JS Yang

682 total citations
15 papers, 579 citations indexed

About

JS Yang is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, JS Yang has authored 15 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Organic Chemistry. Recurrent topics in JS Yang's work include Platelet Disorders and Treatments (2 papers), Advanced Synthetic Organic Chemistry (2 papers) and Plant-based Medicinal Research (2 papers). JS Yang is often cited by papers focused on Platelet Disorders and Treatments (2 papers), Advanced Synthetic Organic Chemistry (2 papers) and Plant-based Medicinal Research (2 papers). JS Yang collaborates with scholars based in China, United States and Mexico. JS Yang's co-authors include Zixuan Wang, Wei De, Ruirui Wang, Xuan Pan, Ran Xia, Erbao Zhang, Ming Sun, Lijuan Xu, Renyi Kong and Xiang-hua Liu and has published in prestigious journals such as Blood, Oncogene and Marine Ecology Progress Series.

In The Last Decade

JS Yang

15 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
JS Yang China 8 432 407 48 34 33 15 579
Zhonghua Du China 10 553 1.3× 367 0.9× 21 0.4× 30 0.9× 48 1.5× 29 647
Xiaobai Liu China 15 863 2.0× 742 1.8× 35 0.7× 25 0.7× 36 1.1× 24 948
Alexandros Nicolaou Germany 4 832 1.9× 726 1.8× 21 0.4× 18 0.5× 73 2.2× 4 929
Shijun Yu China 11 222 0.5× 122 0.3× 36 0.8× 20 0.6× 22 0.7× 20 284
Yun Gu China 11 284 0.7× 227 0.6× 36 0.8× 43 1.3× 45 1.4× 22 384
Jay Oza United States 9 488 1.1× 195 0.5× 89 1.9× 18 0.5× 30 0.9× 14 596
Josianne Payette Canada 5 332 0.8× 244 0.6× 39 0.8× 28 0.8× 30 0.9× 5 448
Yuxi Tian China 12 228 0.5× 134 0.3× 57 1.2× 62 1.8× 42 1.3× 26 362

Countries citing papers authored by JS Yang

Since Specialization
Citations

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

Fields of papers citing papers by JS Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JS Yang

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

All Works

15 of 15 papers shown
1.
Yang, JS, et al.. (2019). Effect of NT-3 on infection-induced memory impairment of neonatal rats.. PubMed. 23(5). 2182–2187. 7 indexed citations
2.
3.
Yang, JS, et al.. (2015). Bacterial communities and their hydrocarbon bioremediation potential in the Bohai Sea, China. Marine Ecology Progress Series. 538. 117–130. 3 indexed citations
4.
Sun, Ming, Xiang-hua Liu, Ran Xia, et al.. (2014). EZH2-mediated epigenetic suppression of long noncoding RNA SPRY4-IT1 promote s NSCLC cell proliferation and metastasis by affecting the epithelial–mesenchymal transition. Cell Death and Disease. 5(6). e1298–e1298. 212 indexed citations
5.
Yang, JS, et al.. (2014). Meta-analysis of CT-guided transthoracic needle biopsy for the evaluation of the ground-glass opacity pulmonary lesions. British Journal of Radiology. 87(1042). 20140276–20140276. 23 indexed citations
6.
Wang, Ruirui, et al.. (2011). MicroRNA-451 functions as a tumor suppressor in human non-small cell lung cancer by targeting ras-related protein 14 (RAB14). Oncogene. 30(23). 2644–2658. 257 indexed citations
7.
‍Kim, Do Young, et al.. (2006). Development of a Direct Shear Apparatus with Rock Joints and Its Verification Tests. Geotechnical Testing Journal. 29(5). 365–373. 16 indexed citations
8.
Sun, Min, et al.. (2005). Akaz greenschist, West Kunlun: Within-plate basalt contaminated by continental crust origin of the Akaz greenschist (metabasalt), West Kunlun: Accreted seamount or continental rift basalt?. Acta Petrologica Sinica. 3 indexed citations
9.
Jin, Jing, et al.. (2004). Psycho-Physiological Evaluation of Driver Safety Reliability. Zhongguo gonglu xuebao. 17(4). 96. 2 indexed citations
10.
Chen, Jianjun, et al.. (2000). Structure of 6-epiforsticine and revision of the stereochemistry of forsticine. 11(11). 1 indexed citations
11.
Yang, JS, et al.. (1999). Modifications of norditerpenoid alkaloids: I. N-deethylation reactions. 10(5). 1 indexed citations
12.
13.
Zucker‐Franklin, Dorothea, JS Yang, & G Grusky. (1992). Characterization of glycoprotein IIb/IIIa-positive cells in human umbilical cord blood: their potential usefulness as megakaryocyte progenitors. Blood. 79(2). 347–355. 18 indexed citations
14.
Zucker‐Franklin, Dorothea, JS Yang, & G Grusky. (1992). Characterization of glycoprotein IIb/IIIa-positive cells in human umbilical cord blood: their potential usefulness as megakaryocyte progenitors. Blood. 79(2). 347–355. 1 indexed citations
15.
Yang, JS, et al.. (1991). The clinical diagnosis of splenomegaly.. PubMed. 155(1). 47–52. 15 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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