Meiling Shen
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Hepatology top 2%
- Hepatitis C virus research
Papers in
-
- Nanoplatforms for cancer theranostics 15
-
- RNA Interference and Gene Delivery 4
- Co-authors
- Anita Lewis-Antes (1 shared paper)Grant Gallagher (1 shared paper)Raymond P. Donnelly (1 shared paper)Sergei V. Kotenko (1 shared paper)Harold Dickensheets (1 shared paper)Faruk Sheikh (1 shared paper)Jerome A. Langer (1 shared paper)Changyang Gong (21 shared papers)
- Journals
- Biomaterials (4 papers)Advanced Science (3 papers)Acta Pharmaceutica Sinica B (2 papers)ACS Nano (2 papers)Chemical Engineering Journal (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Meiling Shen
34 papers receiving 2.0k citations
Meiling Shen's Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 1.1k
- Hepatology 341
- Oncology 508
- Epidemiology 474
- Infectious Diseases 235
Countries citing papers authored by Meiling Shen
This map shows the geographic impact of Meiling 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 Meiling Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Shen more than expected).
Fields of papers citing papers by Meiling Shen
This network shows the impact of papers produced by Meiling 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 Meiling Shen. The network helps show where Meiling Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Shen, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IFN-λs mediate antiviral protection through a distinct class II cytokine receptor complex Hit paper breakdown → | 2002 | 1514 |
| 2 | 2020 | 62 | |
| 3 | 1989 | 53 | |
| 4 | 2021 | 47 | |
| 5 | 2022 | 41 | |
| 6 | 2022 | 41 | |
| 7 | 2020 | 32 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 1994 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 10 |
About Meiling Shen
Meiling Shen is a scholar working on Biomedical Engineering, Molecular Biology, Immunology, Oncology and Materials Chemistry, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (5 papers), Advanced Nanomaterials in Catalysis (5 papers), RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Immunology (1.1k citations), Hepatology (341 citations), Oncology (508 citations), Epidemiology (474 citations) and Infectious Diseases (235 citations). Meiling Shen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Anita Lewis-Antes, Grant Gallagher, Raymond P. Donnelly, Sergei V. Kotenko, Harold Dickensheets, Faruk Sheikh, Jerome A. Langer, Changyang Gong, Qinjie Wu and Lu Li. Their work appears in journals such as Biomaterials, Advanced Science, Acta Pharmaceutica Sinica B, ACS Nano and Chemical Engineering Journal.
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.