Xiangjun Fu
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 3
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 3
- Co-authors
- Jie Yu (4 shared papers)Jie Xu (1 shared paper)Renyi Zhang (1 shared paper)Hongxia Yao (5 shared papers)Lei Xiao (1 shared paper)Hua Zhang (1 shared paper)Yipeng Ding (2 shared papers)Li Guo (3 shared papers)
- Journals
- Materials Letters (4 papers)Oncotarget (2 papers)PeerJ (2 papers)Clinical & Translational Oncology (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiangjun Fu
27 papers receiving 354 citations
Peers
Comparison fields: 5 of 94
- Health, Toxicology and Mutagenesis 100
- Cancer Research 109
- Hematology 59
- Genetics 51
- Pollution 22
Countries citing papers authored by Xiangjun Fu
This map shows the geographic impact of Xiangjun 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 Xiangjun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Fu more than expected).
Fields of papers citing papers by Xiangjun Fu
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Fu. The network helps show where Xiangjun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2014 | 52 | |
| 3 | 2021 | 35 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 3 | |
| 20 | [Expression and correlation of apoptosis-related gene c-IAP2 and caspase-4 in head and cervical undifferentiation squamous cell carcinoma]. | 2003 | 3 |
About Xiangjun Fu
Xiangjun Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Genetics, having authored 35 papers that have together received 359 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Glaucoma and retinal disorders (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Toxic Organic Pollutants Impact (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (100 citations), Cancer Research (109 citations), Hematology (59 citations), Genetics (51 citations) and Pollution (22 citations). Xiangjun Fu has collaborated with scholars based in China and United States. Frequent co-authors include Jie Yu, Jie Xu, Renyi Zhang, Hongxia Yao, Lei Xiao, Hua Zhang, Yipeng Ding, Li Guo, Wenting Chen and Congming Wu. Their work appears in journals such as Materials Letters, Oncotarget, PeerJ, Clinical & Translational Oncology and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.