Cong Shi

969 citations
40 papers · 781 · h-index 14

Impact in

    • Effects and risks of endocrine disrupting chemicals
    • Toxic Organic Pollutants Impact
    • Air Quality and Health Impacts
  • Pollution top 5%
    • Heavy metals in environment
    • Microplastics and Plastic Pollution

Papers in

Cong Shi

38 papers receiving 768 citations

Peers

Cong Shi
Comparison fields: 5 of 84
  • Health, Toxicology and Mutagenesis 441
  • Pollution 232
  • Environmental Chemistry 58
  • Ecology 139
  • Atmospheric Science 95
Replace Milan Šáňka with:
Milan Šáňka Czechia
Matteo Dalla Valle Italy
Andrea J. Farwell Canada
Gabriele Klumpp Germany
Mihael J. Toman Slovenia
Evelyn Claus Germany
Doğanay Tolunay Türkiye
Na Pi Hong Kong
Àngela Ribas Spain
Nguyen Hung Minh Vietnam
Cong Shi relative to Milan Šáňka Czechia Milan Šáňka's profile →
Citations per field
00.5×1.5×2.5×
Milan Šáňka · 1×
Citations per year

Countries citing papers authored by Cong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 2013105
3 201980
4 201672
5 201552
6 201949
7 201840
8 201626
9 201922
10 201722
11 201521
12 202018
13 201917
14 201616
15 202113
16 201612
17 202212
18 201911
19 20148
20 20228

About Cong Shi

Cong Shi is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Pollution, Ecology and Atmospheric Science, having authored 40 papers that have together received 781 indexed citations. Recurring topics across this work include Plant responses to elevated CO2 (9 papers), Heavy metals in environment (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Atmospheric chemistry and aerosols (6 papers), Soil Carbon and Nitrogen Dynamics (5 papers), Microbial Community Ecology and Physiology (5 papers), Coastal wetland ecosystem dynamics (4 papers) and Mercury impact and mitigation studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (441 citations), Pollution (232 citations), Environmental Chemistry (58 citations), Ecology (139 citations) and Atmospheric Science (95 citations). Cong Shi has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ruili Li, Yu Ait Bamai, Toshio Kawai, Reiko Kishi, Eiji Yoshioka, Tazuru Tsuboi, Atsuko Araki, Ayako Kanazawa, Qijie Zan and Huan Ding. Their work appears in journals such as The Science of The Total Environment, Marine Pollution Bulletin, Journal of Forest Research, Journal of soil science and plant nutrition 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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