Jixing Ye

3.1k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Jixing Ye is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Jixing Ye has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Urology. Recurrent topics in Jixing Ye's work include Hair Growth and Disorders (2 papers), melanin and skin pigmentation (2 papers) and TGF-β signaling in diseases (2 papers). Jixing Ye is often cited by papers focused on Hair Growth and Disorders (2 papers), melanin and skin pigmentation (2 papers) and TGF-β signaling in diseases (2 papers). Jixing Ye collaborates with scholars based in China, United States and Saudi Arabia. Jixing Ye's co-authors include Zhengjian Yan, Zhongliang Wang, Sahitya K. Denduluri, Olumuyiwa Idowu, Rex C. Haydon, Youlin Deng, Lewis L. Shi, Michael J. Lee, Min Qiao and Richard W. Kang and has published in prestigious journals such as PLoS ONE, Biomaterials and Biochemical and Biophysical Research Communications.

In The Last Decade

Jixing Ye

16 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bone Morphogenetic Protein (BMP) signaling in development and human diseases

2014 734 citations Jordan J. Green, Zhongliang Wang et al. Genes & Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jixing Ye China	10	765	201	190	168	164	17	1.4k
Sahitya K. Denduluri United States	12	839 1.1×	272 1.4×	142 0.7×	208 1.2×	252 1.5×	24	1.5k
Zhengjian Yan China	16	1.1k 1.5×	328 1.6×	214 1.1×	240 1.4×	267 1.6×	44	2.1k
Anthony J. Mirando United States	22	913 1.2×	209 1.0×	335 1.8×	205 1.2×	175 1.1×	35	1.5k
Shek Man Chim Australia	18	756 1.0×	195 1.0×	191 1.0×	337 2.0×	152 0.9×	23	1.3k
Youlin Deng China	7	551 0.7×	123 0.6×	127 0.7×	90 0.5×	127 0.8×	12	940
Jennifer H. Jonason United States	23	803 1.0×	187 0.9×	439 2.3×	257 1.5×	250 1.5×	38	1.5k
Jae‐Sung Ryu South Korea	20	547 0.7×	103 0.5×	167 0.9×	101 0.6×	277 1.7×	50	1.2k
Hangang Chen China	13	896 1.2×	276 1.4×	392 2.1×	137 0.8×	145 0.9×	19	1.4k
Chunsheng Xu China	15	838 1.1×	282 1.4×	102 0.5×	226 1.3×	151 0.9×	27	1.5k

Countries citing papers authored by Jixing Ye

Since Specialization

Citations

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

Fields of papers citing papers by Jixing Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jixing Ye

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

All Works

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17 of 17 papers shown

Deng, Youlin, Jing Wang, Zhengjian Yan, et al.. (2023). Effect of antibiotic monensin on cell proliferation and IGF1R signaling pathway in human colorectal cancer cells. Annals of Medicine. 55(1). 954–964. 9 indexed citations

Wang, Yiyang, Haoming Wang, Jixing Ye, et al.. (2020). SIRT1 alleviates high-magnitude compression-induced senescence in nucleus pulposus cells via PINK1-dependent mitophagy. Aging. 12(16). 16126–16141. 44 indexed citations

Gan, Yibo, Bing Tu, Pei Li, et al.. (2018). Low Magnitude of Compression Enhances Biosynthesis of Mesenchymal Stem Cells towards Nucleus Pulposus Cells via the TRPV4-Dependent Pathway. Stem Cells International. 2018. 1–12. 19 indexed citations

Lyon, Sarah, Anoop Mayampurath, Dongzhe Song, et al.. (2018). Whole-Proteome Analysis of Human Craniosynostotic Tissue Suggests a Link between Inflammatory Signaling and Osteoclast Activation in Human Cranial Suture Patency. Plastic & Reconstructive Surgery. 141(2). 250e–260e. 6 indexed citations

Chen, Wenbai, et al.. (2018). Multi-robot Formation Control Based on Leader-follower Method. 233–240. 2 indexed citations

Chen, Wenbai, et al.. (2018). Implementation of Robot NAO on Sprint. 268–275. 2 indexed citations

Ye, Jixing, Minpeng Lu, Yunxiao Zhu, et al.. (2017). Repair of critical sized cranial defects with BMP9-transduced calvarial cells delivered in a thermoresponsive scaffold. PLoS ONE. 12(3). e0172327–e0172327. 31 indexed citations

Denduluri, Sahitya K., Joseph D. Lamplot, Liangjun Yin, et al.. (2016). Immortalized Mouse Achilles Tenocytes Demonstrate Long-Term Proliferative Capacity While Retaining Tenogenic Properties. Tissue Engineering Part C Methods. 22(3). 280–289. 6 indexed citations

Wei, Qiang, Jixing Ye, Sahitya K. Denduluri, et al.. (2015). Insider information: Testing cancer drug sensitivity for personalized therapy. Genes & Diseases. 2(3). 219–221. 1 indexed citations

10.

Yan, Zhengjian, Liangjun Yin, Jixing Ye, et al.. (2015). Multifaceted signaling regulators of chondrogenesis: Implications in cartilage regeneration and tissue engineering. Genes & Diseases. 2(4). 307–327. 80 indexed citations

11.

Yan, Zhengjian, Liangjun Yin, Zhongliang Wang, et al.. (2015). A Novel Organ Culture Model of Mouse Intervertebral Disc Tissues. Cells Tissues Organs. 201(1). 38–50. 15 indexed citations

12.

Zhang, Hongmei, Jinhua Wang, Fang Deng, et al.. (2014). Canonical Wnt signaling acts synergistically on BMP9-induced osteo/odontoblastic differentiation of stem cells of dental apical papilla (SCAPs). Biomaterials. 39. 145–154. 99 indexed citations

13.

Wang, Zhongliang, Jixing Ye, Youlin Deng, et al.. (2014). Wnt versus Hippo: A balanced act or dynamic duo?. Genes & Diseases. 1(2). 127–128. 6 indexed citations

14.

Green, Jordan J., Zhongliang Wang, Youlin Deng, et al.. (2014). Bone Morphogenetic Protein (BMP) signaling in development and human diseases. Genes & Diseases. 1(1). 87–105. 734 indexed citations breakdown →

15.

Denduluri, Sahitya K., Olumuyiwa Idowu, Zhongliang Wang, et al.. (2014). Insulin-like growth factor (IGF) signaling in tumorigenesis and the development of cancer drug resistance. Genes & Diseases. 2(1). 13–25. 242 indexed citations

16.

Ye, Jixing, Tian Yang, Haiying Guo, et al.. (2013). Wnt10b Promotes Differentiation of Mouse Hair Follicle Melanocytes. International Journal of Medical Sciences. 10(6). 691–698. 25 indexed citations

17.

Guo, Haiying, Ke Yang, Fang Deng, et al.. (2012). Wnt3a promotes melanin synthesis of mouse hair follicle melanocytes. Biochemical and Biophysical Research Communications. 420(4). 799–804. 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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