Fei Ling
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Single-cell and spatial transcriptomics 6
- Bioinformatics and Genomic Networks 6
- RNA Research and Splicing 4
- Immunology 24
- Immune Cell Function and Interaction 18
- T-cell and B-cell Immunology 15
- Immunotherapy and Immune Responses 7
- Co-authors
- Min Zhuo (17 shared papers)Hongli Du (10 shared papers)Chongyin Han (10 shared papers)Jiaqi Hu (7 shared papers)Wei Luo (7 shared papers)Jiayuan Zhong (9 shared papers)Yaosheng Chen (10 shared papers)Huisheng Liu (4 shared papers)
- Journals
- Immunogenetics (4 papers)Human Immunology (3 papers)Molecular Biology Reports (3 papers)HLA (2 papers)American Journal of Primatology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Ling
57 papers receiving 576 citations
Peers
Comparison fields: 5 of 93
- Virology 35
- Immunology 138
- Cancer Research 85
- Molecular Biology 271
- Oncology 73
Countries citing papers authored by Fei Ling
This map shows the geographic impact of Fei Ling'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 Fei Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ling more than expected).
Fields of papers citing papers by Fei Ling
This network shows the impact of papers produced by Fei Ling. 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 Fei Ling. The network helps show where Fei Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Ling, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2014 | 50 | |
| 3 | 2022 | 30 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2010 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2009 | 19 | |
| 11 | 2024 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 2009 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2008 | 9 |
About Fei Ling
Fei Ling is a scholar working on Molecular Biology, Immunology, Virology, Physiology and Oncology, having authored 61 papers that have together received 585 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (15 papers), HIV Research and Treatment (9 papers), Immunotherapy and Immune Responses (7 papers), Single-cell and spatial transcriptomics (6 papers), Bioinformatics and Genomic Networks (6 papers), Adipose Tissue and Metabolism (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Virology (35 citations), Immunology (138 citations), Cancer Research (85 citations), Molecular Biology (271 citations) and Oncology (73 citations). Fei Ling has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Zhuo, Hongli Du, Chongyin Han, Jiaqi Hu, Wei Luo, Jiayuan Zhong, Yaosheng Chen, Huisheng Liu, Xiaoning Wang and Minfeng Chen. Their work appears in journals such as Immunogenetics, Human Immunology, Molecular Biology Reports, HLA and American Journal of Primatology.
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.