Quan Shen

475 citations
20 papers · 351 indexed · h-index 10
Topics
RNA modifications and cancer (6 papers)Immune Response and Inflammation (3 papers)Virus-based gene therapy research (2 papers)

In The Last Decade

Quan Shen

20 papers receiving 342 citations

Peers

Quan Shen
Comparison fields: 5 of 64
  • Molecular Biology 178
  • Nutrition and Dietetics 98
  • Immunology 73
  • Oncology 38
  • Cancer Research 36
Replace Jae Goo Seol with:
Jae Goo Seol South Korea
Yanling Chen China
Ken Ozaki Japan
Philip J. French United Kingdom
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Quan Shen relative to Jae Goo Seol South Korea Jae Goo Seol's profile →
Citations per field
00.5×4.1×
Jae Goo Seol · 1×
Citations per year

Countries citing papers authored by Quan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Shen. A scholar is included among the top collaborators of Quan 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 Quan Shen. Quan 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 21
2 9
3 9
4
Effect of intra-articular hyaluronan injection on inflammation and bone remodeling in the epiphyses and metaphyses of the knee in a murine model of joint injury.
4
5 9
6 13
7 20
8
[Evaluation of three-dimensional CT reconstruction on the anatomic variation of inferior mesenteric artery and left colic artery].
4
9 4
10 1
11 5
12 1
13 1
14 4
15 4
16
Structure and function of the selenium translation element in the 3'-untranslated region of human cellular glutathione peroxidase mRNA.
39
17 12
18 100
19 3
20 88

About Quan Shen

Quan Shen is a scholar working on Immunology, Molecular Biology and Immunology and Allergy, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Immune Response and Inflammation (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Nutrition and Dietetics (98 citations), Toxicology (13 citations) and Immunology (73 citations). Quan Shen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Peter E. Newburger, Fong‐Fong Chu, DW Golde, John F. DiPersio, Lin Liu, M A Raines, Jack L. Leonard, Anna Plaas, Wenhui Wu and Chenggang Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecules.

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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