Fu Dai
Impact in
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
-
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
Papers in
- Oncology 5
- Cancer Cells and Metastasis 3
- CAR-T cell therapy research 3
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 2
- Co-authors
- Yangyi Bao (4 shared papers)Alfred E. Chang (4 shared papers)Qiao Li (3 shared papers)Shiang Huang (3 shared papers)Yi Wang (3 shared papers)Lin Lü (2 shared papers)Guihua Wang (1 shared paper)Huimin Tao (2 shared papers)
- Journals
- European Journal of Immunology (1 paper)Oncotarget (1 paper)Cell chemical biology (1 paper)Cancer Research (1 paper)Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fu Dai
15 papers receiving 332 citations
Peers
Comparison fields: 5 of 64
- Immunology 154
- Oncology 181
- Genetics 37
- Cancer Research 45
- Biotechnology 18
Countries citing papers authored by Fu Dai
This map shows the geographic impact of Fu Dai'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 Fu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu Dai more than expected).
Fields of papers citing papers by Fu Dai
This network shows the impact of papers produced by Fu Dai. 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 Fu Dai. The network helps show where Fu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2016 | 73 | |
| 3 | 2016 | 68 | |
| 4 | 2016 | 28 | |
| 5 | 2017 | 21 | |
| 6 | 2015 | 12 | |
| 7 | 2021 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2013 | 6 | |
| 10 | Study on the distribution of landslides triggered by the May 12,2008 Wenchuan earthquake in two square typical regions | 2010 | 4 |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2023 | 0 |
About Fu Dai
Fu Dai is a scholar working on Oncology, Immunology, Cancer Research, Building and Construction and Electrical and Electronic Engineering, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Cancer Cells and Metastasis (3 papers), CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (2 papers), MicroRNA in disease regulation (2 papers), Integrated Energy Systems Optimization (2 papers), Geothermal Energy Systems and Applications (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Immunology (154 citations), Oncology (181 citations), Genetics (37 citations), Cancer Research (45 citations) and Biotechnology (18 citations). Fu Dai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yangyi Bao, Alfred E. Chang, Qiao Li, Shiang Huang, Yi Wang, Lin Lü, Guihua Wang, Huimin Tao, Steven K. Lundy and Yanqi Li. Their work appears in journals such as European Journal of Immunology, Oncotarget, Cell chemical biology, Cancer Research and Journal of Cancer.
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.