Dandan Fu
Impact in
- Endocrinology top 10%
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Plant Pathogenic Bacteria Studies 3
- Immunology 11
- Psoriasis: Treatment and Pathogenesis 7
- IL-33, ST2, and ILC Pathways 5
- Co-authors
- Zhiyuan Wei (1 shared paper)Shaojun Zhang (1 shared paper)Xiangmei Kong (1 shared paper)Yu‐Bin Dong (1 shared paper)Qun Guan (1 shared paper)Yanan Li (1 shared paper)Wenyan Li (1 shared paper)Ming Ji (1 shared paper)
- Journals
- Animals (3 papers)Research in Veterinary Science (3 papers)Poultry Science (3 papers)ACS Nano (2 papers)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Dandan Fu
50 papers receiving 703 citations
Peers
Comparison fields: 5 of 107
- Endocrinology 43
- Inorganic Chemistry 93
- Immunology 116
- Cancer Research 67
- Dermatology 33
Countries citing papers authored by Dandan Fu
This map shows the geographic impact of Dandan 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 Dandan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Fu more than expected).
Fields of papers citing papers by Dandan Fu
This network shows the impact of papers produced by Dandan 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 Dandan Fu. The network helps show where Dandan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2023 | 74 | |
| 3 | 2015 | 63 | |
| 4 | 2019 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2014 | 29 | |
| 7 | 2019 | 28 | |
| 8 | 2023 | 25 | |
| 9 | 2016 | 20 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2023 | 10 |
About Dandan Fu
Dandan Fu is a scholar working on Plant Science, Immunology, Endocrinology, Molecular Biology and Genetics, having authored 57 papers that have together received 708 indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Bacterial Genetics and Biotechnology (8 papers), Psoriasis: Treatment and Pathogenesis (7 papers), IL-33, ST2, and ILC Pathways (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Antibiotic Resistance in Bacteria (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). The work is most often cited by research in Endocrinology (43 citations), Inorganic Chemistry (93 citations), Immunology (116 citations), Cancer Research (67 citations) and Dermatology (33 citations). Dandan Fu has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Zhiyuan Wei, Shaojun Zhang, Xiangmei Kong, Yu‐Bin Dong, Qun Guan, Yanan Li, Wenyan Li, Ming Ji, Zhanguo Li and Jian Tu. Their work appears in journals such as Animals, Research in Veterinary Science, Poultry Science, ACS Nano and Journal of Magnetic Resonance Imaging.
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.