Shan Fu
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Aluminum toxicity and tolerance in plants and animals
- Plant Micronutrient Interactions and Effects
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Hematology top 5%
Papers in
- Oncology 20
- CAR-T cell therapy research 16
- Co-authors
- Jixing Xia (11 shared papers)Guangzhe Yang (7 shared papers)Zhigang Wang (7 shared papers)He Huang (37 shared papers)Zhang Xiang (4 shared papers)Jian Feng (2 shared papers)Dong Chao (3 shared papers)Jiugeng Chen (1 shared paper)
- Journals
- Blood (13 papers)International Journal of Oncology (3 papers)Frontiers in Medicine (3 papers)PLoS ONE (2 papers)Plant and Cell Physiology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shan Fu
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Plant Science 522
- Hematology 136
- Pollution 118
- Oncology 193
- Hepatology 52
Countries citing papers authored by Shan Fu
This map shows the geographic impact of Shan 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 Shan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Fu more than expected).
Fields of papers citing papers by Shan Fu
This network shows the impact of papers produced by Shan 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 Shan Fu. The network helps show where Shan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 219 | |
| 2 | 2023 | 99 | |
| 3 | 2021 | 97 | |
| 4 | 2006 | 72 | |
| 5 | 2019 | 67 | |
| 6 | 2018 | 52 | |
| 7 | 2019 | 52 | |
| 8 | 2022 | 42 | |
| 9 | 2014 | 39 | |
| 10 | 2023 | 39 | |
| 11 | 2021 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2012 | 24 | |
| 14 | 2015 | 24 | |
| 15 | 2010 | 22 | |
| 16 | 2017 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2019 | 17 | |
| 20 | 2022 | 16 |
About Shan Fu
Shan Fu is a scholar working on Molecular Biology, Oncology, Hematology, Epidemiology and Genetics, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Hepatitis B Virus Studies (8 papers), Plant Stress Responses and Tolerance (6 papers), Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (5 papers), Aluminum toxicity and tolerance in plants and animals (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Plant Science (522 citations), Hematology (136 citations), Pollution (118 citations), Oncology (193 citations) and Hepatology (52 citations). Shan Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jixing Xia, Guangzhe Yang, Zhigang Wang, He Huang, Zhang Xiang, Jian Feng, Dong Chao, Jiugeng Chen, Dai‐Yin Chao and Rongbai Li. Their work appears in journals such as Blood, International Journal of Oncology, Frontiers in Medicine, PLoS ONE and Plant and Cell Physiology.
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.