Cong Fu
Impact in
-
- Circadian rhythm and melatonin
- Genetics top 10%
- Mesenchymal stem cell research
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
- Genetics 10
- Mesenchymal stem cell research 6
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 5
- Co-authors
- Yuyu Yao (16 shared papers)Yuhan Cao (14 shared papers)Genshan Ma (5 shared papers)Ran Huo (8 shared papers)Jianhai Bi (4 shared papers)Genshan Ma (2 shared papers)Julie Chao (4 shared papers)Yong Mei Tang (2 shared papers)
- Journals
- Disease Markers (4 papers)Annals of Medicine (3 papers)Clinical and investigative medicine (2 papers)Biomedicine & Pharmacotherapy (1 paper)Epigenomics (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Cong Fu
43 papers receiving 612 citations
Peers
Comparison fields: 5 of 67
- Endocrine and Autonomic Systems 70
- Genetics 101
- Cancer Research 53
- Molecular Biology 179
- Nephrology 26
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 74 | |
| 2 | 2012 | 54 | |
| 3 | 2015 | 39 | |
| 4 | 2014 | 35 | |
| 5 | 2016 | 29 | |
| 6 | 2022 | 29 | |
| 7 | 2015 | 25 | |
| 8 | 2012 | 23 | |
| 9 | 2013 | 21 | |
| 10 | 2017 | 21 | |
| 11 | 2007 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2022 | 13 |
About Cong Fu
Cong Fu is a scholar working on Genetics, Nephrology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Molecular Biology, having authored 49 papers that have together received 620 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Vascular Malformations and Hemangiomas (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Circadian rhythm and melatonin (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (70 citations), Genetics (101 citations), Cancer Research (53 citations), Molecular Biology (179 citations) and Nephrology (26 citations). Cong Fu has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Yuyu Yao, Yuhan Cao, Genshan Ma, Ran Huo, Jianhai Bi, Genshan Ma, Julie Chao, Yong Mei Tang, Lee Chao and Yongjun Li. Their work appears in journals such as Disease Markers, Annals of Medicine, Clinical and investigative medicine, Biomedicine & Pharmacotherapy and Epigenomics.
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.