Yiding Bian

477 citations
19 papers · 322 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2

Yiding Bian

19 papers receiving 320 citations

Peers

Yiding Bian
Comparison fields: 5 of 65
  • Obstetrics and Gynecology 60
  • Cancer Research 69
  • Pharmacology 53
  • Immunology 58
  • Pediatrics, Perinatology and Child Health 49
Replace Xiaohong Xue with:
Xiaohong Xue China
Xiulong Niu China
Ling Yi China
Christophe Depoix Belgium
I. Moy United States
Kazuhiko Matsuzawa Japan
Laila Aryan United States
Cong Sui China
Tim Cordes Germany
Canqiao Luo China
Yiding Bian relative to Xiaohong Xue China Xiaohong Xue's profile →
Citations per field
00.5×
Xiaohong Xue · 1×
Citations per year

Countries citing papers authored by Yiding Bian

Since Specialization
Citations

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

Fields of papers citing papers by Yiding Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201756
2 202335
3 201927
4
Endocan of the maternal placenta tissue is increased in pre-eclampsia.
201526
5 201923
6 202022
7 201621
8 201520
9 201917
10 202317
11 202016
12 202112
13 20247
14 20245
15 20205
16 20234
17 20234
18 20163
19 20252

About Yiding Bian

Yiding Bian is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Physiology, having authored 19 papers that have together received 322 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (3 papers), Pregnancy and preeclampsia studies (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Nutrition and Health in Aging (3 papers), MicroRNA in disease regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (60 citations), Cancer Research (69 citations), Pharmacology (53 citations), Immunology (58 citations) and Pediatrics, Perinatology and Child Health (49 citations). Yiding Bian has collaborated with scholars based in China. Frequent co-authors include Xinwen Chang, Yiran Li, Xiaoping Wan, Tao Duan, Kai Wang, Qizhi He, Xiaoping Wan, Huan Tong, Jingping Zhu and Kai Wang. Their work appears in journals such as Oncology Reports, Redox Biology, Cell Death and Disease, Toxicology and Frontiers in Immunology.

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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