Weidong Wu

347 total papers · 10.6k total citations
277 papers, 7.9k citations indexed

About

Weidong Wu is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Immunology. According to data from OpenAlex, Weidong Wu has authored 277 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Health, Toxicology and Mutagenesis, 90 papers in Molecular Biology and 25 papers in Immunology. Recurrent topics in Weidong Wu's work include Air Quality and Health Impacts (79 papers), Climate Change and Health Impacts (47 papers) and Heme Oxygenase-1 and Carbon Monoxide (16 papers). Weidong Wu is often cited by papers focused on Air Quality and Health Impacts (79 papers), Climate Change and Health Impacts (47 papers) and Heme Oxygenase-1 and Carbon Monoxide (16 papers). Weidong Wu collaborates with scholars based in China, United States and Australia. Weidong Wu's co-authors include Yuefei Jin, James M. Samet, Lee M. Graves, Guangcai Duan, Shuaiyin Chen, Wangquan Ji, William Zhang, Haiyan Yang, Philip A. Bromberg and Jie Song and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Weidong Wu

264 papers receiving 7.7k citations

Hit Papers

Virology, Epidemiology, P... 2020 2026 2022 2024 2020 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Weidong Wu 2.5k 1.8k 904 674 595 277 7.9k
Jin Hee Kim 1.4k 0.6× 3.1k 1.7× 508 0.6× 355 0.5× 231 0.4× 388 10.0k
Abraham Nyska 1.6k 0.6× 2.9k 1.6× 230 0.3× 689 1.0× 360 0.6× 420 11.3k
Ziwei Zhang 2.5k 1.0× 2.5k 1.4× 279 0.3× 2.7k 4.0× 679 1.1× 412 10.0k
Tangchun Wu 2.9k 1.2× 2.4k 1.3× 626 0.7× 868 1.3× 84 0.1× 284 10.3k
Wei Liu 1.3k 0.5× 1.8k 1.0× 359 0.4× 868 1.3× 120 0.2× 442 8.4k
Weihong Chen 3.3k 1.3× 1.6k 0.9× 224 0.2× 594 0.9× 355 0.6× 499 10.7k
Jack R. Harkema 5.0k 2.0× 1.8k 1.0× 389 0.4× 521 0.8× 334 0.6× 284 11.5k
Yang Song 1.2k 0.5× 3.6k 2.0× 177 0.2× 868 1.3× 1.1k 1.9× 371 9.5k
Eugenia Bezirtzoglou 1.5k 0.6× 2.3k 1.3× 430 0.5× 1.2k 1.8× 395 0.7× 185 8.7k
Aixia Wang 2.0k 0.8× 769 0.4× 287 0.3× 449 0.7× 830 1.4× 217 6.2k

Countries citing papers authored by Weidong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weidong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weidong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weidong Wu. A scholar is included among the top collaborators of Weidong Wu 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 Weidong Wu. Weidong Wu 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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