Wan-Ping Bian

1.3k citations
21 papers · 1.0k · 1 hit paper · h-index 14

Impact in

Papers in

Wan-Ping Bian

21 papers receiving 1.0k citations

Wan-Ping Bian's Hit Papers

Zebrafish as a model system to study toxicology 2013 · 441 citations
4410+4+8Years since publication100200300400

Peers

Wan-Ping Bian
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 261
  • Biochemistry 95
  • Pollution 137
  • Aging 18
  • Cell Biology 145
Replace Saltuk Buğrahan Ceyhun with:
Saltuk Buğrahan Ceyhun Türkiye
Cheol-Min Kim South Korea
Xuefang Liang China
Jung‐Ren Chen Taiwan
Jie Gu China
Raquel Ruivo Portugal
Elisabet Teixidó Spain
Wei You China
Patrícia Ramos Brazil
Turgay Şi̇şman Türkiye
Wan-Ping Bian relative to Saltuk Buğrahan Ceyhun Türkiye Saltuk Buğrahan Ceyhun's profile →
Citations per field
00.5×3.7×
Saltuk Buğrahan Ceyhun · 1×
Citations per year

Countries citing papers authored by Wan-Ping Bian

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Ping Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Zebrafish as a model system to study toxicology
Hit paper breakdown →
2013441
2 2012101
3 201190
4 201974
5 201964
6 201745
7 201135
8 201727
9 201624
10 202023
11 201822
12 202118
13 201815
14 202013
15 20249
16 20219
17 20238
18 20233
19 20243
20 20243

About Wan-Ping Bian

Wan-Ping Bian is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cell Biology, Genetics and Biomedical Engineering, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Photosynthetic Processes and Mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), Algal biology and biofuel production (3 papers), Carbon and Quantum Dots Applications (3 papers), Zebrafish Biomedical Research Applications (3 papers), Chromium effects and bioremediation (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (261 citations), Biochemistry (95 citations), Pollution (137 citations), Aging (18 citations) and Cell Biology (145 citations). Wan-Ping Bian has collaborated with scholars based in China, France and Brazil. Frequent co-authors include De‐Sheng Pei, Yanling Chen, Yanbo Ma, Na Chen, Yongfang Jia, Yujie Dai, Qinkai Li, Shaolin Xie, Cristina Barsan and Alain Lachaux. Their work appears in journals such as Journal of Hazardous Materials, Fish & Shellfish Immunology, Scientific Reports, PLANT PHYSIOLOGY and Cell Death Discovery.

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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