Xiaofeng A. Su
Impact in
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- DNA Repair Mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Nuclear Structure and Function
- Mitochondrial Function and Pathology
Papers in
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- DNA Repair Mechanisms 4
- Genomics and Chromatin Dynamics 4
- Nuclear Structure and Function 2
- RNA Research and Splicing 2
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- Genetic Neurodegenerative Diseases 3
- Co-authors
- Catherine H. Freudenreich (5 shared papers)Vincent Dion (1 shared paper)Susan M. Gasser (1 shared paper)Angelika Amon (3 shared papers)Duanduan Ma (3 shared papers)Haiyan Liu (1 shared paper)Yun Zhao (1 shared paper)Rui Ma (1 shared paper)
- Journals
- Genes & Development (3 papers)Proceedings of the National Academy of Sciences (2 papers)Genetics (1 paper)Molecular Systems Biology (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Xiaofeng A. Su
12 papers receiving 392 citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 323
- Physiology 15
- Cell Biology 52
- Cellular and Molecular Neuroscience 56
- Cancer Research 33
Countries citing papers authored by Xiaofeng A. Su
This map shows the geographic impact of Xiaofeng A. Su'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 A. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng A. Su more than expected).
Fields of papers citing papers by Xiaofeng A. Su
This network shows the impact of papers produced by Xiaofeng A. Su. 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 A. Su. The network helps show where Xiaofeng A. Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofeng A. Su, 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 | 2015 | 100 | |
| 2 | 2017 | 78 | |
| 3 | 2010 | 44 | |
| 4 | 2016 | 41 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 33 | |
| 7 | 2014 | 26 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 4 |
About Xiaofeng A. Su
Xiaofeng A. Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 12 papers that have together received 396 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Neurodegenerative Diseases (3 papers), Prostate Cancer Treatment and Research (2 papers), Nuclear Structure and Function (2 papers), RNA Research and Splicing (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Pharmaceutical Practices and Patient Outcomes (1 paper). The work is most often cited by research in Molecular Biology (323 citations), Physiology (15 citations), Cell Biology (52 citations), Cellular and Molecular Neuroscience (56 citations) and Cancer Research (33 citations). Xiaofeng A. Su has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Catherine H. Freudenreich, Vincent Dion, Susan M. Gasser, Angelika Amon, Duanduan Ma, Haiyan Liu, Yun Zhao, Rui Ma, Xiaoyu Ma and Jiarui Wu. Their work appears in journals such as Genes & Development, Proceedings of the National Academy of Sciences, Genetics, Molecular Systems Biology and PLoS Biology.
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.