Xiao‐Lei Wu

6.6k total citations
180 papers, 4.9k citations indexed

About

Xiao‐Lei Wu is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Xiao‐Lei Wu has authored 180 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 78 papers in Ecology and 45 papers in Pollution. Recurrent topics in Xiao‐Lei Wu's work include Microbial Community Ecology and Physiology (74 papers), Genomics and Phylogenetic Studies (57 papers) and Microbial bioremediation and biosurfactants (32 papers). Xiao‐Lei Wu is often cited by papers focused on Microbial Community Ecology and Physiology (74 papers), Genomics and Phylogenetic Studies (57 papers) and Microbial bioremediation and biosurfactants (32 papers). Xiao‐Lei Wu collaborates with scholars based in China, Japan and Switzerland. Xiao‐Lei Wu's co-authors include Yong Nie, Yue‐Qin Tang, Chang-Qiao Chi, Hui Fang, Kun Wang, Liping Duan, Kenji Kida, Jie‐Liang Liang, Ji-Quan Sun and Shenghua Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiao‐Lei Wu

177 papers receiving 4.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiao‐Lei Wu China 40 2.2k 1.5k 1.4k 720 388 180 4.9k
Mike Manefield Australia 35 2.2k 1.0× 1.3k 0.9× 1.7k 1.2× 583 0.8× 564 1.5× 97 5.2k
Éric Pelletier France 32 2.0k 0.9× 1.1k 0.8× 1.8k 1.3× 396 0.6× 437 1.1× 80 5.0k
Morten Simonsen Dueholm Denmark 35 2.0k 0.9× 1.1k 0.8× 1.1k 0.8× 328 0.5× 229 0.6× 72 3.9k
Matthew W. Fields United States 39 2.1k 0.9× 710 0.5× 1.8k 1.3× 671 0.9× 1.0k 2.6× 124 5.3k
Ruth A. Schmitz Germany 47 3.9k 1.7× 693 0.5× 2.4k 1.7× 496 0.7× 615 1.6× 180 7.4k
Hermann J. Heipieper Germany 50 3.3k 1.5× 2.9k 2.0× 1.2k 0.9× 1.3k 1.8× 677 1.7× 161 7.6k
Bo‐Zhong Mu China 45 1.3k 0.6× 2.6k 1.8× 1.2k 0.9× 834 1.2× 1.1k 2.9× 250 5.9k
Andrey V. Mardanov Russia 35 2.0k 0.9× 623 0.4× 1.7k 1.2× 476 0.7× 921 2.4× 263 4.1k
Shuang‐Jiang Liu China 48 5.1k 2.3× 1.7k 1.1× 2.1k 1.5× 1.1k 1.6× 579 1.5× 279 8.8k
Jana Seifert Germany 42 2.7k 1.2× 992 0.7× 1.2k 0.9× 410 0.6× 640 1.6× 169 5.4k

Countries citing papers authored by Xiao‐Lei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Lei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Lei Wu

