Jia Bian

405 citations
12 papers · 276 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering

Papers in

    • Cancer-related gene regulation 2
    • Circular RNAs in diseases 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • Breast Cancer Treatment Studies 2

Jia Bian

10 papers receiving 274 citations

Peers

Jia Bian
Comparison fields: 5 of 61
  • Cancer Research 74
  • Molecular Biology 174
  • Oncology 69
  • Pathology and Forensic Medicine 38
  • Obstetrics and Gynecology 10
Replace Ami Maruyama with:
Ami Maruyama Japan
Marina Riggio Argentina
Binbin Cui China
Marjolein Droog Netherlands
Fabio De Martino Switzerland
Ifra Mushtaq India
Samar Masoumi Moghaddam Australia
Xiaolong Cheng China
Shuoer Wang China
Chunxu Yang China
Jia Bian relative to Ami Maruyama Japan Ami Maruyama's profile →
Citations per field
00.5×1.5×
Ami Maruyama · 1×
Citations per year

Countries citing papers authored by Jia Bian

Since Specialization
Citations

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

Fields of papers citing papers by Jia Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2020175
2 202140
3 201814
4 202010
5 202010
6 20209
7 20257
8 20215
9 20174
10 20172
11 20250
12 20250

About Jia Bian

Jia Bian is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Obstetrics and Gynecology, having authored 12 papers that have together received 276 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), Breast Cancer Treatment Studies (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Advanced Breast Cancer Therapies (2 papers), Cancer-related gene regulation (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (74 citations), Molecular Biology (174 citations), Oncology (69 citations), Pathology and Forensic Medicine (38 citations) and Obstetrics and Gynecology (10 citations). Jia Bian has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Chunhua Wan, Ron Firestein, Marius Dannappel, H. Chua, Tomasz Cierpicki, Anh Doan, Dakang Xu, Jolanta Grembecka, Danxi Zhu and Yue Li. Their work appears in journals such as Journal of Molecular Liquids, Cells, Medicine, Science Advances and Journal of Molecular Histology.

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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