Lingzhi Tan

23 total papers · 494 total citations
17 papers, 402 citations indexed

About

Lingzhi Tan is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Water Science and Technology. According to data from OpenAlex, Lingzhi Tan has authored 17 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 3 papers in Water Science and Technology. Recurrent topics in Lingzhi Tan's work include Toxic Organic Pollutants Impact (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Water Quality and Pollution Assessment (3 papers). Lingzhi Tan is often cited by papers focused on Toxic Organic Pollutants Impact (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Water Quality and Pollution Assessment (3 papers). Lingzhi Tan collaborates with scholars based in China, Malaysia and Australia. Lingzhi Tan's co-authors include Mustafa Ali Mohd, Kok Hoong Leong, Shihua Qi, Jiaquan Zhang, Junpeng Zhang, Xinli Xing, Ying Hu, Wei Chen, Dan Yang and Meihui Xu and has published in prestigious journals such as PLoS ONE, Environmental Pollution and Chemosphere.

In The Last Decade

Lingzhi Tan

14 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Lingzhi Tan	270	221	60	45	29	17	402
Mark Sekela	229 0.8×	219 1.0×	55 0.9×	34 0.8×	27 0.9×	12	407
Meie Wang	175 0.6×	207 0.9×	50 0.8×	36 0.8×	33 1.1×	25	358
Guifen Yu	272 1.0×	218 1.0×	47 0.8×	23 0.5×	13 0.4×	17	413
P. Spitzauer	179 0.7×	245 1.1×	45 0.8×	38 0.8×	22 0.8×	10	349
Wesley Hunter	290 1.1×	272 1.2×	55 0.9×	20 0.4×	26 0.9×	12	372
Jennifer P. Voorhees	219 0.8×	195 0.9×	66 1.1×	32 0.7×	53 1.8×	24	409
Hainan Lu	169 0.6×	254 1.1×	74 1.2×	28 0.6×	50 1.7×	17	443
Elvira De Rosa	184 0.7×	188 0.9×	27 0.5×	44 1.0×	19 0.7×	24	342
Ximena Fadic	142 0.5×	195 0.9×	37 0.6×	18 0.4×	22 0.8×	16	367
Michael Ensminger	179 0.7×	221 1.0×	101 1.7×	42 0.9×	14 0.5×	10	400

Countries citing papers authored by Lingzhi Tan

Since Specialization

Citations

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

Fields of papers citing papers by Lingzhi Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhi Tan

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