Xiaoming Wan

3.1k total citations
110 papers, 2.3k citations indexed

About

Xiaoming Wan is a scholar working on Pollution, Environmental Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xiaoming Wan has authored 110 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Pollution, 49 papers in Environmental Chemistry and 17 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xiaoming Wan's work include Heavy metals in environment (57 papers), Arsenic contamination and mitigation (42 papers) and Clay minerals and soil interactions (13 papers). Xiaoming Wan is often cited by papers focused on Heavy metals in environment (57 papers), Arsenic contamination and mitigation (42 papers) and Clay minerals and soil interactions (13 papers). Xiaoming Wan collaborates with scholars based in China, Germany and United States. Xiaoming Wan's co-authors include Mei Lei, Tongbin Chen, Junxing Yang, Chongyang Li, Sanjai J. Parikh, Jun Yang, Weibin Zeng, Lingqing Wang, Kerstin Hockmann and Susan Tandy and has published in prestigious journals such as Nature Communications, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Xiaoming Wan

108 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Wan China 25 1.3k 769 506 378 296 110 2.3k
Antonio Giandonato Caporale Italy 25 1.2k 1.0× 688 0.9× 433 0.9× 424 1.1× 299 1.0× 57 2.5k
Xiyuan Xiao China 34 1.8k 1.4× 438 0.6× 730 1.4× 640 1.7× 363 1.2× 103 3.2k
Jaume Bech Spain 31 1.5k 1.2× 425 0.6× 378 0.7× 418 1.1× 328 1.1× 137 2.5k
C. W. Gray New Zealand 22 1.3k 1.0× 350 0.5× 533 1.1× 338 0.9× 261 0.9× 55 2.1k
Silvia Martínez‐Martínez Spain 30 1.9k 1.4× 543 0.7× 298 0.6× 627 1.7× 445 1.5× 77 2.9k
Myung Chae Jung South Korea 23 1.6k 1.3× 569 0.7× 249 0.5× 545 1.4× 308 1.0× 66 2.3k
Changxing Lan China 30 1.4k 1.1× 517 0.7× 752 1.5× 536 1.4× 344 1.2× 60 3.1k
Shibao Chen China 29 1.7k 1.3× 420 0.5× 742 1.5× 508 1.3× 331 1.1× 82 2.8k
Pengjie Hu China 24 1.2k 0.9× 396 0.5× 803 1.6× 341 0.9× 202 0.7× 54 1.9k
Suzie M. Reichman Australia 27 1.2k 0.9× 501 0.7× 684 1.4× 808 2.1× 167 0.6× 75 2.4k

Countries citing papers authored by Xiaoming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Wan. A scholar is included among the top collaborators of Xiaoming Wan 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 Xiaoming Wan. Xiaoming Wan 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.
Zhou, Xing, Yiwen Yang, C Liang, et al.. (2025). Qi-Gu capsule alleviates osteoporosis by inhibiting mesenchymal stem cell senescence via the HIF-1α/AMPK axis. Phytomedicine. 142. 156764–156764. 4 indexed citations
2.
Han, Zhaoyang, et al.. (2024). Quantifying the impact of factors on soil available arsenic using machine learning. Environmental Pollution. 359. 124572–124572. 9 indexed citations
3.
Wan, Xiaoming, et al.. (2024). Arsenic release during groundwater recharge and effects of coexisting ions in a typical inland basin with high arsenic concentration: Modeling and batch experiment. The Science of The Total Environment. 950. 175359–175359. 2 indexed citations
4.
Zeng, Weibin, Xiaoming Wan, Mei Lei, & Tongbin Chen. (2024). Intercropping of Pteris vittata and maize on multimetal contaminated soil can achieve remediation and safe agricultural production. The Science of The Total Environment. 915. 170074–170074. 8 indexed citations
5.
Wan, Xiaoming, Weibin Zeng, Mei Lei, & Tongbin Chen. (2023). The influence of diverse fertilizer regimes on the phytoremediation potential of Pteris vittata in an abandoned nonferrous metallic mining site. The Science of The Total Environment. 880. 163246–163246. 14 indexed citations
6.
Yang, Jun, Jingyun Wang, Chen Zhao, et al.. (2023). Identifying driving factors of soil heavy metal at the mining area scale: Methods and practice. Chemosphere. 350. 140936–140936. 12 indexed citations
7.
8.
Wang, Hongbing, Yuxi Wu, Xiaoming Wan, Lu Xia, & Si Wang. (2023). Grain Size Characteristics of Surface Sediments and Their Migration Trends in the Nearshore Waters of East Guangdong. Sustainability. 15(14). 11069–11069. 2 indexed citations
9.
Dai, Lijun, Lingqing Wang, Xiaoming Wan, et al.. (2023). Hair-biomonitoring assessment of rare-earth-element exposure in residents of the largest rare-earth mining and smelting area of China. Environment International. 179. 108177–108177. 15 indexed citations
10.
Wang, Yang, et al.. (2023). Water Quality Evaluation, Spatial Distribution Characteristics, and Source Analysis of Pollutants in Wanquan River, China. Applied Sciences. 13(13). 7982–7982. 8 indexed citations
11.
12.
Wan, Xiaoming, Weibin Zeng, Degang Zhang, et al.. (2022). Changes in the concentration, distribution, and speciation of arsenic in the hyperaccumulator Pteris vittata at different growth stages. The Science of The Total Environment. 841. 156708–156708. 11 indexed citations
13.
Yang, Jun, Xiaoming Wan, Junxing Yang, et al.. (2021). The key nodes and main factors influencing accumulation of soil arsenic in Pteris vittata L. under field conditions. The Science of The Total Environment. 807(Pt 2). 150787–150787. 11 indexed citations
14.
Guo, Junmei, Mei Lei, Junxing Yang, et al.. (2017). Effect of fertilizers on the Cd uptake of two sedum species ( Sedum spectabile Boreau and Sedum aizoon L.) as potential Cd accumulators. Ecological Engineering. 106. 409–414. 38 indexed citations
15.
Zhou, Xiaoyong, et al.. (2016). Characteristics and impacts of elements in rhizosphere in multiple heavy metals polluted rice paddy soil. 22(3). 728. 2 indexed citations
16.
Zheng, Guodi, et al.. (2016). 複合汚染土壌におけるイネ根圏の元素特性と効果に関する研究【JST・京大機械翻訳】. 22(3). 719–728. 1 indexed citations
17.
Wan, Xiaoming, Ying-ru Liu, Mei Lei, Zechun Huang, & Tongbin Chen. (2015). [A Comparison of Arsenic Speciation in 13 Pteris vittata L. Populations].. PubMed. 35(8). 2329–32. 1 indexed citations
18.
Zhou, Xiaoyong, Mei Lei, Jun Yang, et al.. (2013). [Effect of lead on soil quality and human health around a lead smeltery].. PubMed. 34(9). 3675–8. 6 indexed citations
19.
Li, Ping, et al.. (2012). Petrogenesis of Nalati alkali granites in South Central Tianshan Mountains: Evidence from zircon trace elements and Hf isotope. Dizhi tongbao. 31(12). 1949–1964. 7 indexed citations
20.
Wan, Xiaoming, Mei Lei, Ying-ru Liu, et al.. (2012). A comparison of arsenic accumulation and tolerance among four populations of Pteris vittata from habitats with a gradient of arsenic concentration. The Science of The Total Environment. 442. 143–151. 26 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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