Meng Fu
Impact in
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
- Immunology 21
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 5
- Psoriasis: Treatment and Pathogenesis 4
- Mast cells and histamine 4
- Co-authors
- Gang Wang (22 shared papers)Wei Li (9 shared papers)Yufeng Liu (7 shared papers)Chen Zhang (10 shared papers)Zhenlai Zhu (11 shared papers)Tie Hong (3 shared papers)Jixin Gao (6 shared papers)Ying Xing (6 shared papers)
- Journals
- International Immunopharmacology (4 papers)Journal of Dermatological Science (4 papers)Archives of Dermatological Research (3 papers)PLoS ONE (3 papers)Molecular Immunology (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Meng Fu
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 116
- Immunology 374
- Dermatology 97
- Immunology and Allergy 62
- Biological Psychiatry 11
- Transplantation 11
Countries citing papers authored by Meng Fu
This map shows the geographic impact of Meng Fu'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 Meng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Fu more than expected).
Fields of papers citing papers by Meng Fu
This network shows the impact of papers produced by Meng Fu. 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 Meng Fu. The network helps show where Meng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Fu, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 108 | |
| 2 | 2017 | 69 | |
| 3 | 2013 | 61 | |
| 4 | 2017 | 46 | |
| 5 | 2019 | 40 | |
| 6 | 2019 | 39 | |
| 7 | 2012 | 39 | |
| 8 | 2016 | 34 | |
| 9 | 2006 | 33 | |
| 10 | 2007 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2012 | 28 | |
| 13 | 2018 | 23 | |
| 14 | 2006 | 22 | |
| 15 | 2013 | 21 | |
| 16 | 2015 | 20 | |
| 17 | 2016 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2019 | 19 |
About Meng Fu
Meng Fu is a scholar working on Immunology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Kidney Stones and Urolithiasis Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Drug-Induced Adverse Reactions (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers) and Mast cells and histamine (4 papers). The work is most often cited by research in Immunology (374 citations), Dermatology (97 citations), Immunology and Allergy (62 citations), Biological Psychiatry (11 citations) and Transplantation (11 citations). Meng Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Gang Wang, Wei Li, Yufeng Liu, Chen Zhang, Zhenlai Zhu, Tie Hong, Jixin Gao, Ying Xing, Chunying Xiao and Erle Dang. Their work appears in journals such as International Immunopharmacology, Journal of Dermatological Science, Archives of Dermatological Research, PLoS ONE and Molecular Immunology.
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.