Wu Dong

27 total papers · 918 total citations
15 papers, 758 citations indexed

About

Wu Dong is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Molecular Biology. According to data from OpenAlex, Wu Dong has authored 15 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 4 papers in Pollution and 2 papers in Molecular Biology. Recurrent topics in Wu Dong's work include Environmental Toxicology and Ecotoxicology (10 papers), Toxic Organic Pollutants Impact (7 papers) and Mercury impact and mitigation studies (4 papers). Wu Dong is often cited by papers focused on Environmental Toxicology and Ecotoxicology (10 papers), Toxic Organic Pollutants Impact (7 papers) and Mercury impact and mitigation studies (4 papers). Wu Dong collaborates with scholars based in United States, China and Japan. Wu Dong's co-authors include Takeo Hiraga, Hiroki Teraoka, John J. Stegeman, Richard E. Peterson, Mingliang Fang, Naoto Ueno, Daiji Endoh, Mengjing Wang, Feng Wang and David E. Hinton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Chemosphere.

In The Last Decade

Wu Dong

15 papers receiving 747 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wu Dong	422	176	162	143	52	15	758
Subham Dasgupta	410 1.0×	152 0.9×	95 0.6×	120 0.8×	55 1.1×	37	781
Katerine S. Saili	450 1.1×	148 0.8×	77 0.5×	165 1.2×	23 0.4×	15	855
Katharine A. Horzmann	311 0.7×	201 1.1×	231 1.4×	134 0.9×	18 0.3×	24	754
Christy Lite	313 0.7×	171 1.0×	55 0.3×	108 0.8×	59 1.1×	15	691
Jianhui He	210 0.5×	248 1.4×	240 1.5×	80 0.6×	24 0.5×	10	670
Yongfang Jia	269 0.6×	124 0.7×	121 0.7×	142 1.0×	22 0.4×	16	696
Derik E. Haggard	424 1.0×	217 1.2×	93 0.6×	116 0.8×	23 0.4×	21	749
Sanne A.B. Hermsen	378 0.9×	271 1.5×	126 0.8×	118 0.8×	19 0.4×	18	747
Yunlong Meng	235 0.6×	222 1.3×	205 1.3×	117 0.8×	44 0.8×	38	743
Jonathan S. Ball	332 0.8×	276 1.6×	198 1.2×	127 0.9×	14 0.3×	26	840

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-authorship network of co-authors of Wu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Dong. A scholar is included among the top collaborators of Wu Dong 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 Wu Dong. Wu Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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