Beiyun Chen

4.6k citations
68 papers · 3.0k · h-index 28

Impact in

  • Oncology top 1%
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis
    • Breast Cancer Treatment Studies

Papers in

Beiyun Chen

66 papers receiving 2.9k citations

Peers

Beiyun Chen
Comparison fields: 5 of 110
  • Oncology 1.9k
  • Cancer Research 855
  • Radiology, Nuclear Medicine and Imaging 830
  • Pathology and Forensic Medicine 374
  • Molecular Biology 1.1k
Replace Claire Barton with:
Claire Barton United Kingdom
Diane L. Persons United States
Yoon‐La Choi South Korea
Kalle Alanen Finland
Petra van der Groep Netherlands
Li‐E Wang United States
Giulia Viale Italy
Margaret C. Cummings Australia
Takashi Fukutomi Japan
Craig Allred United States
Beiyun Chen relative to Claire Barton United Kingdom Claire Barton's profile →
Citations per field
00.5×1.5×1.9×
Claire Barton · 1×
Citations per year

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-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.

Border = papers with Beiyun Chen Line = papers co-authored together Beiyun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006345
2 2005272
3 2011173
4 2001168
5 2005160
6 2015144
7 2004129
8 2005127
9 2002102
10 200394
11 201389
12 200381
13 201363
14 201157
15 201057
16 201252
17 201250
18 200550
19 201950
20 201449

About Beiyun Chen

Beiyun Chen is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 68 papers that have together received 3.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (40 papers), Monoclonal and Polyclonal Antibodies Research (26 papers), Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (14 papers), Cancer and Skin Lesions (8 papers), Advanced Biosensing Techniques and Applications (6 papers), Glycosylation and Glycoproteins Research (6 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Oncology (1.9k citations), Cancer Research (855 citations), Radiology, Nuclear Medicine and Imaging (830 citations), Pathology and Forensic Medicine (374 citations) and Molecular Biology (1.1k citations). Beiyun Chen has collaborated with scholars based in United States, Belgium and Germany. Frequent 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. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Clinical Oncology, Mayo Clinic Proceedings, Diagnostic Molecular Pathology and Human Pathology.

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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