Ce Bian

808 citations
36 papers · 578 · h-index 13

Impact in

    • Endometriosis Research and Treatment
    • Ovarian cancer diagnosis and treatment
    • Ovarian function and disorders
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 4
    • Ovarian cancer diagnosis and treatment 9
    • Endometriosis Research and Treatment 2
    • Ovarian function and disorders 2

Ce Bian

33 papers receiving 569 citations

Peers

Ce Bian
Comparison fields: 5 of 70
  • Reproductive Medicine 138
  • Cancer Research 185
  • Obstetrics and Gynecology 53
  • Molecular Biology 255
  • Nephrology 23
Replace Gianfranco Zannoni with:
Gianfranco Zannoni Italy
Jia Wu China
Yingyi Zhang China
Yoshiaki Norimatsu Japan
Chih‐Long Chang Taiwan
Hayriye Tatlı Doğan Türkiye
Francesca Colonese Italy
P. Athanassiades Greece
Turgut Kaçan Türkiye
M Haeger Sweden
Ce Bian relative to Gianfranco Zannoni Italy Gianfranco Zannoni's profile →
Citations per field
00.5×5.3×
Gianfranco Zannoni · 1×
Citations per year

Countries citing papers authored by Ce Bian

Since Specialization
Citations

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

Fields of papers citing papers by Ce Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201289
2 201972
3 201542
4 201841
5 202237
6 201735
7 201733
8 201224
9 202022
10 202118
11 202016
12 202116
13 201114
14 202311
15 201511
16 202110
17 20249
18 20229
19 20228
20 20217

About Ce Bian

Ce Bian is a scholar working on Molecular Biology, Reproductive Medicine, Obstetrics and Gynecology, Cancer Research and Oncology, having authored 36 papers that have together received 578 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Circular RNAs in diseases (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Endometriosis Research and Treatment (2 papers), Ovarian function and disorders (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Reproductive Medicine (138 citations), Cancer Research (185 citations), Obstetrics and Gynecology (53 citations), Molecular Biology (255 citations) and Nephrology (23 citations). Ce Bian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xia Zhao, Tao Yi, Xiaorong Qi, Shengtao Zhou, Xiaojuan Lin, Xia Zhao, Yuquan Wei, Fan Yang, Xianghuo He and Jingyi Li. Their work appears in journals such as Medicine, Frontiers in Oncology, Archives of Gynecology and Obstetrics, Frontiers in Cardiovascular Medicine and Cancer Letters.

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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