Sihui Yu

22 papers receiving 826 citations

Peers

Sihui Yu
Comparison fields: 5 of 100
  • Environmental Chemistry 233
  • Oceanography 130
  • Ecology, Evolution, Behavior and Systematics 127
  • Hepatology 51
  • Plant Science 234
Replace Meng–Chou Lee with:
Meng–Chou Lee Taiwan
M Tsuzuki Japan
Yi Tian China
Maria Hellman Sweden
Feng Yu China
Sohail T. Ali United Kingdom
Ashfaq Ali Sweden
Takayuki Saito Japan
Yiyi Feng China
Federica Battaglia Italy
Sihui Yu relative to Meng–Chou Lee Taiwan Meng–Chou Lee's profile →
Citations per field
00.5×5.7×
Meng–Chou Lee · 1×
Citations per year

Countries citing papers authored by Sihui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Sihui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995332
2 1997205
3
GSTT1 and GSTM1 null genotypes and the risk of gastric cancer: a case-control study in a Chinese population.
2000123
4 198836
5 202329
6 198923
7 200722
8 202416
9 199813
10
[The relationship between viral hepatitis and primary liver cancer in four areas of China].
199713
11 202313
12 199513
13 19968
14 20247
15 20245
16 19945
17 19964
18
Green tea and its potential interaction with alcohol drinking, tobacco smoking and gene polymorphism on the risk of three upper-GI cancers in a Chinese population
20062
19 20242
20 20032

About Sihui Yu

Sihui Yu is a scholar working on Molecular Biology, Oncology, Plant Science, Biomedical Engineering and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 875 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Conducting polymers and applications (3 papers), Neuroscience and Neural Engineering (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Analytical Chemistry and Sensors (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Environmental Chemistry (233 citations), Oceanography (130 citations), Ecology, Evolution, Behavior and Systematics (127 citations), Hepatology (51 citations) and Plant Science (234 citations). Sihui Yu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zuo‐Feng Zhang, T. Tanaka, Yoshitsugu Sugiura, Masaru Sekijima, Yuji Ueno, Guangde Zhou, Chaofeng Guo, Veronica Wendy Setiawan, Ming-Lan Lu and Yan Li. Their work appears in journals such as Biomarkers, Journal of Materials Chemistry B, Food and Chemical Toxicology, Occupational and Environmental Medicine and Cancer Biology and Medicine.

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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