Wei Bian

1.6k citations
37 papers · 1.1k · h-index 16

Impact in

Papers in

    • Circular RNAs in diseases 5
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Extracellular vesicles in disease 3
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 4

Wei Bian

35 papers receiving 1.1k citations

Peers

Wei Bian
Comparison fields: 5 of 105
  • Developmental Neuroscience 126
  • Biochemistry 126
  • Cancer Research 299
  • Molecular Biology 806
  • Horticulture 4
Replace Sung Wook Park with:
Sung Wook Park United States
Yoshiharu Ohoka Japan
Rebecca J. Burgess United States
Pierre Chambon France
Simone P. Minardi Italy
Masaji Murakami Japan
Alain Mir United States
Chin‐Chun Hung Taiwan
Yuji Nishizawa Japan
Galia Maik-Rachline Israel
Wei Bian relative to Sung Wook Park United States Sung Wook Park's profile →
Citations per field
00.5×7.4×
Sung Wook Park · 1×
Citations per year

Countries citing papers authored by Wei Bian

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010207
2 2007161
3 2019143
4 200183
5 200057
6 202155
7 201649
8 200640
9 202132
10 200532
11 201931
12 202327
13 200125
14 202319
15 202315
16 200615
17 202113
18 202311
19 202110
20
Long noncoding RNA ANRIL could be transactivated by c-Myc and promote tumor progression of non-small-cell lung cancer
20169

About Wei Bian

Wei Bian is a scholar working on Molecular Biology, Cancer Research, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Astronomy and Astrophysics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), Geophysics and Sensor Technology (3 papers), Extracellular vesicles in disease (3 papers) and Advanced Frequency and Time Standards (3 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Biochemistry (126 citations), Cancer Research (299 citations), Molecular Biology (806 citations) and Horticulture (4 citations). Wei Bian has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Naihe Jing, Eduardo Purgatto, Cristina Barsan, J. C. Pêch, Christian Chervin, Isabel Egea, Mondher Bouzayen, Xuebo Qin, Baoen Shan and Zhirong Li. Their work appears in journals such as Applied Sciences, BMC Complementary Medicine and Therapies, Journal of Cellular Biochemistry, Cell Research and Journal of Analysis and Testing.

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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