Zhixing Yao

2.5k total citations
30 papers, 2.1k citations indexed

About

Zhixing Yao is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Zhixing Yao has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Genetics. Recurrent topics in Zhixing Yao's work include Alzheimer's disease research and treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Zhixing Yao is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Epigenetics and DNA Methylation (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Zhixing Yao collaborates with scholars based in United States, France and Canada. Zhixing Yao's co-authors include Vassilios Papadopoulos, Katy Drieu, Stéphane Bastianetto, Rémi Quirion, Martine Culty, Hua Li, Zeqiu Han, Christoforos Giatzakis, Jean‐Claude Robert and Lopa Mishra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Zhixing Yao

30 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhixing Yao United States 18 996 499 280 249 221 30 2.1k
Ilona I. Concha Chile 31 1.2k 1.2× 437 0.9× 319 1.1× 175 0.7× 176 0.8× 70 2.8k
Hiroaki Okuda Japan 27 1.1k 1.1× 414 0.8× 409 1.5× 228 0.9× 177 0.8× 113 2.8k
Wensheng Zhang China 27 1.8k 1.8× 510 1.0× 159 0.6× 84 0.3× 99 0.4× 56 2.7k
Wenhua Zheng Macao 20 1.0k 1.0× 571 1.1× 325 1.2× 112 0.4× 76 0.3× 38 1.9k
Oh‐Shin Kwon South Korea 28 1.3k 1.3× 272 0.5× 492 1.8× 178 0.7× 95 0.4× 114 2.4k
Sean M. Armour United States 14 2.1k 2.1× 910 1.8× 241 0.9× 213 0.9× 351 1.6× 18 4.2k
Marlene Jiménez-Del-Río Colombia 26 739 0.7× 454 0.9× 404 1.4× 93 0.4× 148 0.7× 108 2.1k
Ron J. Bouchard United States 24 1.1k 1.1× 263 0.5× 318 1.1× 113 0.5× 139 0.6× 37 1.9k
Yasuko Kitagishi Japan 23 1.0k 1.0× 299 0.6× 188 0.7× 103 0.4× 98 0.4× 55 1.9k
Duan‐Fang Liao China 32 1.6k 1.6× 321 0.6× 159 0.6× 218 0.9× 730 3.3× 106 3.1k

Countries citing papers authored by Zhixing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zhixing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixing Yao. A scholar is included among the top collaborators of Zhixing Yao 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 Zhixing Yao. Zhixing Yao 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.
Yao, Zhixing & W. Vaughn McCall. (2023). Designing Clinical Trials to Assess the Impact of Pharmacological Treatment for Suicidal Ideation/Behavior: Issues and Potential Solutions. Pharmaceutical Medicine. 37(3). 221–232. 7 indexed citations
2.
Chen, Jian, Abhisek Mitra, Shulin Li, et al.. (2020). Targeting the E3 Ubiquitin Ligase PJA1 Enhances Tumor-Suppressing TGFβ Signaling. Cancer Research. 80(9). 1819–1832. 20 indexed citations
3.
Yao, Zhixing, et al.. (2019). DNA Methylation Activates TP73 Expression in Hepatocellular Carcinoma and Gastrointestinal Cancer. Scientific Reports. 9(1). 19367–19367. 13 indexed citations
4.
Lin, Ling, Zhixing Yao, Krithika Bhuvaneshwar, et al.. (2014). Transcriptional regulation of STAT3 by SPTBN1 and SMAD3 in HCC through cAMP-response element-binding proteins ATF3 and CREB2. Carcinogenesis. 35(11). 2393–2403. 29 indexed citations
5.
Lecanu, Laurent, Zhixing Yao, Althea McCourty, et al.. (2012). Control of hypercholesterolemia and atherosclerosis using the cholesterol recognition/interaction amino acid sequence of the translocator protein TSPO. Steroids. 78(2). 137–146. 17 indexed citations
6.
Yao, Zhixing & Lopa Mishra. (2009). Cancer stem cells and hepatocellular carcinoma. Cancer Biology & Therapy. 8(18). 1691–1698. 64 indexed citations
7.
Pishvaian, Michael J., Geeta Upadhyay, Zhixing Yao, et al.. (2008). CDK4 is an important target for hepatocellular cancer with inactivation of TGF-beta signaling through Smad and ELF. Cancer Research. 68. 2583–2583. 2 indexed citations
8.
Yao, Zhixing, Young Woo Kim, Rupen Amin, et al.. (2008). Telomerase reverse transcriptase regulation by TGF-β signaling through adaptor ELF and Smad3 that is independent of c-Myc.. Cancer Research. 68. 3442–3442. 1 indexed citations
9.
Yao, Zhixing, et al.. (2007). 22R-Hydroxycholesterol induces differentiation of human NT2 precursor (Ntera2/D1 teratocarcinoma) cells. Neuroscience. 148(2). 441–453. 14 indexed citations
10.
Bastianetto, Stéphane, Zhixing Yao, Vassilios Papadopoulos, & Rémi Quirion. (2005). Neuroprotective effects of green and black teas and their catechin gallate esters against β‐amyloid‐induced toxicity. European Journal of Neuroscience. 23(1). 55–64. 240 indexed citations
11.
12.
Jamin, Nadège, Jean‐Michel Neumann, Mariano A. Ostuni, et al.. (2004). Characterization of the Cholesterol Recognition Amino Acid Consensus Sequence of the Peripheral-Type Benzodiazepine Receptor. Molecular Endocrinology. 19(3). 588–594. 198 indexed citations
13.
Hauet, Thierry, Zhixing Yao, Himangshu S. Bose, et al.. (2004). Peripheral-Type Benzodiazepine Receptor-Mediated Action of Steroidogenic Acute Regulatory Protein on Cholesterol Entry into Leydig Cell Mitochondria. Molecular Endocrinology. 19(2). 540–554. 194 indexed citations
14.
Yao, Zhixing, Zeqiu Han, Katy Drieu, & Vassilios Papadopoulos. (2004). Ginkgo biloba extract (Egb 761) inhibits β-amyloid production by lowering free cholesterol levels. The Journal of Nutritional Biochemistry. 15(12). 749–756. 84 indexed citations
15.
Lecanu, Laurent, et al.. (2003). Identification of naturally occurring spirostenols preventing β-amyloid-induced neurotoxicity. Steroids. 69(1). 1–16. 45 indexed citations
16.
Yao, Zhixing, et al.. (2002). 22R‐Hydroxycholesterol protects neuronal cells from β‐amyloid‐induced cytotoxicity by binding to β‐amyloid peptide. Journal of Neurochemistry. 83(5). 1110–1119. 39 indexed citations
17.
Culty, Martine, Lindi Luo, Zhixing Yao, et al.. (2002). Cholesterol Transport, Peripheral Benzodiazepine Receptor, and Steroidogenesis in Aging Leydig Cells. Journal of Andrology. 23(3). 439–447. 87 indexed citations
18.
19.
Yao, Zhixing, Katy Drieu, & Vassilios Papadopoulos. (2001). The Ginkgo biloba extract EGb 761 rescues the PC12 neuronal cells from β-amyloid-induced cell death by inhibiting the formation of β-amyloid-derived diffusible neurotoxic ligands. Brain Research. 889(1-2). 181–190. 141 indexed citations
20.

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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