Xiaohong Chang

1.6k citations
79 papers · 910 · h-index 19

Impact in

Papers in

Xiaohong Chang

75 papers receiving 893 citations

Peers

Xiaohong Chang
Comparison fields: 5 of 86
  • Reproductive Medicine 380
  • Obstetrics and Gynecology 148
  • Cancer Research 146
  • Immunology 157
  • Oncology 102
Replace Lyndal Anderson with:
Lyndal Anderson Australia
Ting-Chang Chang Taiwan
M. Amneus United States
Chad A. Hamilton United States
Mu‐Hsien Yu Taiwan
Seiji Kanayama Japan
Jason D. Thorpe United States
S. Pecorelli Italy
Yasuto Kinose Japan
Sílvia Cabrera Spain
Xiaohong Chang relative to Lyndal Anderson Australia Lyndal Anderson's profile →
Citations per field
00.5×2.9×
Lyndal Anderson · 1×
Citations per year

Countries citing papers authored by Xiaohong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201170
2 201952
3 201838
4 202233
5 201832
6
Tumor-derived exosomal circRNA051239 promotes proliferation and migration of epithelial ovarian cancer.
202129
7 201728
8 202127
9 202024
10 201422
11 201522
12 202422
13 201921
14 202121
15 201120
16 202018
17 201218
18 201718
19 201518
20 200918

About Xiaohong Chang

Xiaohong Chang is a scholar working on Reproductive Medicine, Molecular Biology, Obstetrics and Gynecology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 79 papers that have together received 910 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (20 papers), Endometrial and Cervical Cancer Treatments (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Uterine Myomas and Treatments (7 papers), Reproductive System and Pregnancy (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Reproductive Medicine (380 citations), Obstetrics and Gynecology (148 citations), Cancer Research (146 citations), Immunology (157 citations) and Oncology (102 citations). Xiaohong Chang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xue Ye, Ruiqiong Ma, Hongyan Cheng, Heng Cui, Honglan Zhu, Heng Cui, Yan Zhao, Heng Cui, Yue Wang and Zhao Tian. Their work appears in journals such as Journal of Ovarian Research, International Journal of Gynecological Cancer, Biology of Reproduction, Bioorganic Chemistry and Free Radical Biology and Medicine.

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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