Shengya Guo

1.2k citations
14 papers · 989 indexed · 1 hit paper · h-index 9

Shengya Guo

13 papers receiving 979 citations

Hit Papers

Drinks like a fish: zebra fish (Danio rerio) as a behavio...6122000202620082017200400600

Peers

Shengya Guo
Comparison fields: 5 of 100
  • Cell Biology 668
  • Nature and Landscape Conservation 159
  • Neurology 89
  • Health, Toxicology and Mutagenesis 99
  • Cellular and Molecular Neuroscience 128
Replace Ben Hur Marins Mussulini with:
Ben Hur Marins Mussulini Brazil
Talise E. Müller Brazil
Nathana J. Mezzomo Brazil
Matheus Marcon Brazil
Ana M. Valentim Portugal
Stefani Altenhofen Brazil
Bruna Puty Brazil
Tae‐Ik Choi South Korea
Wei Fun Cheong Singapore
Anthony C. Arvanites United States
Shengya Guo relative to Ben Hur Marins Mussulini Brazil Ben Hur Marins Mussulini's profile →
Citations per field
00.5×1.5×1.8×
Ben Hur Marins Mussulini · 1×
Citations per year

Countries citing papers authored by Shengya Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shengya Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20243
2 20241
3 20232
4 20238
5 20210
6 20206
7 202020
8 20199
9 201841
10 201715
11 201670
12 201450
13 2012152
14
Drinks like a fish: zebra fish (Danio rerio) as a behavior genetic model to study alcohol effectsbreakdown →
2000612

About Shengya Guo

Shengya Guo is a scholar working on Cell Biology, Complementary and alternative medicine and Health, Toxicology and Mutagenesis, having authored 14 papers that have together received 989 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Heavy Metal Exposure and Toxicity (1 paper), Synthesis and bioactivity of alkaloids (1 paper), Ginseng Biological Effects and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Bioactive natural compounds (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Cell Biology (668 citations), Nature and Landscape Conservation (159 citations) and Neurology (89 citations). Shengya Guo has collaborated with scholars based in China, Australia and Israel. Frequent co-authors include Robert Gerlai, Arnon Rosenthal, Meir Lahav, Chunqi Li, Xuan Yao-xian, Xiaoyu Zhu, Bo Xia, Yunxiang Chen, Changjiang Huang and Qiaoxiang Dong. Their work appears in journals such as Zebrafish, Chemosphere, Phytomedicine, European Journal of Pharmaceutical Sciences and New Phytologist.

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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