Shengyan Wang

459 citations
31 papers · 339 · h-index 11

Impact in

    • Genetics, Aging, and Longevity in Model Organisms
  • Pollution top 10%
    • Heavy metals in environment

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • MicroRNA in disease regulation 2
    • Heavy metals in environment 4

Shengyan Wang

28 papers receiving 336 citations

Peers

Shengyan Wang
Comparison fields: 5 of 89
  • Aging 17
  • Pollution 74
  • Health, Toxicology and Mutagenesis 60
  • Soil Science 28
  • Genetics 51
Replace Wei Mao with:
Wei Mao China
Ming‐Hong Sun China
Wenzhi Xu China
Shujie Xiao United States
Dan‐Ya Wu China
Shengxian Liang China
Sudhakar Sivasubramaniam India
Kai Künnis-Beres Estonia
Shengyan Wang relative to Wei Mao China Wei Mao's profile →
Citations per field
00.5×2×3×4×5×
Wei Mao · 1×
Citations per year

Countries citing papers authored by Shengyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shengyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201941
2 202137
3 202136
4 202032
5 202231
6 202121
7 202019
8 202417
9 202015
10 201714
11 201914
12 20239
13 20238
14 20226
15 20246
16 20236
17 20255
18 20225
19 20223
20 20243

About Shengyan Wang

Shengyan Wang is a scholar working on Cancer Research, Pollution, Health, Toxicology and Mutagenesis, Molecular Biology and Genetics, having authored 31 papers that have together received 339 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (5 papers), Heavy metals in environment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Fungal and yeast genetics research (3 papers), MicroRNA in disease regulation (2 papers), Phase Equilibria and Thermodynamics (2 papers) and Optical Coatings and Gratings (2 papers). The work is most often cited by research in Aging (17 citations), Pollution (74 citations), Health, Toxicology and Mutagenesis (60 citations), Soil Science (28 citations) and Genetics (51 citations). Shengyan Wang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jiangang Han, Yongli Zhu, Evgenios Agathokleous, Yide Huang, Sajjad Ahmad, Yao Lin, Chenwei Zou, Xuequn Chen, Wenshuai Liu and Aiqin Sun. Their work appears in journals such as Blood Cells Molecules and Diseases, The Science of The Total Environment, Journal of Hazardous Materials, Microbial Ecology and Advanced Optical Materials.

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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