Nan Mei

137 papers receiving 3.9k citations

Peers

Nan Mei
Comparison fields: 5 of 157
  • Pharmacology 581
  • Cancer Research 700
  • Complementary and alternative medicine 374
  • Health, Toxicology and Mutagenesis 388
  • Molecular Biology 1.4k
Replace Hasan Türkez with:
Hasan Türkez Türkiye
Md. Asaduzzaman Khan China
Sang Kyum Kim South Korea
Peng Li China
Saad Alkahtani Saudi Arabia
Kechun Liu China
Minhui Li China
Sung Won Kwon South Korea
Whasun Lim South Korea
Fung‐Jou Lu Taiwan
Nan Mei relative to Hasan Türkez Türkiye Hasan Türkez's profile →
Citations per field
00.5×1.5×
Hasan Türkez · 1×
Citations per year

Countries citing papers authored by Nan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Nan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nan Mei, 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 Nan Mei Line = papers co-authored together Nan Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014327
2 2006308
3 2016180
4 2010168
5 2017118
6 2008113
7 200696
8 200484
9 201282
10 201681
11 201366
12 201064
13 201557
14 201057
15 200749
16 200649
17 201549
18 201449
19 202447
20 200745

About Nan Mei

Nan Mei is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pharmacology and Health, Toxicology and Mutagenesis, having authored 143 papers that have together received 4.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (47 papers), Drug-Induced Hepatotoxicity and Protection (16 papers), DNA Repair Mechanisms (15 papers), Plant Toxicity and Pharmacological Properties (10 papers), Nephrotoxicity and Medicinal Plants (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Heavy Metals in Plants (7 papers) and Ginkgo biloba and Cashew Applications (6 papers). The work is most often cited by research in Pharmacology (581 citations), Cancer Research (700 citations), Complementary and alternative medicine (374 citations), Health, Toxicology and Mutagenesis (388 citations) and Molecular Biology (1.4k citations). Nan Mei has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiaoqing Guo, Lei Guo, Peter P. Fu, Robert H. Heflich, Martha M. Moore, Tao Chen, Vasily N. Dobrovolsky, Si Chen, Zhen Ren and Tao Chen. Their work appears in journals such as Toxicological Sciences, Archives of Toxicology, Environmental and Molecular Mutagenesis, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Journal of Environmental Science and Health Part C.

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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