Zhen Yan

754 citations
44 papers · 610 · h-index 14

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • RNA regulation and disease 5
    • Immune Response and Inflammation 5
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3

Zhen Yan

43 papers receiving 602 citations

Peers

Zhen Yan
Comparison fields: 5 of 87
  • Genetics 109
  • Biomaterials 69
  • Hepatology 40
  • Immunology 96
  • Molecular Biology 296
Replace Parul Trivedi with:
Parul Trivedi United States
Isao Yamane Japan
Rebecca P. Wu United States
Edward Hosea Ntege Japan
Xijing Qian China
Mahmood Naderi Iran
Jack M. Lipman United States
Tadashi Shimo‐Oka Japan
Jan-Dirk Häeger Germany
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Citations per field
00.5×3.1×
Parul Trivedi · 1×
Citations per year

Countries citing papers authored by Zhen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhen Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zhen Yan Line = papers co-authored together Zhen Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 201561
3 201246
4 200645
5 201629
6 201628
7 200626
8 200724
9 201321
10 201518
11 200516
12 201615
13 200615
14 199013
15 201413
16 200612
17 200811
18
[Pyroptosis induced by zinc oxide nanoparticles in A549 cells].
201311
19 201910
20 20109

About Zhen Yan

Zhen Yan is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 44 papers that have together received 610 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Hepatitis B Virus Studies (6 papers), RNA regulation and disease (5 papers), Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (5 papers), Hepatitis C virus research (5 papers), Mesenchymal stem cell research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Genetics (109 citations), Biomaterials (69 citations), Hepatology (40 citations), Immunology (96 citations) and Molecular Biology (296 citations). Zhen Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wei Han, Yingqi Zhang, Maoguo Shu, Chenggang Yi, Jing-Hua Yang, Yanhai Guo, Jihong Shi, Wei Wang, Daxiang Cui and Yu Han. Their work appears in journals such as Protein Expression and Purification, BioMed Research International, Scientific Reports, Cytotherapy and International Journal of Molecular Sciences.

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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