Jing Zhou

10.3k total citations · 2 hit papers
86 papers, 7.7k citations indexed

About

Jing Zhou is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jing Zhou has authored 86 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 58 papers in Molecular Biology and 29 papers in Pathology and Forensic Medicine. Recurrent topics in Jing Zhou's work include Genetic and Kidney Cyst Diseases (73 papers), Renal and related cancers (44 papers) and Biomedical Research and Pathophysiology (29 papers). Jing Zhou is often cited by papers focused on Genetic and Kidney Cyst Diseases (73 papers), Renal and related cancers (44 papers) and Biomedical Research and Pathophysiology (29 papers). Jing Zhou collaborates with scholars based in United States, Canada and China. Jing Zhou's co-authors include Surya M. Nauli, Ying Luo, Xiaogang Li, Donald E. Ingber, Peter Vassilev, Lu W, Edward M. Brown, Francis J. Alenghat, Stephen Quinn and Eric O. Williams and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Jing Zhou

85 papers receiving 7.6k citations

Hit Papers

Polycystins 1 and 2 media... 2003 2026 2010 2018 2003 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Zhou United States 39 5.4k 5.3k 1.7k 1.0k 598 86 7.7k
Gregory G. Germino United States 55 7.3k 1.4× 8.4k 1.6× 2.5k 1.5× 798 0.8× 728 1.2× 127 10.2k
Terry Watnick United States 41 3.5k 0.7× 4.2k 0.8× 1.1k 0.7× 374 0.4× 594 1.0× 78 5.3k
Edgar A. Otto United States 42 4.8k 0.9× 3.5k 0.7× 796 0.5× 514 0.5× 634 1.1× 106 6.3k
Alessandra Boletta Italy 33 3.2k 0.6× 3.4k 0.7× 1.2k 0.7× 531 0.5× 311 0.5× 73 4.5k
Carsten Bergmann Germany 38 3.4k 0.6× 3.5k 0.7× 617 0.4× 363 0.4× 313 0.5× 168 5.2k
Philip L. Beales United Kingdom 51 6.9k 1.3× 7.5k 1.4× 633 0.4× 1.4k 1.4× 348 0.6× 101 9.5k
Toshihiko Fujimori Japan 39 3.8k 0.7× 2.1k 0.4× 503 0.3× 936 0.9× 385 0.6× 105 7.1k
Carla Rosenberg Brazil 38 2.8k 0.5× 2.3k 0.4× 736 0.4× 341 0.3× 699 1.2× 183 5.7k
Oxana Ibraghimov‐Beskrovnaya United States 29 3.7k 0.7× 2.0k 0.4× 624 0.4× 795 0.8× 221 0.4× 43 4.6k
Marco Seri Italy 38 2.3k 0.4× 1.4k 0.3× 279 0.2× 323 0.3× 345 0.6× 193 5.3k

