Xiao‐Fan Wang
Impact in
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- Cardiac Fibrosis and Remodeling
Papers in
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- TGF-β signaling in diseases 3
- Cancer-related gene regulation 2
- Renal and related cancers 1
- Oncology 2
- Co-authors
- Nikolaos G. Frangogiannis (1 shared paper)Marcin Dobaczewski (1 shared paper)Na Li (1 shared paper)Carlos Gonzalez‐Quesada (1 shared paper)Leonardo H. Mendoza (1 shared paper)Marcin Bujak (1 shared paper)Joshua P. Frederick (1 shared paper)Carolyn Wong (1 shared paper)
- Journals
- Nature Communications (1 paper)Circulation Research (1 paper)Advanced Science (1 paper)Molecular and Cellular Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiao‐Fan Wang
7 papers receiving 825 citations
Xiao‐Fan Wang's Hit Papers
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 208
- Biological Psychiatry 16
- Molecular Biology 458
- Cancer Research 87
- Oncology 156
Countries citing papers authored by Xiao‐Fan Wang
This map shows the geographic impact of Xiao‐Fan Wang'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 Xiao‐Fan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Fan Wang more than expected).
Fields of papers citing papers by Xiao‐Fan Wang
This network shows the impact of papers produced by Xiao‐Fan Wang. 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 Xiao‐Fan Wang. The network helps show where Xiao‐Fan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Fan Wang, 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 | 2010 | 321 | |
| 2 | 1997 | 245 | |
| 3 | Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression Hit paper breakdown → | 2022 | 180 |
| 4 | 2001 | 48 | |
| 5 | 2023 | 16 | |
| 6 | 2024 | 12 | |
| 7 | 2013 | 12 |
About Xiao‐Fan Wang
Xiao‐Fan Wang is a scholar working on Molecular Biology, Oncology, Nephrology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 834 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Cancer-related gene regulation (2 papers), Immunotherapy and Immune Responses (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (208 citations), Biological Psychiatry (16 citations), Molecular Biology (458 citations), Cancer Research (87 citations) and Oncology (156 citations). Xiao‐Fan Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nikolaos G. Frangogiannis, Marcin Dobaczewski, Na Li, Carlos Gonzalez‐Quesada, Leonardo H. Mendoza, Marcin Bujak, Joshua P. Frederick, Carolyn Wong, Jonathan M. Yingling and Michael Datto. Their work appears in journals such as Nature Communications, Circulation Research, Advanced Science, Molecular and Cellular Biology and Nature Cell Biology.
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.