Congfan Bu
Impact in
-
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
-
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Gut microbiota and health
Papers in
-
- Cancer Genomics and Diagnostics 4
-
- Genomics and Phylogenetic Studies 6
- Single-cell and spatial transcriptomics 4
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 1
- Gene expression and cancer classification 1
- Co-authors
- Jingyao Zeng (5 shared papers)Jingfa Xiao (5 shared papers)Yunfei Shang (3 shared papers)Zhenglin Du (3 shared papers)Jialin Mai (3 shared papers)Zaichao Zhang (2 shared papers)Zhewen Zhang (2 shared papers)Yadong Zhang (2 shared papers)
In The Last Decade
Congfan Bu
10 papers receiving 1.3k citations
Congfan Bu's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 129
- Molecular Biology 601
- Immunology 127
- Plant Science 205
- Aging 9
Countries citing papers authored by Congfan Bu
This map shows the geographic impact of Congfan Bu'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 Congfan Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congfan Bu more than expected).
Fields of papers citing papers by Congfan Bu
This network shows the impact of papers produced by Congfan Bu. 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 Congfan Bu. The network helps show where Congfan Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Congfan Bu, 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 | Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 Hit paper breakdown → | 2021 | 745 |
| 2 | Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024 Hit paper breakdown → | 2023 | 227 |
| 3 | Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025 Hit paper breakdown → | 2024 | 160 |
| 4 | 2021 | 72 | |
| 5 | 2022 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2021 | 9 | |
| 8 | 2025 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 1 |
About Congfan Bu
Congfan Bu is a scholar working on Cancer Research, Molecular Biology, Microbiology, Genetics and Pharmacology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (3 papers), Fermentation and Sensory Analysis (1 paper), RNA modifications and cancer (1 paper), Gene expression and cancer classification (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (129 citations), Molecular Biology (601 citations), Immunology (127 citations), Plant Science (205 citations) and Aging (9 citations). Congfan Bu has collaborated with scholars based in China, Canada and Russia. Frequent co-authors include Jingyao Zeng, Jingfa Xiao, Yunfei Shang, Zhenglin Du, Jialin Mai, Zaichao Zhang, Zhewen Zhang, Yadong Zhang, Shuo Shi and Mingming Lu. Their work appears in journals such as Nucleic Acids Research, The Plant Journal, BMC Genomics, Frontiers in Genetics and Computational and Structural Biotechnology Journal.
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.