Countries citing papers authored by Jing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Zhou. A scholar is included among the top collaborators of Jing Zhou 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 Jing Zhou. Jing Zhou 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.
Devassy, Jessay G., Tamio Yamaguchi, Md Monirujjaman, et al.. (2017). Distinct effects of dietary flax compared to fish oil, soy protein compared to casein, and sex on the renal oxylipin profile in models of polycystic kidney disease. Prostaglandins Leukotrienes and Essential Fatty Acids. 123. 1–13. 14 indexed citations
2.
El-Jouni, Wassim, Mei Tran, Wanfeng Yu, et al.. (2016). Gα12 is required for renal cystogenesis induced by Pkd1 inactivation. Journal of Cell Science. 129(19). 3675–3684. 17 indexed citations
3.
Antignac, Corinne, James P. Calvet, Gregory G. Germino, et al.. (2015). The Future of Polycystic Kidney Disease Research—As Seen By the 12 Kaplan Awardees. Journal of the American Society of Nephrology. 26(9). 2081–2095. 29 indexed citations
4.
Freedman, Benjamin, Craig R. Brooks, Albert Q. Lam, et al.. (2015). Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroids. Nature Communications. 6(1). 8715–8715. 567 indexed citations breakdown →
5.
Yao, Gang, Chong Luo, Michael A. Harvey, et al.. (2015). Disruption of polycystin-L causes hippocampal and thalamocortical hyperexcitability. Human Molecular Genetics. 25(3). 448–458. 23 indexed citations
6.
Zeng, Liling, Ming Bai, Amit Mittal, et al.. (2013). Candidate Tumor Suppressor and pVHL Partner Jade-1 Binds and Inhibits AKT in Renal Cell Carcinoma. Cancer Research. 73(17). 5371–5380. 17 indexed citations
7.
AbouAlaiwi, Wissam A., Brian S. Muntean, Shobha Ratnam, et al.. (2013). Survivin-Induced Abnormal Ploidy Contributes to Cystic Kidney and Aneurysm Formation. Circulation. 129(6). 660–672. 38 indexed citations
8.
Freedman, Benjamin, Albert Q. Lam, Jamie L. Sundsbak, et al.. (2013). Reduced Ciliary Polycystin-2 in Induced Pluripotent Stem Cells from Polycystic Kidney Disease Patients with PKD1 Mutations. Journal of the American Society of Nephrology. 24(10). 1571–1586. 90 indexed citations
9.
Yao, Gang, Annouck Luyten, Ayumi Takakura, Markus Plomann, & Jing Zhou. (2012). The cytoplasmic protein Pacsin 2 in kidney development and injury repair. Kidney International. 83(3). 426–437. 12 indexed citations
10.
Subramanian, Balajikarthick, et al.. (2010). Tissue-Engineered Three-Dimensional In Vitro Models for Normal and Diseased Kidney. Tissue Engineering Part A. 16(9). 2821–2831. 75 indexed citations
11.
Besschetnova, Tatiana Y., et al.. (2010). Identification of Signaling Pathways Regulating Primary Cilium Length and Flow-Mediated Adaptation. Current Biology. 20(2). 182–187. 248 indexed citations
12.
Yu, Wanfeng, et al.. (2010). Identification of polycystin-1 and Gα12 binding regions necessary for regulation of apoptosis. Cellular Signalling. 23(1). 213–221. 20 indexed citations
14.
Starremans, Patrick G., et al.. (2008). A mouse model for polycystic kidney disease through a somatic in-frame deletion in the 5′ end of Pkd1. Kidney International. 73(12). 1394–1405. 67 indexed citations
15.
Yu, Tian, Robert J. Kolb, Jeong‐Ho Hong, et al.. (2007). TAZ Promotes PC2 Degradation through a SCF β-Trcp E3 Ligase Complex. Molecular and Cellular Biology. 27(18). 6383–6395. 149 indexed citations
16.
Dandapani, Savita, Hikaru Sugimoto, Benjamin D. Matthews, et al.. (2006). α-Actinin-4 Is Required for Normal Podocyte Adhesion. Journal of Biological Chemistry. 282(1). 467–477. 104 indexed citations
17.
Sharma, Madhulika, et al.. (2005). Differential expression of Cux-1 and p21 in polycystic kidneys from Pkd1 null and cpk mice. Kidney International. 67(2). 432–442. 18 indexed citations
18.
Sun, Yanping, Jing Zhou, Cherie Stayner, et al.. (2002). Magnetic resonance imaging assessment of a murine model of recessive polycystic kidney disease.. PubMed. 52(5). 433–8. 13 indexed citations
19.
Basora, Nùria, Hideki Nomura, Urs V. Berger, et al.. (2002). Tissue and Cellular Localization of a Novel Polycystic Kidney Disease–Like Gene Product, Polycystin-L. Journal of the American Society of Nephrology. 13(2). 293–301. 30 indexed citations
20.
Vassilev, Peter, Lei Guo, Xing‐Zhen Chen, et al.. (2001). Polycystin-2 Is a Novel Cation Channel Implicated in Defective Intracellular Ca2+ Homeostasis in Polycystic Kidney Disease. Biochemical and Biophysical Research Communications. 282(1). 341–350. 190 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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