Chan Gu
Impact in
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 8
- DNA and Nucleic Acid Chemistry 5
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
-
- Reproductive Biology and Fertility 3
- Co-authors
- Fan Guo (10 shared papers)Yi Qin Gao (8 shared papers)Rui Yan (5 shared papers)Lijiang Yang (4 shared papers)Haibo Zhou (1 shared paper)Hui Yang (1 shared paper)Xinde Hu (1 shared paper)Yixue Li (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Cell Research (1 paper)iScience (1 paper)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Chan Gu
19 papers receiving 1.1k citations
Chan Gu's Hit Papers
Peers
Comparison fields: 5 of 110
- Business and International Management 42
- Aging 27
- Molecular Biology 931
- Genetics 200
- Public Health, Environmental and Occupational Health 109
Countries citing papers authored by Chan Gu
This map shows the geographic impact of Chan 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 Chan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Gu more than expected).
Fields of papers citing papers by Chan Gu
This network shows the impact of papers produced by Chan 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 Chan Gu. The network helps show where Chan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan 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 | Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis Hit paper breakdown → | 2019 | 358 |
| 2 | 2013 | 235 | |
| 3 | 2018 | 122 | |
| 4 | 2021 | 86 | |
| 5 | 2014 | 80 | |
| 6 | 2022 | 72 | |
| 7 | 2016 | 40 | |
| 8 | 2017 | 27 | |
| 9 | 2014 | 19 | |
| 10 | 2021 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2013 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2017 | 4 | |
| 19 | 2020 | 1 |
About Chan Gu
Chan Gu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Reproductive Biology and Fertility (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Business and International Management (42 citations), Aging (27 citations), Molecular Biology (931 citations), Genetics (200 citations) and Public Health, Environmental and Occupational Health (109 citations). Chan Gu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Fan Guo, Yi Qin Gao, Rui Yan, Lijiang Yang, Haibo Zhou, Hui Yang, Xinde Hu, Yixue Li, Yajing Liu and Rong Zeng. Their work appears in journals such as The Journal of Physical Chemistry B, Scientific Reports, Nature Communications, Cell Research and iScience.
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.