Jay Gan

503 citations
10 papers · 411 · h-index 8

Impact in

    • Additive Manufacturing and 3D Printing Technologies
  • Pollution top 10%
    • Pesticide and Herbicide Environmental Studies
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

    • Microplastics and Plastic Pollution 2
    • Pharmaceutical and Antibiotic Environmental Impacts 2
    • Plant Disease Management Techniques 2

Jay Gan

9 papers receiving 402 citations

Peers

Jay Gan
Comparison fields: 5 of 91
  • Automotive Engineering 114
  • Pollution 103
  • Health, Toxicology and Mutagenesis 112
  • Orthodontics 16
  • Insect Science 43
Replace Felipe Robledo‐Padilla with:
Felipe Robledo‐Padilla Mexico
M. Hirai Japan
V. Saranya India
Tianyuan Su China
Urban Kunej Slovenia
Yukiko Shinozaki Japan
Veronika Perz Austria
Basheer Thazeem India
Mahbod Hajighasemi Iran
Ning Ding China
Jay Gan relative to Felipe Robledo‐Padilla Mexico Felipe Robledo‐Padilla's profile →
Citations per field
00.5×10×14×
Felipe Robledo‐Padilla · 1×
Citations per year

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-authors

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

All Works

10 of 10 papers shown
#Work
1 2015166
2 200966
3 200849
4 200946
5 201337
6 201520
7 201514
8 20158
9 20244
10 20251

About Jay Gan

Jay Gan is a scholar working on Pollution, Plant Science, Health, Toxicology and Mutagenesis, Insect Science and Automotive Engineering, having authored 10 papers that have together received 411 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (3 papers), Insect and Pesticide Research (2 papers), Microplastics and Plastic Pollution (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Toxic Organic Pollutants Impact (2 papers), Plant Disease Management Techniques (2 papers), Trace Elements in Health (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Automotive Engineering (114 citations), Pollution (103 citations), Health, Toxicology and Mutagenesis (112 citations), Orthodontics (16 citations) and Insect Science (43 citations). Jay Gan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Graciel Diamante, Chunyang Liao, William H. Grover, Wei Shi, Daniel Schlenk, Kunde Lin, Lorence R. Oki, Yiping Xu, Frank Spurlock and Wesley Hunter. Their work appears in journals such as Environmental Toxicology and Chemistry, Pest Management Science, Chemosphere, Environmental Science & Technology Letters and Chemical Research in Toxicology.

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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