Guannan Mao

38 total papers · 1.0k total citations
31 papers, 777 citations indexed

About

Guannan Mao is a scholar working on Ecology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Guannan Mao has authored 31 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ecology, 10 papers in Pollution and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Guannan Mao's work include Microbial Community Ecology and Physiology (14 papers), Water Treatment and Disinfection (8 papers) and Fecal contamination and water quality (5 papers). Guannan Mao is often cited by papers focused on Microbial Community Ecology and Physiology (14 papers), Water Treatment and Disinfection (8 papers) and Fecal contamination and water quality (5 papers). Guannan Mao collaborates with scholars based in China, Switzerland and Hong Kong. Guannan Mao's co-authors include Mark Bartlam, Yingying Wang, Yingying Wang, Jiuhui Qu, Yaohui Bai, Guanghai Gao, Jinsong Liang, Tao Zhang, Lei Liu and Xiaole Yin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Guannan Mao

28 papers receiving 770 citations

Author Peers

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

Author Last Decade Papers Cites
Guannan Mao 422 291 213 176 88 31 777
Qinglin Mu 419 1.0× 205 0.7× 120 0.6× 145 0.8× 77 0.9× 27 680
Ana Bielen 315 0.7× 232 0.8× 212 1.0× 150 0.9× 69 0.8× 42 898
Okugbe Ebiotubo Ohore 501 1.2× 286 1.0× 134 0.6× 150 0.9× 75 0.9× 30 847
Maria‐Cecilia Chiriac 372 0.9× 241 0.8× 211 1.0× 89 0.5× 72 0.8× 26 745
Céline Roose‐Amsaleg 396 0.9× 289 1.0× 187 0.9× 77 0.4× 71 0.8× 23 829
Quanhui Ye 395 0.9× 218 0.7× 147 0.7× 150 0.9× 114 1.3× 23 842
Andreea Baricz 393 0.9× 222 0.8× 185 0.9× 86 0.5× 81 0.9× 26 781
Chui Wei Bong 319 0.8× 199 0.7× 112 0.5× 217 1.2× 113 1.3× 49 859
Lei Liu 333 0.8× 216 0.7× 131 0.6× 104 0.6× 71 0.8× 25 630
Uta Böckelmann 269 0.6× 195 0.7× 153 0.7× 127 0.7× 156 1.8× 16 699

Countries citing papers authored by Guannan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Guannan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guannan Mao

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