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 23
- Immunotherapy and Immune Responses 6
- Psoriasis: Treatment and Pathogenesis 6
- T-cell and B-cell Immunology 5
- Mast cells and histamine 5
- Co-authors
- Gang Wang (21 shared papers)Wei Li (9 shared papers)Yufeng Liu (7 shared papers)Zhenlai Zhu (10 shared papers)Chen Zhang (10 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 (3 papers)Archives of Dermatological Research (3 papers)PLoS ONE (3 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Meng Fu
66 papers receiving 971 citations
Peers
Comparison fields: 5 of 117
- Immunology 393
- Dermatology 111
- Immunology and Allergy 74
- Biological Psychiatry 13
- Transplantation 13
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 101 | |
| 2 | 2017 | 67 | |
| 3 | 2013 | 61 | |
| 4 | 2017 | 45 | |
| 5 | 2019 | 38 | |
| 6 | 2019 | 37 | |
| 7 | 2012 | 37 | |
| 8 | 2006 | 33 | |
| 9 | 2016 | 31 | |
| 10 | 2007 | 28 | |
| 11 | 2012 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2018 | 22 | |
| 14 | 2016 | 20 | |
| 15 | 2006 | 20 | |
| 16 | 2013 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2019 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2015 | 17 |
About Meng Fu
Meng Fu is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 71 papers that have together received 980 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Kidney Stones and Urolithiasis Treatments (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Axon Guidance and Neuronal Signaling (5 papers), T-cell and B-cell Immunology (5 papers), Pediatric Urology and Nephrology Studies (5 papers) and Mast cells and histamine (5 papers). The work is most often cited by research in Immunology (393 citations), Dermatology (111 citations), Immunology and Allergy (74 citations), Biological Psychiatry (13 citations) and Transplantation (13 citations). Meng Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Gang Wang, Wei Li, Yufeng Liu, Zhenlai Zhu, Chen Zhang, 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 Journal of Investigative Dermatology.
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.