Lee Chen-Chen

66 papers receiving 792 citations

Peers

Lee Chen-Chen
Comparison fields: 5 of 61
  • Cancer Research 198
  • Biochemistry 29
  • Plant Science 99
  • Biochemistry 13
  • Aging 3
Replace Peter Rauko with:
Peter Rauko Slovakia
Rosita Curcio Italy
Nik Mohd Afizan Nik Abd Rahman Malaysia
Abderraouf Kénani Tunisia
Smiti Vaid Gupta United States
Surya Bali Prasad India
Prosenjit Saha India
Thaworn Kowithayakorn Japan
Annu Arora India
Heinz Frank Germany
Lee Chen-Chen relative to Peter Rauko Slovakia Peter Rauko's profile →
Citations per field
00.5×2×4×6.2×
Peter Rauko · 1×
Citations per year

Countries citing papers authored by Lee Chen-Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lee Chen-Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee Chen-Chen. 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 Lee Chen-Chen. The network helps show where Lee Chen-Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200867
2 200445
3 201640
4 201837
5 201129
6 201028
7 201525
8 201625
9 201222
10 201722
11 202122
12 200918
13 201618
14 200817
15 201017
16 201316
17 201716
18 201115
19 201315
20 201315

About Lee Chen-Chen

Lee Chen-Chen is a scholar working on Cancer Research, Genetics, Plant Science, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 72 papers that have together received 818 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (40 papers), Phytochemistry Medicinal Plant Applications (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Environmental Toxicology and Ecotoxicology (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Ethnobotanical and Medicinal Plants Studies (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Cancer Research (198 citations), Biochemistry (29 citations), Plant Science (99 citations), Biochemistry (13 citations) and Aging (3 citations). Lee Chen-Chen has collaborated with scholars based in Brazil. Frequent co-authors include Suzana C. Santos, Cléver Gomes Cardoso, Daniela de Melo e Silva, Lídia Andreu Guillo, Caridad N. Pérez, Elisa Flávia Luiz Cardoso Bailão, Paulo Roberto de Melo Reis, Carolina R. Silva, José Realino de Paula and Kênya Silva Cunha. Their work appears in journals such as Anais da Academia Brasileira de Ciências, Journal of Toxicology and Environmental Health, PLoS ONE, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Drug and Chemical 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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