Huanying Shi

839 total citations
18 papers, 657 citations indexed

About

Huanying Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Huanying Shi has authored 18 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Huanying Shi's work include Genomics, phytochemicals, and oxidative stress (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Circadian rhythm and melatonin (2 papers). Huanying Shi is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Circadian rhythm and melatonin (2 papers). Huanying Shi collaborates with scholars based in China, United States and Japan. Huanying Shi's co-authors include Haiyan Lou, Jing Xu, Xinbing Wei, Manru Ren, Xiumei Zhang, Dong‐Mei Ren, Ruth G. Perez, Jie Han, Miaomiao Wang and Xiumei Zhang and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Huanying Shi

17 papers receiving 650 citations

Peers

Huanying Shi
Comparison fields: 5 of 90
  • Molecular Biology 304
  • Neurology 112
  • Physiology 83
  • Complementary and alternative medicine 74
  • Cellular and Molecular Neuroscience 70
Replace Bogdan Costăchescu with:
Bogdan Costăchescu Romania
Junli Ye China
Sonia Luz Albarracín Colombia
Amarjot Kaur Grewal India
Aimee N. Winter United States
Manru Ren China
Tae Ju Park South Korea
Marta Regina Santos do Carmo Brazil
Ying Dong China
Bogdan Costăchescu Romania View profile →
Citations per field, relative to Huanying Shi
Huanying Shi · 1×
Citations per year, relative to Huanying Shi
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Countries citing papers authored by Huanying Shi

Since Specialization
Citations

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

Fields of papers citing papers by Huanying Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanying Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Huanying Shi. A scholar is included among the top collaborators of Huanying Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huanying Shi. Huanying Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 7
2 1
3 10
4 19
5 0
6 28
7 9
8 8
9 29
10 5
11 12
12 58
13 45
14 29
15 100
16 80
17 174
18 43

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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