Beichen Sun
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Glioma Diagnosis and Treatment
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- Carcinogens and Genotoxicity Assessment
Papers in
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Virus-based gene therapy research 4
- Diabetes and associated disorders 1
-
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Donna L. Senger (6 shared papers)Peter A. Forsyth (6 shared papers)John J. Kelly (4 shared papers)Xueqing Q. Lun (3 shared papers)Samuel Weiss (3 shared papers)Owen D.M. Stechishin (3 shared papers)John Cameron Bell (4 shared papers)Hongyuan Zhou (4 shared papers)
- Journals
- Mutation research. Fundamental and molecular mechanisms of mutagenesis (2 papers)Neuro-Oncology (2 papers)Clinical Cancer Research (1 paper)Stem Cells (1 paper)Diabetes (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Beichen Sun
12 papers receiving 555 citations
Peers
Comparison fields: 5 of 38
- Genetics 196
- Genetics 229
- Cancer Research 59
- Virology 15
- Oncology 68
Countries citing papers authored by Beichen Sun
This map shows the geographic impact of Beichen Sun'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 Beichen Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beichen Sun more than expected).
Fields of papers citing papers by Beichen Sun
This network shows the impact of papers produced by Beichen Sun. 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 Beichen Sun. The network helps show where Beichen Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Beichen Sun, 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 | 2009 | 163 | |
| 2 | 2007 | 96 | |
| 3 | 2010 | 82 | |
| 4 | 2008 | 63 | |
| 5 | 2008 | 48 | |
| 6 | 2013 | 45 | |
| 7 | 2013 | 19 | |
| 8 | 1999 | 18 | |
| 9 | 1999 | 16 | |
| 10 | 2002 | 14 | |
| 11 | On the relationship between mutant frequency and time in vivo | 1999 | 1 |
| 12 | 2011 | 1 | |
| 13 | 2026 | 0 |
About Beichen Sun
Beichen Sun is a scholar working on Genetics, Genetics, Cancer Research, Oncology and Physiology, having authored 13 papers that have together received 566 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Virus-based gene therapy research (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Cancer Cells and Metastasis (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Diabetes and associated disorders (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Genetics (196 citations), Genetics (229 citations), Cancer Research (59 citations), Virology (15 citations) and Oncology (68 citations). Beichen Sun has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Donna L. Senger, Peter A. Forsyth, John J. Kelly, Xueqing Q. Lun, Samuel Weiss, Owen D.M. Stechishin, John Cameron Bell, Hongyuan Zhou, John Gregory Cairncross and Grant McFadden. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Neuro-Oncology, Clinical Cancer Research, Stem Cells and Diabetes.
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.