Beichen Sun

664 citations
14 papers · 559 · h-index 11

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Virus-based gene therapy research 5
    • Cancer Cells and Metastasis 2

Beichen Sun

13 papers receiving 546 citations

Peers

Beichen Sun
Comparison fields: 5 of 61
  • Genetics 85
  • Genetics 233
  • Oncology 191
  • Developmental Neuroscience 25
  • Cancer Research 80
Replace Irma Heid with:
Irma Heid Switzerland
Xueqing Lun Canada
Lisa Woodworth United States
Stefania Merella Italy
Helen Impey Australia
Tiziano Di Tomaso Italy
Anthony Pawson Canada
Cécile Zaupa United States
Dawid P. Grzela Poland
Jianghong Man China
Beichen Sun relative to Irma Heid Switzerland Irma Heid's profile →
Citations per field
00.5×4.5×
Irma Heid · 1×
Citations per year

Countries citing papers authored by Beichen Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

14 of 14 papers shown
#Work
1 2009153
2 200792
3 201081
4 200861
5 200847
6 201343
7 201319
8 199918
9 199916
10 200212
11 202412
12 20224
13
On the relationship between mutant frequency and time in vivo
19991
14 20260

About Beichen Sun

Beichen Sun is a scholar working on Genetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 14 papers that have together received 559 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cancer Cells and Metastasis (2 papers), Genetic factors in colorectal cancer (2 papers), Diabetes Management and Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Genetics (85 citations), Genetics (233 citations), Oncology (191 citations), Developmental Neuroscience (25 citations) and Cancer Research (80 citations). Beichen Sun has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Peter Forsyth, Donna L. Senger, John J. Kelly, Xueqing Lun, John C. Bell, Hongyuan Zhou, Samuel Weiss, John A. Heddle, J. Gregory Cairncross and Grant McFadden. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Molecular Therapy, Stem Cells, The Visual Computer and Clinical Cancer Research.

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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