Ju Yuan

1.7k total citations
20 papers, 749 citations indexed

About

Ju Yuan is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Ju Yuan has authored 20 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Immunology. Recurrent topics in Ju Yuan's work include Microtubule and mitosis dynamics (6 papers), Toxin Mechanisms and Immunotoxins (4 papers) and DNA Repair Mechanisms (2 papers). Ju Yuan is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Toxin Mechanisms and Immunotoxins (4 papers) and DNA Repair Mechanisms (2 papers). Ju Yuan collaborates with scholars based in China, United States and Brazil. Ju Yuan's co-authors include Qing‐Yuan Sun, Heide Schatten, Mo Li, Yuanliang Hu, Deyun Wang, Shao‐Chen Sun, Jiaguo Liu, Yunpeng Fan, Xu Liu and Wei Liang and has published in prestigious journals such as PLoS ONE, Carbohydrate Polymers and AIDS.

In The Last Decade

Ju Yuan

20 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ju Yuan China 15 376 218 165 111 108 20 749
TSUTOMU MIMURA Japan 19 494 1.3× 107 0.5× 242 1.5× 62 0.6× 108 1.0× 82 1.2k
WU Wu-tong China 18 422 1.1× 98 0.4× 31 0.2× 76 0.7× 55 0.5× 65 810
Parimal C. Sen India 18 413 1.1× 67 0.3× 111 0.7× 74 0.7× 23 0.2× 62 830
Rajinder S. Sidhu United States 14 290 0.8× 323 1.5× 53 0.3× 155 1.4× 38 0.4× 23 1.1k
Zhan‐Qing Yang China 18 332 0.9× 50 0.2× 100 0.6× 49 0.4× 90 0.8× 67 886
Kiyoharu Takamatsu Japan 17 303 0.8× 58 0.3× 84 0.5× 132 1.2× 80 0.7× 24 913
Hyuck Kim South Korea 17 385 1.0× 38 0.2× 73 0.4× 54 0.5× 38 0.4× 55 827
Marjorie D. Skudlarek United States 15 319 0.8× 109 0.5× 301 1.8× 26 0.2× 88 0.8× 22 797
Jérôme Rambert France 13 233 0.6× 302 1.4× 136 0.8× 85 0.8× 9 0.1× 19 1.0k
Jon A. Friesen United States 15 481 1.3× 96 0.4× 43 0.3× 62 0.6× 24 0.2× 30 732

Countries citing papers authored by Ju Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ju Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Yuan

