Cong Fu
Impact in
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
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- Acute Myeloid Leukemia Research
Papers in
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- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Animal Genetics and Reproduction 1
- Co-authors
- Jean Latreille (1 shared paper)M. Andreeff (1 shared paper)Emil J. Freireich (1 shared paper)Marvin L. Meistrich (1 shared paper)Barthel Barlogie (1 shared paper)Songwei Wang (2 shared papers)Hongbo Hu (2 shared papers)Junsong Sun (4 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Microbial Cell Factories (2 papers)Cell Research (1 paper)Development (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Cong Fu
15 papers receiving 331 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 52
- Hematology 39
- Molecular Biology 194
- Cell Biology 40
- Genetics 22
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
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of hematologic malignancies by flow cytometry. | 1980 | 71 |
| 2 | 2013 | 55 | |
| 3 | 2013 | 47 | |
| 4 | 2018 | 32 | |
| 5 | 2007 | 24 | |
| 6 | 2024 | 17 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 16 | |
| 9 | Transplantation of bradykinin-preconditioned human endothelial progenitor cells improves cardiac function via enhanced Akt/eNOS phosphorylation and angiogenesis. | 2015 | 14 |
| 10 | 2022 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 3 |
About Cong Fu
Cong Fu is a scholar working on Molecular Biology, Genetics, Cell Biology, Genetics and Hematology, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (3 papers), Infant Nutrition and Health (2 papers), Acute Myeloid Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), Bacterial Genetics and Biotechnology (2 papers), Ubiquitin and proteasome pathways (1 paper), Composting and Vermicomposting Techniques (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cancer Research (52 citations), Hematology (39 citations), Molecular Biology (194 citations), Cell Biology (40 citations) and Genetics (22 citations). Cong Fu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Jean Latreille, M. Andreeff, Emil J. Freireich, Marvin L. Meistrich, Barthel Barlogie, Songwei Wang, Hongbo Hu, Junsong Sun, Jiping Shi and Yi Zhou. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Microbial Cell Factories, Cell Research, Development and Frontiers in Bioengineering and Biotechnology.
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.