Xiaodong Fu
Impact in
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- Menopause: Health Impacts and Treatments
- Hormonal and reproductive studies
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Angiogenesis and VEGF in Cancer 6
- Genetics 32
- Estrogen and related hormone effects 30
- Co-authors
- Tommaso Simoncini (27 shared papers)Maria Silvia Giretti (10 shared papers)Tinghuai Wang (12 shared papers)Marina Inés Flamini (7 shared papers)Angel Matías Sanchez (7 shared papers)Andrea Riccardo Genazzani (8 shared papers)Lorenzo Goglia (7 shared papers)Xiaosa Li (14 shared papers)
- Journals
- Vascular Pharmacology (4 papers)Molecular Human Reproduction (4 papers)Cardiovascular Research (3 papers)Molecular Biology Reports (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Xiaodong Fu
87 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 386
- Immunology and Allergy 134
- Genetics 583
- Biochemistry 151
- Cancer Research 310
Countries citing papers authored by Xiaodong Fu
This map shows the geographic impact of Xiaodong 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 Xiaodong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Fu more than expected).
Fields of papers citing papers by Xiaodong Fu
This network shows the impact of papers produced by Xiaodong 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 Xiaodong Fu. The network helps show where Xiaodong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodong 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 158 | |
| 2 | 2012 | 101 | |
| 3 | 2010 | 80 | |
| 4 | 2008 | 76 | |
| 5 | 2009 | 76 | |
| 6 | 2010 | 71 | |
| 7 | 2008 | 65 | |
| 8 | 2019 | 64 | |
| 9 | 2017 | 63 | |
| 10 | 2011 | 61 | |
| 11 | 2018 | 53 | |
| 12 | 2010 | 53 | |
| 13 | 2012 | 50 | |
| 14 | 2019 | 49 | |
| 15 | 2017 | 48 | |
| 16 | 2020 | 42 | |
| 17 | 2018 | 41 | |
| 18 | 2020 | 40 | |
| 19 | 2012 | 39 | |
| 20 | 2007 | 39 |
About Xiaodong Fu
Xiaodong Fu is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Cancer Research, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Nitric Oxide and Endothelin Effects (10 papers), Menopause: Health Impacts and Treatments (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Cell Adhesion Molecules Research (6 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Immunology and Allergy (134 citations), Genetics (583 citations), Biochemistry (151 citations) and Cancer Research (310 citations). Xiaodong Fu has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Tommaso Simoncini, Maria Silvia Giretti, Tinghuai Wang, Marina Inés Flamini, Angel Matías Sanchez, Andrea Riccardo Genazzani, Lorenzo Goglia, Xiaosa Li, Silvia Garibaldi and Dongxing Zhu. Their work appears in journals such as Vascular Pharmacology, Molecular Human Reproduction, Cardiovascular Research, Molecular Biology Reports and PLoS ONE.
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.