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

All Works

20 of 20 papers shown
1.
Liu, Xiaoyu, et al.. (2018). Association between Physical Activity and Higher Serum Creatinine/Uric Acid by Dose-response Association.. PubMed. 31(10). 769–772. 3 indexed citations
2.
3.
Ning, Gang, Jonathan G. Bijron, Ju Yuan, et al.. (2013). Differential Expression of p-ERM, a Marker of Cell Polarity, in Benign and Neoplastic Oviductal Epithelium. International Journal of Gynecological Pathology. 32(4). 345–352. 5 indexed citations
4.
Yuan, Ju, Yu Lu, Saifuding Abula, et al.. (2013). Optimization on Preparation Condition of Propolis Flavonoids Liposome by Response Surface Methodology and Research of Its Immunoenhancement Activity. Evidence-based Complementary and Alternative Medicine. 2013. 1–8. 12 indexed citations
5.
Yuan, Ju, Jiaguo Liu, Yuanliang Hu, et al.. (2012). The immunological activity of propolis flavonoids liposome on the immune response against ND vaccine. International Journal of Biological Macromolecules. 51(4). 400–405. 51 indexed citations
6.
Zhao, Xiaojuan, Jiaguo Liu, Yuanliang Hu, et al.. (2012). Optimization on condition of glycyrrhetinic acid liposome by RSM and the research of its immunological activity. International Journal of Biological Macromolecules. 51(3). 299–304. 51 indexed citations
7.
Chen, Song, et al.. (2011). [Effectiveness of Ganoderma lucidum preparation in treating simian acquired immune deficiency syndrome].. PubMed. 33(3). 318–24. 1 indexed citations
8.
Fan, Yunpeng, Deyun Wang, Yuanliang Hu, et al.. (2011). Optimization on preparation condition of epimedium polysaccharide liposome and evaluation of its adjuvant activity. International Journal of Biological Macromolecules. 50(1). 207–213. 27 indexed citations
9.
Zhao, Xiaojuan, Yunpeng Fan, Deyun Wang, et al.. (2011). Immunological adjuvant efficacy of glycyrrhetinic acid liposome against Newcastle disease vaccine. Vaccine. 29(52). 9611–9617. 37 indexed citations
10.
Fan, Yunpeng, Deyun Wang, Yuanliang Hu, et al.. (2011). Liposome and epimedium polysaccharide-propolis flavone can synergistically enhance immune effect of vaccine. International Journal of Biological Macromolecules. 50(1). 125–130. 24 indexed citations
11.
Fan, Yunpeng, Yuanliang Hu, Deyun Wang, et al.. (2011). Effects of Astragalus polysaccharide liposome on lymphocyte proliferation in vitro and adjuvanticity in vivo. Carbohydrate Polymers. 88(1). 68–74. 55 indexed citations
12.
Yuan, Ju, Baozeng Xu, Shu‐Tao Qi, et al.. (2010). MAPK-Activated Protein Kinase 2 Is Required for Mouse Meiotic Spindle Assembly and Kinetochore-Microtubule Attachment. PLoS ONE. 5(6). e11247–e11247. 17 indexed citations
13.
Liang, Wei, Xingwei Liang, Qing-Hua Zhang, et al.. (2010). BubR1 is a spindle assembly checkpoint protein regulating meiotic cell cycle progression of mouse oocyte. Cell Cycle. 9(6). 1112–1121. 96 indexed citations
14.
Yan, Liying, Xintian Zhang, Ju Yuan, et al.. (2010). ER-α36, a Variant of ER-α, Promotes Tamoxifen Agonist Action in Endometrial Cancer Cells via the MAPK/ERK and PI3K/Akt Pathways. PLoS ONE. 5(2). e9013–e9013. 108 indexed citations
15.
Li, Sen, Xiang‐Hong Ou, Zhen‐Bo Wang, et al.. (2010). ERK3 Is Required for Metaphase-Anaphase Transition in Mouse Oocyte Meiosis. PLoS ONE. 5(9). e13074–e13074. 18 indexed citations
16.
Ludwig, Alexander, et al.. (2009). Calsyntenins Mediate TGN Exit of APP in a Kinesin‐1‐Dependent Manner. Traffic. 10(5). 572–589. 47 indexed citations
17.
Li, Mo, Sen Li, Ju Yuan, et al.. (2009). Bub3 Is a Spindle Assembly Checkpoint Protein Regulating Chromosome Segregation during Mouse Oocyte Meiosis. PLoS ONE. 4(11). e7701–e7701. 101 indexed citations
18.
Yuan, Ju, Mo Li, Wei Liang, et al.. (2009). Astrin regulates meiotic spindle organization, spindle pole tethering and cell cycle progression in mouse oocytes. Cell Cycle. 8(20). 3384–3395. 29 indexed citations
19.
Yin, Shen, Jun‐Shu Ai, Lihong Shi, et al.. (2008). Shugoshin1 May Play Important Roles in Separation of Homologous Chromosomes and Sister Chromatids during Mouse Oocyte Meiosis. PLoS ONE. 3(10). e3516–e3516. 21 indexed citations
20.
Lu, Wei, et al.. (1995). Glucocorticoids rescue CD4+ T lymphocytes from activation-induced apoptosis triggered by HIV-1. AIDS. 9(1). 35–42. 39 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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