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

All Works

20 of 20 papers shown
1.
Zhang, Hao, Jing Wang, Bowen Xu, et al.. (2025). Work hardening and high ductility in a dual-phase VCoNi alloy with large-sized brittle intermetallic compounds. Materials Science and Engineering A. 936. 148414–148414.
2.
Nie, Yong, et al.. (2025). Strengthen or Weaken: Evolutionary Directions of Cross‐Feeding After Formation. Environmental Microbiology Reports. 17(4). e70175–e70175. 2 indexed citations
3.
Xu, Jinbo, et al.. (2025). Diversity and Ecological Relevance of Fumarate‐Adding Enzymes in Oil Reservoir Microbial Communities. Environmental Microbiology. 27(3). e70068–e70068. 2 indexed citations
4.
Xu, Boyang, Shanshan Xu, Ruijuan Wang, et al.. (2024). Exploring the relationship between GuaYi levels and microbial-metabolic dynamics in Daqu. Food Bioscience. 60. 104347–104347. 1 indexed citations
5.
Zhang, Hong, Wenchao Zhang, Yiwu Zong, et al.. (2024). Dynamics of microbial-induced oil degradation at the microscale. Microbiology Spectrum. 12(12). e0117624–e0117624. 1 indexed citations
6.
Chen, Xiaoli, et al.. (2024). The evolution of autonomy from two cooperative specialists in fluctuating environments. Proceedings of the National Academy of Sciences. 121(35). e2317182121–e2317182121. 8 indexed citations
7.
Xu, Ying, Jianwei Wang, Qing-Jie Liu, et al.. (2023). pH and Nitrate Drive Bacterial Diversity in Oil Reservoirs at a Localized Geographic Scale. Microorganisms. 11(1). 151–151. 8 indexed citations
8.
Liu, Xiaonan, Yong Nie, & Xiao‐Lei Wu. (2023). Predicting microbial community compositions in wastewater treatment plants using artificial neural networks. Microbiome. 11(1). 93–93. 28 indexed citations
9.
Yang, Shufang, Xue Lu, Bin Liu, et al.. (2023). Light Induction of Seed Culture Accelerates Lutein Accumulation in Heterotrophic Fermentation of Chlorella protothecoides CS-41. Fermentation. 9(8). 768–768. 6 indexed citations
10.
Wang, Jian, Yong Nie, Jing Tian, et al.. (2022). Type IV pili trigger episymbiotic association of Saccharibacteria with its bacterial host. Proceedings of the National Academy of Sciences. 119(49). e2215990119–e2215990119. 33 indexed citations
11.
Zhou, Feng, et al.. (2021). A novel temperate phage, vB_PstS-pAN, induced from the naphthalene-degrading bacterium Pseudomonas stutzeri AN10. Archives of Virology. 166(8). 2267–2272. 3 indexed citations
12.
Li, Yan, Xiaodong Wang, Yanzhang Li, et al.. (2019). Coupled anaerobic and aerobic microbial processes for Mn-carbonate precipitation: A realistic model of inorganic carbon pool formation. Geochimica et Cosmochimica Acta. 256. 49–65. 25 indexed citations
13.
Ren, Guiping, Yingchun Yan, Yong Nie, et al.. (2019). Natural Extracellular Electron Transfer Between Semiconducting Minerals and Electroactive Bacterial Communities Occurred on the Rock Varnish. Frontiers in Microbiology. 10. 293–293. 40 indexed citations
15.
Xu, Xingjian, Chang-Qiao Chi, Jieyu Zhao, et al.. (2017). Purification of eutrophic water containing chlorpyrifos by aquatic plants and its effects on planktonic bacteria. Chemosphere. 193. 178–188. 33 indexed citations
16.
Wu, Xiao‐Lei, et al.. (2016). [Diagnosis method of cotton water status based on infrared thermal imaging].. PubMed. 27(1). 165–72. 1 indexed citations
17.
Gu, Shenghua, Bei Cao, Runbin Sun, et al.. (2014). A metabolomic and pharmacokinetic study on the mechanism underlying the lipid-lowering effect of orally administered berberine. Molecular BioSystems. 11(2). 463–474. 69 indexed citations
18.
Geng, Shuang, Ran Mei, Yanan Wang, et al.. (2013). Ottowia shaoguanensis sp. nov., Isolated From Coking Wastewater. Current Microbiology. 68(3). 324–329. 26 indexed citations
19.
Wu, Xiao‐Lei, Kuk‐Jeong Chin, & Ralf Conrad. (2002). Effect of temperature stress on structure and function of the methanogenic archaeal community in a rice field soil. FEMS Microbiology Ecology. 39(3). 211–218. 23 indexed citations
20.
Wu, Xiao‐Lei, et al.. (1999). Factors Affecting Performance of Alcaligenes faecalis in Activated Sludge Process under Aerobic Conditions.. Journal of Japan Society on Water Environment. 22(3). 215–221. 3 indexed citations

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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