Bingxue Yan

674 total citations
11 papers, 286 citations indexed

About

Bingxue Yan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Bingxue Yan has authored 11 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Genetics. Recurrent topics in Bingxue Yan's work include Growth Hormone and Insulin-like Growth Factors (3 papers), RNA Interference and Gene Delivery (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Bingxue Yan is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), RNA Interference and Gene Delivery (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Bingxue Yan collaborates with scholars based in China and United States. Bingxue Yan's co-authors include Xiaoling Ling, Jingjuan Yu, Xiujing Hao, Guangming Ao, Yantao Yang, Qian Zhao, Dengyun Zhu, Xiaoxiang Hu, Minxuan Sun and Jie Yu and has published in prestigious journals such as Cancer Research, Journal of Virology and Journal of Cellular Biochemistry.

In The Last Decade

Bingxue Yan

11 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bingxue Yan China 8 188 139 61 40 35 11 286
Cencen Li China 12 389 2.1× 251 1.8× 31 0.5× 80 2.0× 11 0.3× 23 512
Ayumi Kato Japan 10 213 1.1× 37 0.3× 45 0.7× 115 2.9× 11 0.3× 20 319
Jinbao Gu China 12 248 1.3× 79 0.6× 147 2.4× 17 0.4× 14 0.4× 32 376
Jiasheng Zhong China 8 215 1.1× 161 1.2× 75 1.2× 12 0.3× 26 0.7× 12 336
Junwei Lian China 8 187 1.0× 135 1.0× 18 0.3× 18 0.5× 33 0.9× 18 310
Richard Patryk Ngondo France 11 423 2.3× 109 0.8× 35 0.6× 55 1.4× 10 0.3× 19 473
Cristina Barbosa Portugal 7 398 2.1× 43 0.3× 30 0.5× 30 0.8× 7 0.2× 10 471
Judith Hauptmann Germany 10 345 1.8× 138 1.0× 108 1.8× 12 0.3× 5 0.1× 15 441

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-authorship network of co-authors of Bingxue Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Bingxue Yan. A scholar is included among the top collaborators of Bingxue Yan 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 Bingxue Yan. Bingxue Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Black, Lindsay W., Bingxue Yan, & Krishanu Ray. (2020). The T4 TerL Prohead Packaging Motor Does Not Drive DNA Translocation by a Proposed Dehydration Mechanism. Viruses. 12(5). 522–522. 5 indexed citations
3.
Yan, Bingxue, et al.. (2020). RNAi drugs: Next generation drugs?. Chinese Science Bulletin (Chinese Version). 65(7). 540–546. 1 indexed citations
4.
Jiang, Siyuan, Xuetong Wang, Dalong Song, et al.. (2019). Cholesterol Induces Epithelial-to-Mesenchymal Transition of Prostate Cancer Cells by Suppressing Degradation of EGFR through APMAP. Cancer Research. 79(12). 3063–3075. 81 indexed citations
5.
Yan, Bingxue, Yantao Yang, Xiujing Hao, et al.. (2008). Zm401, a short‐open reading‐frame mRNA or noncoding RNA, is essential for tapetum and microspore development and can regulate the floret formation in maize. Journal of Cellular Biochemistry. 105(1). 136–146. 79 indexed citations
6.
Yu, Shuyang, Mifang Liang, Baoliang Fan, et al.. (2006). Maternally Derived Recombinant Human Anti-Hantavirus Monoclonal Antibodies Are Transferred to Mouse Offspring during Lactation and Neutralize Virus In Vitro. Journal of Virology. 80(8). 4183–4186. 8 indexed citations
7.
Yan, Bingxue, et al.. (2005). Insulin-like growth factor 2 as a candidate gene influencing growth and carcass traits and its bialleleic expression in chicken. Science in China Series C Life Sciences. 48(2). 187–194. 22 indexed citations
8.
Yu, Zhengquan, Yan Li, Qingyong Meng, et al.. (2005). Comparative analysis of the pig BAC sequence involved in the regulation of myostatin gene. Science in China Series C Life Sciences. 48(2). 168–180. 7 indexed citations
9.
Yan, Bingxue. (2003). Single nucleotide polymorphism analysis in chicken growth hormone gene and its associations with growth and carcass traits. Chinese Science Bulletin. 48(15). 1561–1561. 1 indexed citations
10.
Yan, Bingxue, Xuemei Deng, Fei Jing, et al.. (2003). Single nucleotide polymorphism analysis in chicken growth hormone gene and its associations with growth and carcass traits. Chinese Science Bulletin. 48(15). 1561–1564. 10 indexed citations
11.
Yan, Bingxue, Ning Li, Xiaoxiang Hu, et al.. (2002). [Single nucleotide polymorphism analysis in chicken insulin-like growth factor-II gene and its associations with growth and carcass traits].. PubMed. 29(1). 30–3. 7 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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