Xiaofeng Gu
Impact in
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- Genetic Neurodegenerative Diseases
- Plant Science top 1%
- Plant Molecular Biology Research
Papers in
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- RNA modifications and cancer 13
- Plant Gene Expression Analysis 11
- Cancer-related gene regulation 9
- Plant Reproductive Biology 8
- Mitochondrial Function and Pathology 7
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- Plant Molecular Biology Research 29
- Plant nutrient uptake and metabolism 11
- Co-authors
- Yuehui He (11 shared papers)Zhe Liang (16 shared papers)Danhua Jiang (6 shared papers)X. William Yang (12 shared papers)Hao Yu (7 shared papers)Yizhong Wang (5 shared papers)Lisha Shen (5 shared papers)Tiegang Lu (10 shared papers)
- Journals
- Molecular Plant (9 papers)Neuron (5 papers)New Phytologist (5 papers)PLoS Genetics (4 papers)Plant Biotechnology Journal (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaofeng Gu
84 papers receiving 4.9k citations
Xiaofeng Gu's Hit Papers
Peers
Comparison fields: 5 of 137
- Cellular and Molecular Neuroscience 985
- Plant Science 2.0k
- Molecular Biology 3.6k
- Neurology 323
- Neurology 407
Countries citing papers authored by Xiaofeng Gu
This map shows the geographic impact of Xiaofeng 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 Xiaofeng Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Gu more than expected).
Fields of papers citing papers by Xiaofeng Gu
This network shows the impact of papers produced by Xiaofeng 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 Xiaofeng Gu. The network helps show where Xiaofeng Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng 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
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | N6-Methyladenine DNA Modification in the Human Genome Hit paper breakdown → | 2018 | 379 |
| 2 | 2016 | 330 | |
| 3 | 2018 | 273 | |
| 4 | 2009 | 244 | |
| 5 | 2017 | 194 | |
| 6 | 2018 | 187 | |
| 7 | 2005 | 180 | |
| 8 | 2019 | 168 | |
| 9 | 2020 | 165 | |
| 10 | 2013 | 163 | |
| 11 | 2014 | 149 | |
| 12 | 2017 | 143 | |
| 13 | 2009 | 141 | |
| 14 | 2011 | 139 | |
| 15 | 2018 | 125 | |
| 16 | 2014 | 117 | |
| 17 | 2008 | 114 | |
| 18 | 2011 | 107 | |
| 19 | 2007 | 94 | |
| 20 | 2011 | 82 |
About Xiaofeng Gu
Xiaofeng Gu is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 85 papers that have together received 4.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (29 papers), RNA modifications and cancer (13 papers), Genetic Neurodegenerative Diseases (12 papers), Plant nutrient uptake and metabolism (11 papers), Plant Gene Expression Analysis (11 papers), Cancer-related gene regulation (9 papers), Plant Reproductive Biology (8 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (985 citations), Plant Science (2.0k citations), Molecular Biology (3.6k citations), Neurology (323 citations) and Neurology (407 citations). Xiaofeng Gu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yuehui He, Zhe Liang, Danhua Jiang, X. William Yang, Hao Yu, Yizhong Wang, Lisha Shen, Tiegang Lu, Xuean Cui and István Módy. Their work appears in journals such as Molecular Plant, Neuron, New Phytologist, PLoS Genetics and Plant 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.