Meijia Yang

818 total citations
11 papers, 561 citations indexed

About

Meijia Yang is a scholar working on Molecular Biology, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Meijia Yang has authored 11 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Meijia Yang's work include CAR-T cell therapy research (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Nanowire Synthesis and Applications (3 papers). Meijia Yang is often cited by papers focused on CAR-T cell therapy research (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Nanowire Synthesis and Applications (3 papers). Meijia Yang collaborates with scholars based in China and United States. Meijia Yang's co-authors include Gang Guo, Liangxue Zhou, Aiping Tong, Zongliang Zhang, Xin Tang, Shasha Zhao, Yuelong Wang, Caiying Jiang, Jianguo Xu and Kunhong Zhong and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and International Journal of Pharmaceutics.

In The Last Decade

Meijia Yang

10 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meijia Yang China 8 350 191 145 122 77 11 561
Ruihao Huang China 10 356 1.0× 199 1.0× 171 1.2× 128 1.0× 104 1.4× 29 546
Mahboubeh Yazdanifar United States 17 624 1.8× 448 2.3× 307 2.1× 168 1.4× 115 1.5× 29 988
Meena Kadapakkam United States 6 530 1.5× 190 1.0× 274 1.9× 260 2.1× 136 1.8× 7 847
Marc Wehrli United States 12 363 1.0× 399 2.1× 360 2.5× 109 0.9× 100 1.3× 24 830
Nicole Berndt Germany 17 461 1.3× 367 1.9× 275 1.9× 204 1.7× 89 1.2× 34 798
Anna Kozłowska Poland 17 499 1.4× 555 2.9× 287 2.0× 60 0.5× 66 0.9× 34 970
Changlin Yang United States 13 263 0.8× 295 1.5× 229 1.6× 95 0.8× 33 0.4× 46 660
Sarah Nietzer Germany 11 344 1.0× 115 0.6× 162 1.1× 213 1.7× 50 0.6× 20 604
John Mac United States 7 384 1.1× 192 1.0× 293 2.0× 175 1.4× 91 1.2× 9 641
Johanna Kühnemundt Germany 5 302 0.9× 132 0.7× 135 0.9× 124 1.0× 57 0.7× 5 427

Countries citing papers authored by Meijia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meijia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meijia Yang

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

All Works

11 of 11 papers shown
1.
Yang, Meijia, Bei Zhang, Jie Zhao, et al.. (2024). PCDH11X mutation as a potential biomarker for immune checkpoint therapies in lung adenocarcinoma. Journal of Molecular Medicine. 102(7). 899–912.
2.
Yang, Meijia, et al.. (2024). Night shift work and myocardial infarction in the UK Biobank. Occupational Medicine. 74(6). 409–416. 2 indexed citations
3.
Zhang, Zongliang, Caiying Jiang, Xiaogang Li, et al.. (2020). B7-H3-Targeted CAR-T Cells Exhibit Potent Antitumor Effects on Hematologic and Solid Tumors. Molecular Therapy — Oncolytics. 17. 180–189. 100 indexed citations
4.
Li, Changcheng, Meijia Yang, Jing Yang, et al.. (2020). Structural and biochemical analysis of 1-Cys peroxiredoxin ScPrx1 from Saccharomyces cerevisiae mitochondria. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(12). 129706–129706. 2 indexed citations
5.
Yang, Meijia, Xin Tang, Zongliang Zhang, et al.. (2020). Tandem CAR-T cells targeting CD70 and B7-H3 exhibit potent preclinical activity against multiple solid tumors. Theranostics. 10(17). 7622–7634. 141 indexed citations
6.
Tang, Xin, Shasha Zhao, Yang Zhang, et al.. (2019). B7-H3 as a Novel CAR-T Therapeutic Target for Glioblastoma. Molecular Therapy — Oncolytics. 14. 279–287. 155 indexed citations
7.
Li, Changcheng, Meijia Yang, Li Liu, et al.. (2018). Mechanistic insights into the allosteric regulation of Pseudomonas aeruginosa aspartate kinase. Biochemical Journal. 475(6). 1107–1119. 12 indexed citations
8.
Yang, Meijia, Wei Heng, Yuelong Wang, et al.. (2017). Targeted Disruption of V600E-Mutant BRAF Gene by CRISPR-Cpf1. Molecular Therapy — Nucleic Acids. 8. 450–458. 24 indexed citations
9.
Tang, Mei, Lu Han, Jiaojiao Deng, et al.. (2017). Whole-genome sequencing identifies new genetic alterations in meningiomas. Oncotarget. 8(10). 17070–17080. 15 indexed citations
10.
Li, Xiaoling, Rangrang Fan, Meijia Yang, et al.. (2015). In situ gel-forming AP-57 peptide delivery system for cutaneous wound healing. International Journal of Pharmaceutics. 495(1). 560–571. 78 indexed citations
11.
Yang, Meijia, Mei Tang, Xianjun Ma, et al.. (2015). AP-57/C10orf99 is a new type of mutifunctional antimicrobial peptide. Biochemical and Biophysical Research Communications. 457(3). 347–352. 32 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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