Taoran Deng

35 papers receiving 729 citations

Peers

Taoran Deng
Comparison fields: 5 of 80
  • Health, Toxicology and Mutagenesis 238
  • Reproductive Medicine 71
  • Cancer Research 113
  • Obstetrics and Gynecology 43
  • Public Health, Environmental and Occupational Health 106
Replace Yaoyao Du with:
Yaoyao Du China
Zhengzheng Wei United States
Lixin Feng China
Zhenyao Huang China
Vettriselvi Venkatesan India
Christopher Kobierzycki Poland
Shi Lu China
Satoru Munakata Japan
Vincent Muczynski France
Tiffany A. Katz United States
Taoran Deng relative to Yaoyao Du China Yaoyao Du's profile →
Citations per field
00.5×2×3.1×
Yaoyao Du · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Taoran Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taoran Deng Line = papers co-authored together Taoran Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201672
2 202165
3 201956
4 202049
5 201644
6 202041
7 201937
8 202036
9 201834
10 201833
11 201833
12 201527
13 202021
14 202420
15 202219
16 201518
17 202017
18 202417
19 201412
20 202110

About Taoran Deng

Taoran Deng is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 36 papers that have together received 738 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (14 papers), Reproductive Biology and Fertility (3 papers), Reproductive System and Pregnancy (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (2 papers), Pluripotent Stem Cells Research (1 paper), TGF-β signaling in diseases (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (238 citations), Reproductive Medicine (71 citations), Cancer Research (113 citations), Obstetrics and Gynecology (43 citations) and Public Health, Environmental and Occupational Health (106 citations). Taoran Deng has collaborated with scholars based in China and United States. Frequent co-authors include Yufeng Li, Yaoyao Du, Yi Xiao, Na Guo, Yangcheng Yao, Changliang Su, Xiao-Qiong Yuan, Yixin Wang, Xiangning Fu and Dongcheng Wu. Their work appears in journals such as Reproductive Sciences, Ecotoxicology and Environmental Safety, Frontiers in Endocrinology, Environmental Toxicology and Pharmacology and Environmental Pollution.

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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