Bin Wan

3.9k citations
78 papers · 3.3k · h-index 32

Impact in

Papers in

Bin Wan

75 papers receiving 3.3k citations

Peers

Bin Wan
Comparison fields: 5 of 129
  • Health, Toxicology and Mutagenesis 834
  • Pollution 642
  • Environmental Chemistry 424
  • Renewable Energy, Sustainability and the Environment 587
  • Industrial and Manufacturing Engineering 308
Replace Qian Luo with:
Qian Luo China
Aifeng Liu China
Yongze Liu China
Runren Jiang China
Bentuo Xu China
Yu Yang China
Stacey L. Harper United States
Liangliang Ji China
Appala Raju Badireddy United States
He Zhang China
Bin Wan relative to Qian Luo China Qian Luo's profile →
Citations per field
00.5×1.5×2.3×
Qian Luo · 1×
Citations per year

Countries citing papers authored by Bin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015349
2 2020259
3 2015160
4 2020158
5 2013151
6 2013149
7 2017143
8 2016129
9 2015109
10 2019102
11 2019102
12 2014100
13 201384
14 201883
15 200560
16 201459
17 201759
18 201952
19 202052
20 202351

About Bin Wan

Bin Wan is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Materials Chemistry, Insect Science and Biomedical Engineering, having authored 78 papers that have together received 3.3k indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (9 papers), Per- and polyfluoroalkyl substances research (9 papers), Graphene and Nanomaterials Applications (9 papers), Toxic Organic Pollutants Impact (9 papers), Environmental Toxicology and Ecotoxicology (8 papers), Insect and Pesticide Research (7 papers), Nanoparticles: synthesis and applications (7 papers) and Invertebrate Immune Response Mechanisms (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (834 citations), Pollution (642 citations), Environmental Chemistry (424 citations), Renewable Energy, Sustainability and the Environment (587 citations) and Industrial and Manufacturing Engineering (308 citations). Bin Wan has collaborated with scholars based in China, France and United States. Frequent co-authors include Liang‐Hong Guo, Lixia Zhao, Yu Yang, Xiaomin Ren, Hui Zhang, Oluniyi O. Fadare, Yu Yang, Xin Yan, Fanglan Geng and Weiping Qin. Their work appears in journals such as Environmental Science & Technology, Journal of Environmental Sciences, Environmental Pollution, Chemosphere and Biochemical Pharmacology.

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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