Jay Gan

14.4k total citations · 1 hit paper
258 papers, 11.4k citations indexed

About

Jay Gan is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Plant Science. According to data from OpenAlex, Jay Gan has authored 258 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Pollution, 117 papers in Health, Toxicology and Mutagenesis and 39 papers in Plant Science. Recurrent topics in Jay Gan's work include Pharmaceutical and Antibiotic Environmental Impacts (97 papers), Pesticide and Herbicide Environmental Studies (66 papers) and Toxic Organic Pollutants Impact (54 papers). Jay Gan is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (97 papers), Pesticide and Herbicide Environmental Studies (66 papers) and Toxic Organic Pollutants Impact (54 papers). Jay Gan collaborates with scholars based in United States, China and Switzerland. Jay Gan's co-authors include Kunde Lin, Xiaoqin Wu, Weiping Liu, Daniel Schlenk, Jeremy L. Conkle, Zhijiang Lu, Juying Li, Laurel Dodgen, F. F. Ernst and Qiuguo Fu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Jay Gan

252 papers receiving 11.2k citations

Hit Papers

Microplastics in the soil environment: Occurrence, risks,... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Jay Gan
Comparison fields: 5 of 160
  • Pollution 6.8k
  • Health, Toxicology and Mutagenesis 3.9k
  • Industrial and Manufacturing Engineering 1.8k
  • Plant Science 1.5k
  • Biomedical Engineering 1.1k
Replace Baoshan Xing with:
Baoshan Xing China
Xiang‐Rong Xu China
Rai S. Kookana Australia
Thorsten Reemtsma Germany
Kathrin Fenner Switzerland
Benny Chefetz Israel
Sara Rodríguez‐Mozaz Spain
Sı́lvia Lacorte Spain
Thomas D. Bucheli Switzerland
Sardar Khan Pakistan
Baoshan Xing China View profile →
Citations per field, relative to Jay Gan
Jay Gan · 1×
Citations per year, relative to Jay Gan
Jay Gan · 1×

Countries citing papers authored by Jay Gan

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Gan. A scholar is included among the top collaborators of Jay Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Gan. Jay Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 15
6 4
7 6
8 12
9 2
10 18
11 5
12 35
13 32
14 174
15 131
16 7
17 11
18 7
19 14
20 35

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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