Ying Men
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 4
- vaccines and immunoinformatics approaches 3
-
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 3
- Co-authors
- Marcus Groettrup (3 shared papers)Elke Scandella (3 shared papers)Silke Gillessen (2 shared papers)Giampietro Corradin (6 shared papers)Bruno Gander (5 shared papers)Reinhold Förster (1 shared paper)Wan-Liang Lü (7 shared papers)Xue Ying (5 shared papers)
- Journals
- Vaccine (4 papers)Journal of Controlled Release (3 papers)The Journal of Immunology (2 papers)Blood (2 papers)Molecular Pharmaceutics (2 papers)
- Partner nations
- SwitzerlandChinaSouth Sudan
In The Last Decade
Ying Men
20 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Immunology 978
- Biomaterials 543
- Pharmaceutical Science 242
- Oncology 348
- Molecular Biology 846
Countries citing papers authored by Ying Men
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 433 | |
| 2 | 2009 | 407 | |
| 3 | 2003 | 209 | |
| 4 | 1996 | 170 | |
| 5 | 2003 | 149 | |
| 6 | 2009 | 138 | |
| 7 | 2010 | 106 | |
| 8 | 1999 | 105 | |
| 9 | 1997 | 86 | |
| 10 | 2010 | 59 | |
| 11 | 1995 | 57 | |
| 12 | 1999 | 50 | |
| 13 | 2010 | 38 | |
| 14 | 1994 | 37 | |
| 15 | 2001 | 35 | |
| 16 | 2022 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2008 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2021 | 1 |
About Ying Men
Ying Men is a scholar working on Molecular Biology, Immunology, Biomaterials, Oncology and Virology, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers), Nanoparticle-Based Drug Delivery (5 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (3 papers), vaccines and immunoinformatics approaches (3 papers), Chemokine receptors and signaling (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Immunology (978 citations), Biomaterials (543 citations), Pharmaceutical Science (242 citations), Oncology (348 citations) and Molecular Biology (846 citations). Ying Men has collaborated with scholars based in Switzerland, China and South Sudan. Frequent co-authors include Marcus Groettrup, Elke Scandella, Silke Gillessen, Giampietro Corradin, Bruno Gander, Reinhold Förster, Wan-Liang Lü, Xue Ying, Ruo‐Jing Li and R Audran. Their work appears in journals such as Vaccine, Journal of Controlled Release, The Journal of Immunology, Blood 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.