Wu Dong

749 citations
50 papers · 577 · h-index 14

Impact in

    • Toxic Organic Pollutants Impact
    • Environmental Toxicology and Ecotoxicology
    • Effects and risks of endocrine disrupting chemicals
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

Wu Dong

44 papers receiving 562 citations

Peers

Wu Dong
Comparison fields: 5 of 105
  • Health, Toxicology and Mutagenesis 184
  • Physiology 57
  • Cancer Research 127
  • Pollution 66
  • Aquatic Science 35
Replace Leda Mirbahai with:
Leda Mirbahai United Kingdom
Catherine W. McCollum United States
Caren M. Villano United States
Inger Porsch Hällström Sweden
Sébastien Le Mével France
Lisa J. Bain United States
Ruixin Hao United States
Subham Dasgupta United States
Yongfang Jia China
Wu Dong United States
Wu Dong relative to Leda Mirbahai United Kingdom Leda Mirbahai's profile →
Citations per field
00.5×1.5×2.4×
Leda Mirbahai · 1×
Citations per year

Countries citing papers authored by Wu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Wu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200183
2 201368
3 201667
4 200837
5 200735
6 201333
7 200629
8 201022
9 202122
10 201919
11 202317
12 202316
13 202015
14 202213
15 202312
16 202212
17 200910
18 20225
19 20235
20 20205

About Wu Dong

Wu Dong is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Physiology and Genetics, having authored 50 papers that have together received 577 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (5 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Physiological and biochemical adaptations (3 papers), Reproductive biology and impacts on aquatic species (3 papers), Toxic Organic Pollutants Impact (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (184 citations), Physiology (57 citations), Cancer Research (127 citations), Pollution (66 citations) and Aquatic Science (35 citations). Wu Dong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kristine L. Willett, Takeo Hiraga, Hiroki Teraoka, Shunzo Kondo, Huijuan Huang, Kaiyu Wang, Cammi Thornton, David E. Hinton, An Li and Jiehong Guo. Their work appears in journals such as Acta Physico-Chimica Sinica, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Aquatic Toxicology, Biomedicine & Pharmacotherapy and Evidence-based Complementary and Alternative Medicine.

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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