Fang Tao

21 total papers · 693 total citations
18 papers, 579 citations indexed

About

Fang Tao is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Cancer Research. According to data from OpenAlex, Fang Tao has authored 18 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 6 papers in Pollution and 3 papers in Cancer Research. Recurrent topics in Fang Tao's work include Toxic Organic Pollutants Impact (12 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Air Quality and Health Impacts (4 papers). Fang Tao is often cited by papers focused on Toxic Organic Pollutants Impact (12 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Air Quality and Health Impacts (4 papers). Fang Tao collaborates with scholars based in China, United Kingdom and Egypt. Fang Tao's co-authors include Stuart Harrad, Mohamed Abou‐Elwafa Abdallah, Cynthia A. de Wit, Ulla Sellström, Adrian Covaci, Wenbin Liu, Mireille B. Toledano, Danielle Ashworth, Philippa Douglas and Sumei Li and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

Fang Tao

18 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
Fang Tao	469	145	104	70	51	18	579
Deborah A. Roubicek	374 0.8×	193 1.3×	194 1.9×	60 0.9×	52 1.0×	19	656
Gyojin Choo	529 1.1×	254 1.8×	38 0.4×	50 0.7×	34 0.7×	20	674
Timothy F. M. Rodgers	329 0.7×	179 1.2×	27 0.3×	75 1.1×	44 0.9×	24	618
Ioanna Pantelaki	389 0.8×	220 1.5×	36 0.3×	39 0.6×	52 1.0×	10	510
Areum Jo	456 1.0×	144 1.0×	71 0.7×	16 0.2×	70 1.4×	14	694
Jia-Yong Lao	384 0.8×	193 1.3×	30 0.3×	71 1.0×	23 0.5×	23	576
Xiao-Liang Liao	329 0.7×	145 1.0×	27 0.3×	51 0.7×	21 0.4×	22	531
Chun-Yan Huo	505 1.1×	190 1.3×	42 0.4×	88 1.3×	32 0.6×	23	601
Jenny Rattfelt Nyholm	509 1.1×	230 1.6×	31 0.3×	53 0.8×	28 0.5×	13	630
Tong Wu	275 0.6×	242 1.7×	25 0.2×	33 0.5×	78 1.5×	25	561

Countries citing papers authored by Fang Tao

Since Specialization

Citations

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

Fields of papers citing papers by Fang Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Tao

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