Xiao Yan

79 total papers · 2.0k total citations
64 papers, 1.5k citations indexed

About

Xiao Yan is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Pollution. According to data from OpenAlex, Xiao Yan has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Health, Toxicology and Mutagenesis, 11 papers in Atmospheric Science and 10 papers in Pollution. Recurrent topics in Xiao Yan's work include Toxic Organic Pollutants Impact (24 papers), Air Quality and Health Impacts (17 papers) and Effects and risks of endocrine disrupting chemicals (13 papers). Xiao Yan is often cited by papers focused on Toxic Organic Pollutants Impact (24 papers), Air Quality and Health Impacts (17 papers) and Effects and risks of endocrine disrupting chemicals (13 papers). Xiao Yan collaborates with scholars based in China, United States and Macao. Xiao Yan's co-authors include Bixian Mai, Jing Zheng, She-Jun Chen, Zhongyi Yang, Ke-Hui Chen, Guocheng Hu, Xiaowu Peng, Xiao‐Jun Luo, Yunjiang Yu and Chuntao He and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Xiao Yan

61 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Xiao Yan 1.0k 350 342 184 169 64 1.5k
Weiwei Zheng 1.0k 1.0× 298 0.9× 430 1.3× 99 0.5× 136 0.8× 92 2.0k
Lili Yang 1.4k 1.4× 593 1.7× 410 1.2× 215 1.2× 124 0.7× 107 2.2k
Ningbo Geng 1.0k 1.0× 260 0.7× 219 0.6× 133 0.7× 92 0.5× 77 1.6k
Wei-Wei Song 1.5k 1.5× 623 1.8× 366 1.1× 98 0.5× 115 0.7× 49 1.8k
Jiří Novák 961 1.0× 583 1.7× 162 0.5× 98 0.5× 84 0.5× 50 1.5k
Montse Mari 1.4k 1.4× 644 1.8× 224 0.7× 238 1.3× 168 1.0× 54 2.0k
Jutta Lintelmann 668 0.7× 394 1.1× 248 0.7× 75 0.4× 200 1.2× 48 1.4k
Noriyuki Suzuki 1.0k 1.0× 410 1.2× 205 0.6× 98 0.5× 94 0.6× 78 1.6k
Chung‐Min Liao 1.1k 1.1× 382 1.1× 192 0.6× 64 0.3× 244 1.4× 44 1.7k
Srinivasan Balachandran 1.1k 1.1× 645 1.8× 459 1.3× 95 0.5× 339 2.0× 66 2.0k

Countries citing papers authored by Xiao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Yan

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