Wei Shi

4.4k citations
134 papers · 3.5k indexed · h-index 32

Impact in

Papers in

    • Toxic Organic Pollutants Impact 34
    • Effects and risks of endocrine disrupting chemicals 29
    • Environmental Toxicology and Ecotoxicology 12
    • Pharmaceutical and Antibiotic Environmental Impacts 19

Wei Shi

128 papers receiving 3.4k citations

Peers

Wei Shi
Comparison fields: 5 of 164
  • Health, Toxicology and Mutagenesis 1.8k
  • Environmental Chemistry 946
  • Pollution 922
  • Atmospheric Science 479
  • Water Science and Technology 363
Replace Hui Peng with:
Hui Peng China
Aiqian Zhang China
Michael Matthies Germany
Zhaomin Dong China
Sang Don Kim South Korea
Heidelore Fiedler Sweden
Tu Binh Minh Vietnam
Ying Zhu China
Huan Chen China
Ling Jin China
Wei Shi relative to Hui Peng China Hui Peng's profile →
Citations per field
00.5×2.6×
Hui Peng · 1×
Citations per year

Countries citing papers authored by Wei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20258
4 20247
5 20241
6 20241
7 202313
8 20236
9 20238
10 202333
11 20230
12 202345
13 202232
14 202063
15 201917
16 2018178
17 2018169
18 201749
19 201721
20 201161

About Wei Shi

Wei Shi is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Environmental Chemistry, Urology and Electrochemistry, having authored 134 papers that have together received 3.5k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (34 papers), Effects and risks of endocrine disrupting chemicals (29 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers), Per- and polyfluoroalkyl substances research (13 papers), Computational Drug Discovery Methods (13 papers), Environmental Toxicology and Ecotoxicology (12 papers), Hair Growth and Disorders (11 papers) and Atmospheric chemistry and aerosols (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Environmental Chemistry (946 citations), Pollution (922 citations), Atmospheric Science (479 citations) and Water Science and Technology (363 citations). Wei Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongxia Yu, Si Wei, Xiaowei Zhang, Nanyang Yu, John P. Giesy, Xuebin Wang, Hongling Liu, Junjian Li, Jianwen Chen and Guanjiu Hu. Their work appears in journals such as Environmental Science & Technology, Water Research, The Science of The Total Environment, Chemosphere and Environmental Pollution.

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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