Bingxue Yan

715 citations
12 papers · 299 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Plant and Fungal Interactions Research

Papers in

    • RNA Interference and Gene Delivery 2
    • Genomics and Chromatin Dynamics 2
    • Advanced biosensing and bioanalysis techniques 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Epigenetics and DNA Methylation 1
    • Growth Hormone and Insulin-like Growth Factors 3

Bingxue Yan

12 papers receiving 297 citations

Peers

Bingxue Yan
Comparison fields: 5 of 56
  • Cancer Research 128
  • Endocrinology 30
  • Molecular Biology 185
  • Plant Science 57
  • Genetics 40
Replace Zsófia Kiss with:
Zsófia Kiss United States
Lechen Li China
Ye Cheng China
Cristina Barbosa Portugal
Richard Patryk Ngondo France
S Kobayashi Japan
Jinbao Gu China
Mayumi Nakano United States
Evelyne Myslinski France
Ayumi Kato Japan
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Citations per field
00.5×5.3×
Zsófia Kiss · 1×
Citations per year

Countries citing papers authored by Bingxue Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bingxue Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201982
2 200879
3 202168
4 200524
5 200310
6 20068
7 20057
8 20197
9
[Single nucleotide polymorphism analysis in chicken insulin-like growth factor-II gene and its associations with growth and carcass traits].
20027
10 20205
11 20031
12 20201

About Bingxue Yan

Bingxue Yan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Infectious Diseases and Pathology and Forensic Medicine, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Chemotherapy-induced organ toxicity mitigation (1 paper), Prostate Cancer Treatment and Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (128 citations), Endocrinology (30 citations), Molecular Biology (185 citations), Plant Science (57 citations) and Genetics (40 citations). Bingxue Yan has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoling Ling, Dengyun Zhu, Yantao Yang, Guangming Ao, Jingjuan Yu, Xiujing Hao, Qian Zhao, Xiaoxiang Hu, Xuemei Deng and Zhou Tong. Their work appears in journals such as Journal of Virology, Cancer Cell International, Viruses, Journal of Cellular Biochemistry and Anticancer 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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