Bingnan Gu
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- DNA Repair Mechanisms
- Wnt/β-catenin signaling in development and cancer
- Histone Deacetylase Inhibitors Research
- Cancer Research top 10%
Papers in
-
- Epigenetics and DNA Methylation 10
- Cancer-related gene regulation 10
- Wnt/β-catenin signaling in development and cancer 6
- CRISPR and Genetic Engineering 4
- Genomics and Chromatin Dynamics 4
- Viral Infectious Diseases and Gene Expression in Insects 3
- DNA Repair Mechanisms 2
- Genetics 7
- Virus-based gene therapy research 5
- Co-authors
- Min Gyu LeeXing DaiPhang‐Lang ChenShilpa S. DharHunain AlamMin LeeKazuhide WatanabeEva Y.-H.P. Lee
- Journals
- Cell Cycle (2 papers)Cancer Cell (2 papers)Human Gene Therapy (1 paper)Journal of Cellular Biochemistry (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Bingnan Gu
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.2k
- Cancer Research 242
- Oncology 295
- Genetics 214
- Aging 10
Countries citing papers authored by Bingnan Gu
This map shows the geographic impact of Bingnan Gu'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 Bingnan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingnan Gu more than expected).
Fields of papers citing papers by Bingnan Gu
This network shows the impact of papers produced by Bingnan Gu. 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 Bingnan Gu. The network helps show where Bingnan Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bingnan Gu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 157 | |
| 8 | 2018 | 63 | |
| 9 | 2018 | 107 | |
| 10 | 2016 | 51 | |
| 11 | 2015 | 81 | |
| 12 | 2015 | 12 | |
| 13 | 2014 | 189 | |
| 14 | 2012 | 27 | |
| 15 | 2010 | 23 | |
| 16 | 2009 | 22 | |
| 17 | 2009 | 101 | |
| 18 | 2008 | 52 | |
| 19 | 2006 | 87 | |
| 20 | 2005 | 99 |
About Bingnan Gu
Bingnan Gu is a scholar working on Molecular Biology, Genetics, Biophysics, Reproductive Medicine and Oncology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Cancer-related gene regulation (10 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (242 citations), Oncology (295 citations), Genetics (214 citations) and Aging (10 citations). Bingnan Gu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Min Gyu Lee, Xing Dai, Phang‐Lang Chen, Shilpa S. Dhar, Hunain Alam, Min Lee, Kazuhide Watanabe, Eva Y.-H.P. Lee, Wen‐Hwa Lee and Saori Furuta. Their work appears in journals such as Cell Cycle, Cancer Cell, Human Gene Therapy, Journal of Cellular Biochemistry and Frontiers in Microbiology.
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.