Beiyun Chen
Impact in
- Oncology top 2%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Oncology 36
- HER2/EGFR in Cancer Research 33
-
- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- Priti Lal (11 shared papers)Marc Ladanyi (7 shared papers)Lee K. Tan (3 shared papers)Qiulu Pan (2 shared papers)Rohit Bhargava (8 shared papers)William L. Gerald (6 shared papers)Paulo A. Salazar (3 shared papers)Allan R. Li (2 shared papers)
- Journals
- American Journal of Clinical Pathology (12 papers)Mayo Clinic Proceedings (7 papers)Journal of Clinical Oncology (6 papers)Diagnostic Molecular Pathology (6 papers)Breast Cancer Research and Treatment (4 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Beiyun Chen
73 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 115
- Oncology 1.8k
- Cancer Research 886
- Radiology, Nuclear Medicine and Imaging 629
- Pathology and Forensic Medicine 328
- Molecular Biology 1.0k
Countries citing papers authored by Beiyun Chen
This map shows the geographic impact of Beiyun Chen'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 Beiyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiyun Chen more than expected).
Fields of papers citing papers by Beiyun Chen
This network shows the impact of papers produced by Beiyun Chen. 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 Beiyun Chen. The network helps show where Beiyun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Beiyun Chen, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 357 | |
| 2 | 2005 | 288 | |
| 3 | 2011 | 206 | |
| 4 | 2005 | 173 | |
| 5 | 2001 | 172 | |
| 6 | 2020 | 169 | |
| 7 | 2015 | 167 | |
| 8 | 2005 | 134 | |
| 9 | 2004 | 134 | |
| 10 | 2002 | 112 | |
| 11 | 2003 | 97 | |
| 12 | 2013 | 93 | |
| 13 | 2003 | 85 | |
| 14 | 2021 | 80 | |
| 15 | 2013 | 72 | |
| 16 | 2011 | 67 | |
| 17 | 2014 | 61 | |
| 18 | 2010 | 59 | |
| 19 | 2011 | 58 | |
| 20 | 2019 | 57 |
About Beiyun Chen
Beiyun Chen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 77 papers that have together received 3.6k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (33 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (9 papers), Advanced Biosensing Techniques and Applications (7 papers), Cancer and Skin Lesions (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Oncology (1.8k citations), Cancer Research (886 citations), Radiology, Nuclear Medicine and Imaging (629 citations), Pathology and Forensic Medicine (328 citations) and Molecular Biology (1.0k citations). Beiyun Chen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Priti Lal, Marc Ladanyi, Lee K. Tan, Qiulu Pan, Rohit Bhargava, William L. Gerald, Paulo A. Salazar, Allan R. Li, Robert Brian Jenkins and Sejal Shah. Their work appears in journals such as American Journal of Clinical Pathology, Mayo Clinic Proceedings, Journal of Clinical Oncology, Diagnostic Molecular Pathology and Breast Cancer Research and Treatment.
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.