Qingzhong Wu

31 total papers · 2.5k total citations
27 papers, 1.9k citations indexed

About

Qingzhong Wu is a scholar working on Pollution, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Qingzhong Wu has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 6 papers in Ecology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Qingzhong Wu's work include Microbial bioremediation and biosurfactants (10 papers), Microbial Community Ecology and Physiology (5 papers) and Geochemistry and Elemental Analysis (4 papers). Qingzhong Wu is often cited by papers focused on Microbial bioremediation and biosurfactants (10 papers), Microbial Community Ecology and Physiology (5 papers) and Geochemistry and Elemental Analysis (4 papers). Qingzhong Wu collaborates with scholars based in United States, China and Sweden. Qingzhong Wu's co-authors include Frank E. Löffler, Harold D. May, Kirsti M. Ritalahti, Kevin R. Sowers, Robert A. Sanford, Benjamin K. Amos, Youlboong Sung, Sara Thomas, Stephen S. Koenigsberg and Joy E. M. Watts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Chemistry of Materials.

In The Last Decade

Qingzhong Wu

27 papers receiving 1.9k citations

Hit Papers

Unexpected nondenitrifier... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Qingzhong Wu 928 669 361 283 274 27 1.9k
Yun‐Juan Chang 907 1.0× 786 1.2× 277 0.8× 186 0.7× 313 1.1× 43 2.6k
Xingmin Rong 744 0.8× 234 0.3× 378 1.0× 264 0.9× 271 1.0× 54 2.3k
Martin Braster 618 0.7× 612 0.9× 196 0.5× 150 0.5× 365 1.3× 49 1.6k
G. D. W. Swerhone 581 0.6× 444 0.7× 380 1.1× 357 1.3× 188 0.7× 49 2.4k
Yuanqing Chao 1.0k 1.1× 485 0.7× 491 1.4× 271 1.0× 156 0.6× 65 2.2k
Weimin Sun 1.2k 1.3× 681 1.0× 449 1.2× 403 1.4× 178 0.6× 75 2.5k
Marina Fomina 668 0.7× 231 0.3× 458 1.3× 336 1.2× 134 0.5× 44 3.0k
Cecily A. Flemming 598 0.6× 290 0.4× 499 1.4× 190 0.7× 110 0.4× 35 2.1k
Yiran Dong 653 0.7× 456 0.7× 404 1.1× 333 1.2× 110 0.4× 37 1.6k
J. K. Fredrickson 399 0.4× 747 1.1× 256 0.7× 260 0.9× 544 2.0× 37 2.7k

Countries citing papers authored by Qingzhong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingzhong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingzhong Wu

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