Yin Yuan

2.3k total citations
83 papers, 1.4k citations indexed

About

Yin Yuan is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Yin Yuan has authored 83 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Pharmacology and 11 papers in Epidemiology. Recurrent topics in Yin Yuan's work include SARS-CoV-2 and COVID-19 Research (6 papers), Circular RNAs in diseases (6 papers) and COVID-19 Clinical Research Studies (5 papers). Yin Yuan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Circular RNAs in diseases (6 papers) and COVID-19 Clinical Research Studies (5 papers). Yin Yuan collaborates with scholars based in China, United Kingdom and Hong Kong. Yin Yuan's co-authors include Shiying Yuan, Yimeng Hu, Yancheng Xu, Jiancheng Zhang, Feng Huang, Fan Lin, Linfeng Zhan, Zhenwei Pan, Feng Zhou and Yanjie Lu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Yin Yuan

77 papers receiving 1.4k citations

Peers

Yin Yuan
Comparison fields: 5 of 133
  • Molecular Biology 477
  • Cancer Research 309
  • Cardiology and Cardiovascular Medicine 198
  • Surgery 147
  • Neurology 146
Replace Shujuan Li with:
Shujuan Li China
Wei Yue China
Fengyun Wang China
Haiqing Zhang China
Agnieszka Zembroń-Łacny Poland
Fiammetta Monacelli Italy
Xia Zhou China
Marie-Claude Roy Canada
Shujuan Li China View profile →
Citations per field, relative to Yin Yuan
Yin Yuan · 1×
Citations per year, relative to Yin Yuan
Yin Yuan · 1×

Countries citing papers authored by Yin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Yuan. A scholar is included among the top collaborators of Yin Yuan 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 Yin Yuan. Yin Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 5
4 2
5 0
6 6
7 14
8 1
9 11
10
lncRNA MEG8 Upregulates miR-770-5p Through Methylation and Promotes Cell Apoptosis in Diabetic Nephropathy
0
11 24
12 86
13 9
14 31
15 0
16 2
17
Identification of the cancer chemoprevention component in fungus plant extract AMH
1
18 25
19 6
20
Relationship between nm23-H1 gene expression and proliferation of HL-60 cells
1

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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