Yinan Shen

1.4k citations
37 papers · 855 indexed · 1 hit paper · h-index 16
Topics
Virus-based gene therapy research (11 papers)CAR-T cell therapy research (10 papers)Pancreatic and Hepatic Oncology Research (9 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaJournal of Hepatology
Partner nations
ChinaCanadaUnited States

In The Last Decade

Yinan Shen

36 papers receiving 847 citations

Hit Papers

Oncolytic virotherapy: basic principles, recent advances ...2023202620242025202350100150200

Peers

Yinan Shen
Comparison fields: 5 of 87
  • Oncology 386
  • Molecular Biology 224
  • Genetics 224
  • Hepatology 202
  • Epidemiology 168
Replace Takahisa Kayahara with:
Takahisa Kayahara Japan
Hyun Young Woo South Korea
Vincent Vellucci United States
Benjamin Ruf United States
Junko Yokokawa Japan
Yasushi Yamaguchi Japan
Kouki Nio Japan
Andrea Bontadini Italy
Kazumi Togawa Japan
Yinan Shen relative to Takahisa Kayahara Japan Takahisa Kayahara's profile →
Citations per field
00.5×8.5×
Takahisa Kayahara · 1×
Citations per year

Countries citing papers authored by Yinan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yinan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yinan Shen. A scholar is included among the top collaborators of Yinan 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 Yinan Shen. Yinan 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
#WorkIndexed citations
1 0
2 6
3 2
4 2
5 15
6
Oncolytic virotherapy: basic principles, recent advances and future directionsbreakdown →
213
7 19
8 5
9 7
10 13
11 8
12 50
13 10
14 6
15 10
16 12
17 16
18 92
19 15
20 24

About Yinan Shen

Yinan Shen is a scholar working on Hepatology, Biotechnology and Oncology, having authored 37 papers that have together received 855 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), CAR-T cell therapy research (10 papers) and Pancreatic and Hepatic Oncology Research (9 papers). The work is most often cited by research in Hepatology (202 citations), Oncology (386 citations) and Biotechnology (79 citations). Yinan Shen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Tingbo Liang, Danni Lin, Tian Yang, Jun‐Hua Lu, Mengchao Wu, Xueli Bai, Chengxiang Guo, Xiaozhen Zhang, Jianyong Yuan and Myron Schwartz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Hepatology.

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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