Taoran Deng

41 total papers · 919 total citations
33 papers, 648 citations indexed

About

Taoran Deng is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Taoran Deng has authored 33 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 12 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Taoran Deng's work include Effects and risks of endocrine disrupting chemicals (13 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (4 papers). Taoran Deng is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (13 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (4 papers). Taoran Deng collaborates with scholars based in China and United States. Taoran Deng's co-authors include Yufeng Li, Yi Xiao, Na Guo, Yaoyao Du, Changliang Su, Xiao-Qiong Yuan, Yixin Wang, Xiangning Fu, Ni Zhang and Dongcheng Wu and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Environment International.

In The Last Decade

Taoran Deng

32 papers receiving 642 citations

Author Peers

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

Author						Papers	Cites
Taoran Deng	212	205	119	110	98	33	648
Ana Cheong	292 1.4×	230 1.1×	156 1.3×	92 0.8×	131 1.3×	20	758
Shi Lu	359 1.7×	216 1.1×	122 1.0×	72 0.7×	77 0.8×	29	776
Mingming Yu	123 0.6×	183 0.9×	97 0.8×	49 0.4×	34 0.3×	39	593
Iwona Sidorkiewicz	105 0.5×	231 1.1×	168 1.4×	34 0.3×	54 0.6×	38	606
Sebastian Daniel Schäfer	122 0.6×	200 1.0×	64 0.5×	102 0.9×	259 2.6×	51	734
Zhenyao Huang	131 0.6×	243 1.2×	150 1.3×	66 0.6×	67 0.7×	29	626
Monika Zbucka-Krętowska	90 0.4×	210 1.0×	100 0.8×	49 0.4×	32 0.3×	46	613
M. Zwirner	66 0.3×	134 0.7×	85 0.7×	96 0.9×	222 2.3×	29	752
Te Liu	360 1.7×	180 0.9×	69 0.6×	43 0.4×	39 0.4×	27	739
Viral G. Jain	46 0.2×	319 1.6×	120 1.0×	71 0.6×	33 0.3×	28	731

Countries citing papers authored by Taoran Deng

Since Specialization

Citations

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

Fields of papers citing papers by Taoran Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taoran Deng

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