Boying Dun

404 citations
16 papers · 324 · h-index 10

Impact in

    • Advanced biosensing and bioanalysis techniques
    • Glycosylation and Glycoproteins Research
    • Advanced Biosensing Techniques and Applications

Papers in

Boying Dun

16 papers receiving 318 citations

Peers

Boying Dun
Comparison fields: 5 of 62
  • Transplantation 14
  • Molecular Biology 209
  • Cancer Research 35
  • Organic Chemistry 50
  • Biomedical Engineering 72
Replace Müge Serhatlı with:
Müge Serhatlı Türkiye
Emeline Cros‐Perrial France
Don Jung United States
Ciara A. McManus Ireland
Bruno Gomes Canada
Joe Nguyen United States
Maiko Kimura Japan
Matthew Sullivan United States
Fangxia Wang China
André Roy United States
Boying Dun relative to Müge Serhatlı Türkiye Müge Serhatlı's profile →
Citations per field
00.5×3.5×
Müge Serhatlı · 1×
Citations per year

Countries citing papers authored by Boying Dun

Since Specialization
Citations

This map shows the geographic impact of Boying Dun'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 Boying Dun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boying Dun more than expected).

Fields of papers citing papers by Boying Dun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boying Dun. 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 Boying Dun. The network helps show where Boying Dun may publish in the future.

Co-authors

The 25 scholars most cited alongside Boying Dun, 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 Boying Dun Line = papers co-authored together Boying Dun links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201861
2 201158
3 201339
4 201529
5
Transcriptomic changes induced by mycophenolic acid in gastric cancer cells.
201324
6 201723
7 202017
8
Delineation of biological and molecular mechanisms underlying the diverse anticancer activities of mycophenolic acid.
201317
9 201317
10 201510
11 20209
12 20208
13
Tumor profiling of co-regulated receptor tyrosine kinase and chemoresistant genes reveal different targeting options for lung and gastroesophageal cancers.
20166
14 20204
15 20221
16 20191

About Boying Dun

Boying Dun is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 324 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (3 papers), Biochemical and Molecular Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Glycosylation and Glycoproteins Research (2 papers), MicroRNA in disease regulation (2 papers), Lung Cancer Treatments and Mutations (2 papers), Biosensors and Analytical Detection (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Transplantation (14 citations), Molecular Biology (209 citations), Cancer Research (35 citations), Organic Chemistry (50 citations) and Biomedical Engineering (72 citations). Boying Dun has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Lingwen Zeng, Ashok Sharma, Jin‐Xiong She, Puchang Lie, Jie Liu, Zhiyuan Fang, Sharad Purohit, Haitao Liu, Jin-Xiong She and Haitao Liu. Their work appears in journals such as Chemical Communications, PLoS ONE, Gynecologic Oncology, Nature Communications and Cancers.

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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