Cong Fu
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Extracellular vesicles in disease 5
- Circular RNAs in diseases 3
- Surgery 13
- Vascular Malformations and Hemangiomas 4
- Co-authors
- Yuyu Yao (16 shared papers)Wenbin Lu (4 shared papers)Yuhan Cao (14 shared papers)Genshan Ma (5 shared papers)Ran Huo (8 shared papers)David C. Klein (3 shared papers)Steven L. Coon (3 shared papers)Yong Tang (2 shared papers)
- Journals
- Disease Markers (4 papers)Annals of Medicine (3 papers)Clinical and investigative medicine (2 papers)PLoS ONE (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Cong Fu
42 papers receiving 516 citations
Peers
Comparison fields: 5 of 87
- Genetics 102
- Cancer Research 87
- Endocrine and Autonomic Systems 37
- Neurology 31
- Molecular Biology 257
Countries citing papers authored by Cong Fu
This map shows the geographic impact of Cong 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 Cong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Fu more than expected).
Fields of papers citing papers by Cong Fu
This network shows the impact of papers produced by Cong 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 Cong Fu. The network helps show where Cong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 54 | |
| 2 | 2015 | 37 | |
| 3 | 2014 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2015 | 25 | |
| 6 | 2022 | 25 | |
| 7 | 2015 | 23 | |
| 8 | 2012 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 2013 | 18 | |
| 11 | 2007 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2022 | 11 |
About Cong Fu
Cong Fu is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Immunology and Genetics, having authored 48 papers that have together received 521 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Extracellular vesicles in disease (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), MicroRNA in disease regulation (4 papers), Cardiovascular Disease and Adiposity (4 papers), Vascular Malformations and Hemangiomas (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Genetics (102 citations), Cancer Research (87 citations), Endocrine and Autonomic Systems (37 citations), Neurology (31 citations) and Molecular Biology (257 citations). Cong Fu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yuyu Yao, Wenbin Lu, Yuhan Cao, Genshan Ma, Ran Huo, David C. Klein, Steven L. Coon, Yong Tang, Yongjun Li and Chengxing Shen. Their work appears in journals such as Disease Markers, Annals of Medicine, Clinical and investigative medicine, PLoS ONE and Human Gene Therapy.
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.