Ying Men

2.5k citations
23 papers · 2.1k · h-index 16

Impact in

    • Advanced Drug Delivery Systems
  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • RNA Interference and Gene Delivery 5
    • vaccines and immunoinformatics approaches 3
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 3

Ying Men

20 papers receiving 2.1k citations

Peers

Ying Men
Comparison fields: 5 of 94
  • Pharmaceutical Science 320
  • Immunology 1.1k
  • Biomaterials 515
  • Virology 66
  • Molecular Biology 932
Replace Paul J. Tacken with:
Paul J. Tacken Netherlands
Yukihiko Aramaki Japan
Praveen Kumar Dubey India
David A. Zaharoff United States
Matthias Bros Germany
Jai S. Rudra United States
Tae Heung Kang South Korea
Wolfgang Zauner Austria
Tomofumi Uto Japan
Cian M. McCrudden United Kingdom
Ying Men relative to Paul J. Tacken Netherlands Paul J. Tacken's profile →
Citations per field
00.5×1.5×2.2×
Paul J. Tacken · 1×
Citations per year

Countries citing papers authored by Ying Men

Since Specialization
Citations

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

Fields of papers citing papers by Ying Men

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying Men, 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 Ying Men Line = papers co-authored together Ying Men links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002421
2 2009358
3 2003207
4 1996168
5 1995147
6 2003145
7 2009119
8 2010102
9 199998
10 199784
11 199555
12 201052
13 199948
14 201037
15 199436
16 200135
17 20193
18 20223
19 20082
20 20211

About Ying Men

Ying Men is a scholar working on Molecular Biology, Immunology, Oncology, Biomaterials and Virology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), Nanoparticle-Based Drug Delivery (5 papers), RNA Interference and Gene Delivery (5 papers), Immune Cell Function and Interaction (3 papers), vaccines and immunoinformatics approaches (3 papers), HIV Research and Treatment (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Pharmaceutical Science (320 citations), Immunology (1.1k citations), Biomaterials (515 citations), Virology (66 citations) and Molecular Biology (932 citations). Ying Men has collaborated with scholars based in Switzerland, China and Australia. Frequent co-authors include Marcus Groettrup, Elke Scandella, Silke Gillessen, Giampietro Corradin, Reinhold Förster, Wan-Liang Lü, Ruo‐Jing Li, Xue Ying, Bruno Gander and R Audran. Their work appears in journals such as Vaccine, Journal of Controlled Release, Blood, The Journal of Immunology and Molecular Pharmaceutics.

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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