Chang‐Yao Hsieh is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Microbiology, Immunology and Epidemiology, having authored 87 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (20 papers), Endometrial and Cervical Cancer Treatments (20 papers), Ovarian cancer diagnosis and treatment (19 papers), Angiogenesis and VEGF in Cancer (12 papers), Immunotherapy and Immune Responses (8 papers), Genital Health and Disease (5 papers), Reproductive tract infections research (5 papers) and Endometriosis Research and Treatment (5 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Reproductive Medicine (443 citations), Obstetrics and Gynecology (391 citations), Pharmaceutical Science (265 citations) and Oncology (698 citations). Chang‐Yao Hsieh has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Ann‐Lii Cheng, Jen‐Kun Lin, Ying‐Jan Wang, Min‐Hsiung Pan, Yuan‐Soon Ho, Liang‐In Lin, Chi‐An Chen, Wen‐Fang Cheng, Chien‐Nan Lee and Lin‐Hung Wei. Their work appears in journals such as Gynecologic Oncology, International Journal of Cancer, Molecular Therapy, Obstetrics and Gynecology and Cancer.

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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