Shenyi Yin

1.2k total citations · 1 hit paper
21 papers, 770 citations indexed

About

Shenyi Yin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shenyi Yin has authored 21 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Shenyi Yin's work include MicroRNA in disease regulation (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). Shenyi Yin is often cited by papers focused on MicroRNA in disease regulation (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and RNA Interference and Gene Delivery (4 papers). Shenyi Yin collaborates with scholars based in China, United States and Philippines. Shenyi Yin's co-authors include Jianzhong Xi, Hanshuo Zhang, Junyu Yang, Changhong Sun, Hao Yang, Juan Li, Yanyi Huang, Ming Ma, Ying Zhou and Hongjiao Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Shenyi Yin

19 papers receiving 761 citations

Hit Papers

Tumors exploit FTO-mediated regulation of glycolytic meta... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Shenyi Yin
Comparison fields: 5 of 93
  • Molecular Biology 621
  • Cancer Research 422
  • Oncology 80
  • Immunology 63
  • Biomedical Engineering 38
Replace Hui Fan with:
Hui Fan China
Alexey Ball United States
Zhijun Li China
Wenwei Hu China
Congcong Huang China
Sylvain Delaunay Germany
Abdullah Moridikia Iran
Poonam R. Pandey United States
Gehao Liang China
Hui Fan China View profile →
Citations per field, relative to Shenyi Yin
Shenyi Yin · 1×
Citations per year, relative to Shenyi Yin
Shenyi Yin · 1×

Countries citing papers authored by Shenyi Yin

Since Specialization
Citations

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

Fields of papers citing papers by Shenyi Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenyi Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Shenyi Yin. A scholar is included among the top collaborators of Shenyi Yin 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 Shenyi Yin. Shenyi Yin 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 0
2 0
3 2
4 1
5 3
6 5
7 5
8 8
9 15
10 31
11
Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance breakdown →
252
12 51
13 63
14 33
15 5
16 37
17 18
18 4
19 175
20 2

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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