Jay Gan

503 total citations
10 papers, 411 citations indexed

About

Jay Gan is a scholar working on Pollution, Plant Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jay Gan has authored 10 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 4 papers in Plant Science and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jay Gan's work include Environmental Toxicology and Ecotoxicology (3 papers), Plant Disease Management Techniques (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Jay Gan is often cited by papers focused on Environmental Toxicology and Ecotoxicology (3 papers), Plant Disease Management Techniques (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Jay Gan collaborates with scholars based in United States, China and Germany. Jay Gan's co-authors include Graciel Diamante, Daniel Schlenk, William H. Grover, Wei Shi, Chunyang Liao, Kunde Lin, Wesley Hunter, Darren Haver, Yiping Xu and Lorence R. Oki and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Pollution and Chemosphere.

In The Last Decade

Jay Gan

9 papers receiving 402 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jay Gan United States	8	124	114	112	103	84	10	411
Felipe Robledo‐Padilla Mexico	6	266 2.1×	95 0.8×	23 0.2×	48 0.5×	33 0.4×	13	465
Urban Kunej Slovenia	7	46 0.4×	35 0.3×	52 0.5×	582 5.7×	62 0.7×	16	686
Yukiko Shinozaki Japan	16	214 1.7×	29 0.3×	68 0.6×	425 4.1×	145 1.7×	26	819
V. Saranya India	12	80 0.6×	13 0.1×	31 0.3×	102 1.0×	44 0.5×	34	478
Yuka Sameshima‐Yamashita Japan	14	125 1.0×	27 0.2×	62 0.6×	451 4.4×	120 1.4×	27	677
Veronika Perz Austria	11	94 0.8×	40 0.4×	40 0.4×	371 3.6×	34 0.4×	14	530
Naima Atiq Pakistan	11	42 0.3×	10 0.1×	35 0.3×	239 2.3×	100 1.2×	15	415
Camilla Carla Parenti Italy	10	172 1.4×	27 0.2×	173 1.5×	1.0k 9.9×	11 0.1×	10	1.1k
M. Krishnappa India	9	49 0.4×	11 0.1×	26 0.2×	256 2.5×	119 1.4×	36	404
Xiaopan Nie China	7	88 0.7×	10 0.1×	153 1.4×	344 3.3×	16 0.2×	7	547

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Gan, Jay. (2025). Risk avoidance as a practical solution to safeguard against emerging contaminants. Nature Water. 3(12). 1334–1335. 1 indexed citations

2.

Gan, Jay, et al.. (2024). A high-throughput analytical method for complex contaminant mixtures in biosolids. Environmental Pollution. 345. 123517–123517. 4 indexed citations

3.

Chen, Jin, et al.. (2015). Inflammatory MAPK and NF-κB signaling pathways differentiated hepatitis potential of two agglomerated titanium dioxide particles. Journal of Hazardous Materials. 304. 370–378. 20 indexed citations

4.

Conkle, Jeremy L., et al.. (2015). Effects of CO₂ dissolution on phase distribution and degradation of dimethyl disulfide in soils under grape production. Pest Management Science. 72(2). 349–353. 8 indexed citations

5.

Lin, Kunde, et al.. (2015). Formation of hydroxylated polybrominated diphenyl ethers from laccase-catalyzed oxidation of bromophenols. Chemosphere. 138. 806–813. 14 indexed citations

6.

Diamante, Graciel, Chunyang Liao, Wei Shi, et al.. (2015). Assessing and Reducing the Toxicity of 3D-Printed Parts. Environmental Science & Technology Letters. 3(1). 1–6. 166 indexed citations

7.

Wang, Dong, et al.. (2013). Spot drip application of dimethyl disulfide as a post‐plant treatment for the control of plant parasitic nematodes and soilborne pathogens in grape production. Pest Management Science. 70(7). 1151–1157. 37 indexed citations

8.

Zhao, Meirong, Ying Zhang, Cui Wang, et al.. (2009). Induction of Macrophage Apoptosis by an Organochlorine Insecticide Acetofenate. Chemical Research in Toxicology. 22(3). 504–510. 66 indexed citations

9.

Lin, Kunde, Darren Haver, Lorence R. Oki, & Jay Gan. (2009). Persistence and sorption of fipronil degradates in urban stream sediments. Environmental Toxicology and Chemistry. 28(7). 1462–1468. 46 indexed citations

10.

Hunter, Wesley, Yiping Xu, Frank Spurlock, & Jay Gan. (2008). Using disposable polydimethylsiloxane fibers to assess the bioavailability of permethrin in sediment. Environmental Toxicology and Chemistry. 27(3). 568–575. 49 indexed citations

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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