Jun Yao

1.3k total citations
28 papers, 904 citations indexed

About

Jun Yao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Jun Yao has authored 28 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Physiology. Recurrent topics in Jun Yao's work include Advanced Glycation End Products research (3 papers), Asthma and respiratory diseases (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Jun Yao is often cited by papers focused on Advanced Glycation End Products research (3 papers), Asthma and respiratory diseases (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Jun Yao collaborates with scholars based in China, Australia and United States. Jun Yao's co-authors include Jinhua Li, Xinli Qu, Sharon D. Ricardo, Hiroshi Yamamoto, Yasuhiko Yamamoto, Georgina Caruana, John F. Bertram, Magdalena Plebanski, Robyn E. O’Hehir and Jennifer M. Rolland and has published in prestigious journals such as Journal of Neuroscience, The Journal of Immunology and Diabetes.

In The Last Decade

Jun Yao

27 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yao China 14 426 175 141 116 110 28 904
Ye Zhao China 17 575 1.3× 300 1.7× 122 0.9× 148 1.3× 141 1.3× 33 1.3k
Eirini Kefaloyianni United States 15 500 1.2× 200 1.1× 68 0.5× 126 1.1× 108 1.0× 23 1.1k
Janet Beckmann Germany 9 347 0.8× 211 1.2× 57 0.4× 75 0.6× 61 0.6× 10 764
Rui Feng China 16 386 0.9× 196 1.1× 76 0.5× 56 0.5× 127 1.2× 39 807
Wen Qiu China 21 412 1.0× 423 2.4× 92 0.7× 202 1.7× 216 2.0× 64 1.2k
Chi Liu China 15 411 1.0× 163 0.9× 80 0.6× 162 1.4× 41 0.4× 39 834
Ning He China 15 634 1.5× 76 0.4× 145 1.0× 108 0.9× 115 1.0× 49 1.1k
Raghunatha R. Yammani United States 21 633 1.5× 171 1.0× 79 0.6× 60 0.5× 107 1.0× 35 1.3k
John F. Di Mari United States 13 371 0.9× 166 0.9× 84 0.6× 80 0.7× 242 2.2× 15 925
Carlos Tarín Spain 17 469 1.1× 176 1.0× 190 1.3× 43 0.4× 73 0.7× 17 1.2k

Countries citing papers authored by Jun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yao. A scholar is included among the top collaborators of Jun 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 Jun Yao. Jun 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, Jun, et al.. (2024). Baicalein inhibits NLRP3 inflammasome activation and mitigates placental inflammation and oxidative stress in gestational diabetes mellitus. Open Life Sciences. 19(1). 20220966–20220966. 2 indexed citations
2.
Huang, Can, et al.. (2024). Optimization of Financial Services Transaction Management Based on Blockchain Empowerment and Hierarchical Clustering. Asian Journal of Advanced Research and Reports. 18(8). 130–140.
3.
Yao, Jun, et al.. (2022). Epidemiological investigation and phylogenetic analysis of Classical Swine Fever virus in Yunnan province from 2015 to 2021. Journal of Veterinary Science. 23(4). e57–e57. 3 indexed citations
4.
Zhang, Jingxian, et al.. (2022). TRIM59 promotes steatosis and ferroptosis in non-alcoholic fatty liver disease via enhancing GPX4 ubiquitination. Human Cell. 36(1). 209–222. 38 indexed citations
5.
Yang, Wendong, et al.. (2022). Study on the influence of stress differences on hydraulic fracturing based on true triaxial experiments and discrete element numerical simulations. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 8(5). 8 indexed citations
7.
Zhang, Jingxian, et al.. (2020). ROS/NF-κB Signaling Pathway-Mediated Transcriptional Activation of TRIM37 Promotes HBV-Associated Hepatic Fibrosis. Molecular Therapy — Nucleic Acids. 22. 114–123. 27 indexed citations
8.
Yao, Jun, Min Xu, & Ziyao Liu. (2020). Rapamycin inhibits proliferation and apoptosis of retinoblastoma cells through PI3K/AKT signaling pathway. Oncology Letters. 19(4). 2950–2956. 11 indexed citations
9.
Ding, Yan, et al.. (2019). Medullary and papillary thyroid carcinomas in a patient with a C634Y mutation in the RET proto-oncogene: A case report. Indian Journal of Cancer. 56(2). 173–173. 1 indexed citations
10.
He, Yuan, Jun Yao, Chuying Huang, et al.. (2016). Angelicin inhibits human lung carcinoma A549 cell growth and migration through regulating JNK and ERK pathways. Oncology Reports. 36(6). 3504–3512. 28 indexed citations
11.
Yao, Jun, et al.. (2016). Chemotherapy Drug Response to the L858R‐induced Conformational Change of EGFR Activation Loop in Lung Cancer. Molecular Informatics. 35(10). 529–537. 10 indexed citations
12.
Yao, Jun, Xiaojuan Zhao, & Xi Ding. (2016). Systematic profiling of chemotherapeutic drug response to EGFR gatekeeper mutation in non-small cell lung cancer. Computational Biology and Chemistry. 64. 126–133. 8 indexed citations
13.
Yao, Jun, Otávia L. Caballero, W.K. Alfred Yung, et al.. (2013). Tumor Subtype-Specific Cancer–Testis Antigens as Potential Biomarkers and Immunotherapeutic Targets for Cancers. Cancer Immunology Research. 2(4). 371–379. 84 indexed citations
14.
Hardy, Charles L., Rohimah Mohamud, Jun Yao, et al.. (2013). Differential Uptake of Nanoparticles and Microparticles by Pulmonary APC Subsets Induces Discrete Immunological Imprints. The Journal of Immunology. 191(10). 5278–5290. 82 indexed citations
15.
Qu, Xinli, Xueming Zhang, Jun Yao, et al.. (2012). Resolvins E1 and D1 inhibit interstitial fibrosis in the obstructed kidney via inhibition of local fibroblast proliferation. The Journal of Pathology. 228(4). 506–519. 87 indexed citations
16.
Hardy, Charles L., Fredrik Olsson, Thanh Dang, et al.. (2009). Interleukin-13 Regulates Secretion of the Tumor Growth Factor–β Superfamily Cytokine Activin A in Allergic Airway Inflammation. American Journal of Respiratory Cell and Molecular Biology. 42(6). 667–675. 24 indexed citations
17.
Yao, Jun, Suzana Petanceska, Thomas J. Montine, et al.. (2004). Aging, gender and APOE isotype modulate metabolism of Alzheimer's Aβ peptides and F2‐isoprostanes in the absence of detectable amyloid deposits. Journal of Neurochemistry. 90(4). 1011–1018. 33 indexed citations
18.
Berger, David H., Xin‐Hua Feng, Jun Yao, et al.. (2002). Resistance to transforming growth factor–beta occurs in the presence of normal Smad activation. Surgery. 132(2). 310–316. 5 indexed citations
19.
Kong, Jian, et al.. (1996). Susceptibility of spontaneously hypertensive rats to the diabetogenic effects of streptozotocin. Canadian Journal of Physiology and Pharmacology. 74(11). 1215–1221. 6 indexed citations
20.
Kong, Jian, et al.. (1996). Susceptibility of spontaneously hypertensive rats to the diabetogenic effects of streptozotocin.. PubMed. 74(11). 1215–21. 10 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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