Beiyun Chen

4.6k total citations
68 papers, 3.0k citations indexed

About

Beiyun Chen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Beiyun Chen has authored 68 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 28 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Molecular Biology. Recurrent topics in Beiyun Chen's work include HER2/EGFR in Cancer Research (40 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and Breast Cancer Treatment Studies (19 papers). Beiyun Chen is often cited by papers focused on HER2/EGFR in Cancer Research (40 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and Breast Cancer Treatment Studies (19 papers). Beiyun Chen collaborates with scholars based in United States, Germany and Belgium. Beiyun Chen's co-authors include Priti Lal, Marc Ladanyi, Lee K. Tan, Qiulu Pan, Rohit Bhargava, William L. Gerald, Paulo Salazar, Allan R. Li, Robert B. Jenkins and Sejal Shah and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Beiyun Chen

66 papers receiving 2.9k citations

Peers

Beiyun Chen
Claire Barton United Kingdom
Li‐E Wang United States
Diane L. Persons United States
Yoon‐La Choi South Korea
Coya Tapia Switzerland
Helmout Modjtahedi United Kingdom
Kalle Alanen Finland
Claire Barton United Kingdom
Beiyun Chen
Citations per year, relative to Beiyun Chen Beiyun Chen (= 1×) peers Claire Barton

Countries citing papers authored by Beiyun Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beiyun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Beiyun Chen. A scholar is included among the top collaborators of Beiyun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beiyun Chen. Beiyun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Geiersbach, Katherine B., Reid G. Meyer, Grant M. Spears, et al.. (2021). Detailed Reanalysis of 500 Breast Cancers With Equivocal HER2 Immunohistochemistry and Borderline ERBB2 Fluorescence In Situ Hybridization Results. American Journal of Clinical Pathology. 156(5). 886–894. 1 indexed citations
3.
Erickson, Lori A. & Beiyun Chen. (2021). Papillary Thyroid Carcinoma BRAF Immunopositivity. Mayo Clinic Proceedings. 96(1). 267–268. 1 indexed citations
5.
Perez, Edith A., E. Aubrey Thompson, Karla V. Ballman, et al.. (2015). Genomic Analysis Reveals That Immune Function Genes Are Strongly Linked to Clinical Outcome in the North Central Cancer Treatment Group N9831 Adjuvant Trastuzumab Trial. Journal of Clinical Oncology. 33(7). 701–708. 144 indexed citations
6.
Dueck, Amylou C., Monica M. Reinholz, Xochiquetzal J. Geiger, et al.. (2013). Impact of c-MYC Protein Expression on Outcome of Patients with Early-Stage HER2+ Breast Cancer Treated with Adjuvant Trastuzumab NCCTG (Alliance) N9831. Clinical Cancer Research. 19(20). 5798–5807. 19 indexed citations
7.
Perez, Edith A., Amylou C. Dueck, Ann E. McCullough, et al.. (2013). Impact of PTEN Protein Expression on Benefit From Adjuvant Trastuzumab in Early-Stage Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer in the North Central Cancer Treatment Group N9831 Trial. Journal of Clinical Oncology. 31(17). 2115–2122. 89 indexed citations
8.
Wahner‐Roedler, Dietlind L., Judy C. Boughey, Carrie B. Hruska, et al.. (2012). The Use of Molecular Breast Imaging to Assess Response in Women Undergoing Neoadjuvant Therapy for Breast Cancer. Clinical Nuclear Medicine. 37(4). 344–350. 18 indexed citations
9.
Sciallis, Andrew P., Beiyun Chen, & Andrew L. Folpe. (2012). Cellular Spindled Histiocytic Pseudotumor Complicating Mammary Fat Necrosis. The American Journal of Surgical Pathology. 36(10). 1571–1578. 14 indexed citations
10.
Perez, Edith A., Amylou C. Dueck, Ann E. McCullough, et al.. (2011). Predictability of Adjuvant Trastuzumab Benefit in N9831 Patients Using the ASCO/CAP HER2-Positivity Criteria. JNCI Journal of the National Cancer Institute. 104(2). 159–162. 57 indexed citations
11.
Reinholz, Monica M., Jeanette E. Eckel‐Passow, S. Keith Anderson, et al.. (2010). Expression profiling of formalin-fixed paraffin-embedded primary breast tumors using cancer-specific and whole genome gene panels on the DASL®platform. BMC Medical Genomics. 3(1). 60–60. 11 indexed citations
12.
Huang, Weidong, Monica M. Reinholz, Jodi Weidler, et al.. (2010). Comparison of Central HER2 Testing With Quantitative Total HER2 Expression and HER2 Homodimer Measurements Using a Novel Proximity-Based Assay. American Journal of Clinical Pathology. 134(2). 303–311. 34 indexed citations
13.
Shah, Sejal, Rhett P. Ketterling, Matthew P. Goetz, et al.. (2009). Impact of American Society of Clinical Oncology/College of American Pathologists guideline recommendations on HER2 interpretation in breast cancer. Human Pathology. 41(1). 103–106. 30 indexed citations
14.
Chen, Beiyun, et al.. (2006). Validation of the 2-????Ct Calculation as an Alternate Method of Data Analysis for Quantitative PCR of BCR-ABL P210 Transcripts. Diagnostic Molecular Pathology. 15(1). 56–61. 345 indexed citations
15.
Lal, Priti, Lee K. Tan, & Beiyun Chen. (2005). Correlation of HER-2 Status With Estrogen and Progesterone Receptors and Histologic Features in 3,655 Invasive Breast Carcinomas. American Journal of Clinical Pathology. 123(4). 541–546. 160 indexed citations
16.
Lal, Priti, Paulo Salazar, Clifford A. Hudis, Marc Ladanyi, & Beiyun Chen. (2004). HER-2 Testing in Breast Cancer Using Immunohistochemical Analysis and Fluorescence In Situ Hybridization. American Journal of Clinical Pathology. 121(5). 631–636. 129 indexed citations
17.
Lal, Priti, Paulo Salazar, Clifford A. Hudis, Marc Ladanyi, & Beiyun Chen. (2004). HER-2 Testing in Breast Cancer Using Immunohistochemical Analysis and Fluorescence In Situ Hybridization : A Single-Institution Experience of 2,279 Cases and Comparison of Dual-Color and Single-Color Scoring. American Journal of Clinical Pathology. 121(5). 631–636. 13 indexed citations
18.
Nathanson, Daniel R., Alfred T. Culliford, Jinru Shia, et al.. (2003). HER 2/neu expression and gene amplification in colon cancer. International Journal of Cancer. 105(6). 796–802. 81 indexed citations
19.
Nathanson, Daniel R., Garrett M. Nash, Beiyun Chen, William L. Gerald, & Philip B. Paty. (2003). Detection of HER-2/ neu gene Amplification in Breast Cancer Using a Novel Polymerase Chain Reaction/ligase Detection Reaction Technique. Journal of the American College of Surgeons. 197(3). 419–425. 13 indexed citations
20.
Chen, Beiyun, Suresh C. Jhanwar, & Marc Ladanyi. (2001). Rearrangement in the Coding Region of the MYCN Gene in a Subset of Amplicons in a Case of Neuroblastoma With MYCN Amplification. Diagnostic Molecular Pathology. 10(2). 100–104. 3 indexed citations

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.

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