Kun Wang

10.8k citations
293 papers · 8.7k · 1 hit paper · h-index 49

Impact in

Papers in

Kun Wang

278 papers receiving 8.6k citations

Kun Wang's Hit Papers

BPA and low-Se exacerbate apoptosis and mitophagy in chicken pancreatic cells by regulating the PTEN/PI3K/AKT/mTOR pathway 2024 · 70 citations
700+1Years since publication204060

Peers

Kun Wang
Comparison fields: 5 of 182
  • Health, Toxicology and Mutagenesis 2.4k
  • Water Science and Technology 2.2k
  • Pollution 1.6k
  • Environmental Engineering 1.7k
  • Industrial and Manufacturing Engineering 754
Replace Jianbing Li with:
Jianbing Li China
Godwin A. Ayoko Australia
Xilong Wang China
Di He China
Yuan Liu China
Manish Kumar India
Rajasekhar Balasubramanian‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Singapore
Jin Zhang China
M.C.M. Alvim-Ferraz Portugal
Lei Duan China
Kun Wang relative to Jianbing Li China Jianbing Li's profile →
Citations per field
00.5×1.5×1.8×
Jianbing Li · 1×
Citations per year

Countries citing papers authored by Kun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 293 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013309
2 2017302
3 2020282
4 2015244
5 2012241
6 2019209
7 2021200
8 2016177
9 2014175
10 1999171
11 2019170
12 2011158
13 2012146
14 2015121
15 2015120
16 2020120
17 2017104
18 201495
19 201195
20 201495

About Kun Wang

Kun Wang is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Pollution, Environmental Engineering and Atmospheric Science, having authored 293 papers that have together received 8.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (47 papers), Atmospheric chemistry and aerosols (35 papers), Wastewater Treatment and Nitrogen Removal (31 papers), Microbial Fuel Cells and Bioremediation (27 papers), Advanced oxidation water treatment (24 papers), Membrane Separation Technologies (21 papers), Heavy metals in environment (19 papers) and Water Treatment and Disinfection (18 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.4k citations), Water Science and Technology (2.2k citations), Pollution (1.6k citations), Environmental Engineering (1.7k citations) and Industrial and Manufacturing Engineering (754 citations). Kun Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qingliang Zhao, Liangliang Wei, Junqiu Jiang, Hezhong Tian, Jiajia Gao, Jing Ding, Shenbing Hua, Chuanyong Zhu, Duu‐Jong Lee and Huanting Wang. Their work appears in journals such as The Science of The Total Environment, Chemical Engineering Journal, Bioresource Technology, Atmospheric Environment and Journal of Hazardous Materials.

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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