Zhenya Shen

2.6k total citations
35 papers, 1.9k citations indexed

About

Zhenya Shen is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Zhenya Shen has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Surgery. Recurrent topics in Zhenya Shen's work include Mesenchymal stem cell research (12 papers), Extracellular vesicles in disease (7 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Zhenya Shen is often cited by papers focused on Mesenchymal stem cell research (12 papers), Extracellular vesicles in disease (7 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Zhenya Shen collaborates with scholars based in China, Japan and United States. Zhenya Shen's co-authors include Junjie Yang, Ziying Yang, Yueqiu Chen, Xiao-Mei Teng, Weiqian Chen, Yunsheng Yu, Lei Chen, Yihuan Chen, Teng Ma and Jiacheng Sun and has published in prestigious journals such as Circulation, Biochemical and Biophysical Research Communications and Life Sciences.

In The Last Decade

Zhenya Shen

32 papers receiving 1.9k citations

Peers

Zhenya Shen
Comparison fields: 5 of 94
  • Molecular Biology 1.4k
  • Cancer Research 751
  • Surgery 526
  • Genetics 436
  • Cardiology and Cardiovascular Medicine 316
Replace Yueqiu Chen with:
Yueqiu Chen China
Sol Misener United States
Ahmed Ibrahim United States
Jiacheng Sun China
Onju Ham South Korea
Lianbo Shao China
Patrick van Vliet Netherlands
Orazio Fortunato Italy
Christine Kamide United States
Qingyou Meng China
Yueqiu Chen China View profile →
Citations per field, relative to Zhenya Shen
Zhenya Shen · 1×
Citations per year, relative to Zhenya Shen
Zhenya Shen · 1×

Countries citing papers authored by Zhenya Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zhenya Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenya Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenya Shen. A scholar is included among the top collaborators of Zhenya Shen 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 Zhenya Shen. Zhenya Shen 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 0
4 16
5 9
6 215
7 22
8 147
9 28
10 3
11 393
12 10
13 30
14 14
15 22
16 10
17 18
18 17
19 7
20
Apoptosis of human gastric cancer cell line SGC-7901 by p21 gene transduction
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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