Qing Yan

62 total papers · 2.2k total citations
44 papers, 1.0k citations indexed

About

Qing Yan is a scholar working on Molecular Biology, Pollution and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qing Yan has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Pollution and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qing Yan's work include Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Insect Resistance and Genetics (4 papers). Qing Yan is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (12 papers), Constructed Wetlands for Wastewater Treatment (4 papers) and Insect Resistance and Genetics (4 papers). Qing Yan collaborates with scholars based in China, United States and Canada. Qing Yan's co-authors include Jinsong Guo, Guozhong Feng, Xu Gao, Xuya Peng, You‐Peng Chen, Zhiwei Zhu, Yonghong Yu, Julia E. Dallman, Robert A. Kozol and David M. James and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qing Yan

43 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Qing Yan	455	160	158	141	133	44	1.0k
Masaru Ihara	296 0.7×	243 1.5×	38 0.2×	272 1.9×	57 0.4×	48	982
Kelvin H.‐C. Chen	399 0.9×	297 1.9×	80 0.5×	228 1.6×	136 1.0×	38	1.2k
Quan Yuan	424 0.9×	290 1.8×	266 1.7×	63 0.4×	77 0.6×	69	1.2k
Sung‐Cheol Koh	454 1.0×	295 1.8×	65 0.4×	235 1.7×	67 0.5×	58	1.1k
Ștefan-Adrian Strungaru	585 1.3×	85 0.5×	240 1.5×	399 2.8×	157 1.2×	45	1.2k
Irfan Ullah Khan	270 0.6×	209 1.3×	38 0.2×	71 0.5×	34 0.3×	53	1.1k
Reza Seyed Sharifi	295 0.6×	168 1.1×	50 0.3×	102 0.7×	27 0.2×	51	864
Takeshi Hano	303 0.7×	127 0.8×	59 0.4×	344 2.4×	22 0.2×	61	908
R. Kumar	212 0.5×	355 2.2×	42 0.3×	64 0.5×	37 0.3×	37	927
Juan Manuel Ríos	179 0.4×	183 1.1×	68 0.4×	178 1.3×	23 0.2×	46	866

Countries citing papers authored by Qing Yan

Since Specialization

Citations

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

Fields of papers citing papers by Qing Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yan

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