Jun Wu

6.8k citations
179 papers · 5.6k · h-index 42

Impact in

Papers in

    • Pharmaceutical and Antibiotic Environmental Impacts 37
    • Microplastics and Plastic Pollution 31
    • Heavy metals in environment 24
    • Effects and risks of endocrine disrupting chemicals 17
    • Toxic Organic Pollutants Impact 12

Jun Wu

170 papers receiving 5.6k citations

Peers

Jun Wu
Comparison fields: 5 of 153
  • Pollution 3.1k
  • Industrial and Manufacturing Engineering 912
  • Water Science and Technology 1.1k
  • Molecular Medicine 351
  • Geochemistry and Petrology 413
Replace Jian Lü with:
Jian Lü China
David Werner United Kingdom
Muhammad Zaffar Hashmi Pakistan
Zhigang Yu China
Jing Ma China
John Poté Switzerland
Xin Jiang China
Longhua Wu China
Daniel D. Snow United States
Ming Chen China
Jun Wu relative to Jian Lü China Jian Lü's profile →
Citations per field
00.5×1.7×
Jian Lü · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010319
2 2019289
3 2016270
4 2018207
5 2019179
6 2018166
7 2018143
8 2018140
9 2019124
10 2012120
11 2022100
12 201589
13 202083
14 201878
15 200875
16 201973
17 202073
18 201672
19 202169
20 201964

About Jun Wu

Jun Wu is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Industrial and Manufacturing Engineering, Water Science and Technology and Plant Science, having authored 179 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (37 papers), Microplastics and Plastic Pollution (31 papers), Heavy metals in environment (24 papers), Recycling and Waste Management Techniques (17 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Toxic Organic Pollutants Impact (12 papers), Geochemistry and Geologic Mapping (9 papers) and Soil Carbon and Nitrogen Dynamics (9 papers). The work is most often cited by research in Pollution (3.1k citations), Industrial and Manufacturing Engineering (912 citations), Water Science and Technology (1.1k citations), Molecular Medicine (351 citations) and Geochemistry and Petrology (413 citations). Jun Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jian Lü, Yongming Luo, Yuxuan Zhang, Jian‐Hua Wang, Cui Zhang, Yichen Lin, Yuxuan Zhang, Xiaohu Wen, Hua Zhang and Pinjing He. Their work appears in journals such as The Science of The Total Environment, Chemosphere, Journal of Cleaner Production, Frontiers of Environmental Science & Engineering and Ecotoxicology and Environmental Safety.

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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