I. Chu

2.5k citations
137 papers · 1.9k · h-index 24

Impact in

    • Toxic Organic Pollutants Impact
    • Effects and risks of endocrine disrupting chemicals
    • Environmental Toxicology and Ecotoxicology
    • Heavy Metal Exposure and Toxicity
    • Carcinogens and Genotoxicity Assessment

Papers in

I. Chu

135 papers receiving 1.8k citations

Peers

I. Chu
Comparison fields: 5 of 129
  • Health, Toxicology and Mutagenesis 1.0k
  • Cancer Research 419
  • Pharmaceutical Science 157
  • Dermatology 166
  • Chemical Health and Safety 9
Replace Diane Benford with:
Diane Benford United Kingdom
John P. Groten Netherlands
H. Tinwell United Kingdom
Marvin A. Friedman United States
Elisabeth Perdu France
Michael A. Gallo United States
B. N. Gupta India
Anna Camoirano Italy
Alicia Paini Italy
James B. Knaak United States
I. Chu relative to Diane Benford United Kingdom Diane Benford's profile →
Citations per field
00.5×3.4×
Diane Benford · 1×
Citations per year

Countries citing papers authored by I. Chu

Since Specialization
Citations

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

Fields of papers citing papers by I. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004142
2 199878
3 199268
4 199556
5 199643
6 197938
7 199737
8 200134
9 197834
10 199533
11 200733
12 199732
13 199632
14 197531
15 198030
16 200729
17 199728
18 199727
19 201527
20 198227

About I. Chu

I. Chu is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Plant Science, Small Animals and Molecular Biology, having authored 137 papers that have together received 1.9k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (40 papers), Effects and risks of endocrine disrupting chemicals (39 papers), Toxic Organic Pollutants Impact (36 papers), Pesticide Exposure and Toxicity (15 papers), Animal testing and alternatives (15 papers), Immunotoxicology and immune responses (12 papers), Contact Dermatitis and Allergies (10 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Cancer Research (419 citations), Pharmaceutical Science (157 citations), Dermatology (166 citations) and Chemical Health and Safety (9 citations). I. Chu has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include D. C. Villeneuve, V. E. Valli, Raymond Poon, Richard P. Moody, Mark Feeley, John J. Ryan, Udai S. Gill, V. E. Secours, Pierre Lecavalier and G.C. Becking. Their work appears in journals such as Journal of Toxicology and Environmental Health, Bulletin of Environmental Contamination and Toxicology, Journal of Environmental Science and Health Part B, Toxicology and Industrial Health and 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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