Meichen Yin

439 total citations
12 papers, 309 citations indexed

About

Meichen Yin is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Meichen Yin has authored 12 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Meichen Yin's work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Meichen Yin is often cited by papers focused on Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Meichen Yin collaborates with scholars based in China. Meichen Yin's co-authors include Fei Jing, Jianwei Zhou, Jiayu Shen, Wuling Zhu, Yixiao Shen, Haiyan Sun, Lingtong Zhi, Huiyong Zhang, Changjiang Guo and Zhiyuan Niu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and The Journal of Pathology.

In The Last Decade

Meichen Yin

12 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meichen Yin China 8 131 123 109 34 33 12 309
Christopher Mintoff Australia 6 143 1.1× 256 2.1× 150 1.4× 48 1.4× 66 2.0× 6 431
Yira Bermudez United States 10 36 0.3× 56 0.5× 182 1.7× 20 0.6× 39 1.2× 14 370
Oana Baldasici Romania 6 131 1.0× 137 1.1× 206 1.9× 55 1.6× 100 3.0× 11 443
H. Choi South Korea 7 89 0.7× 112 0.9× 174 1.6× 16 0.5× 77 2.3× 11 334
Soon-Do Cha South Korea 11 36 0.3× 85 0.7× 162 1.5× 10 0.3× 56 1.7× 15 345
Yiming Fu China 11 33 0.3× 65 0.5× 138 1.3× 26 0.8× 37 1.1× 34 338
Patrik Kovács Hungary 8 23 0.2× 192 1.6× 314 2.9× 40 1.2× 73 2.2× 14 489
Fenfen Xiang China 12 49 0.4× 42 0.3× 219 2.0× 23 0.7× 100 3.0× 31 392

Countries citing papers authored by Meichen Yin

Since Specialization
Citations

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

Fields of papers citing papers by Meichen Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meichen Yin

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

All Works

12 of 12 papers shown
1.
Zhi, Lingtong, Meichen Yin, Xin Su, et al.. (2022). A chimeric switch-receptor PD1-DAP10-41BB augments NK92-cell activation and killing for human lung Cancer H1299 Cell. Biochemical and Biophysical Research Communications. 600. 94–100. 3 indexed citations
2.
Yin, Meichen, et al.. (2021). Two cases of angular pregnancy with incomplete abortion treated with hysteroscopy: a case report and review of literature. BMC Surgery. 21(1). 76–76. 2 indexed citations
3.
Zhi, Lingtong, Xin Su, Meichen Yin, et al.. (2021). Genetical engineering for NK and T cell immunotherapy with CRISPR/Cas9 technology: Implications and challenges. Cellular Immunology. 369. 104436–104436. 8 indexed citations
4.
Niu, Zhiyuan, et al.. (2020). Explore the activation efficiency of different ligand carriers on synNotch-based contact-dependent activation system. Turkish Journal of Biochemistry. 45(6). 817–823. 2 indexed citations
5.
Shen, Jiayu, et al.. (2020). <p>KNDC1 Is a Predictive Marker of Malignant Transformation in Borderline Ovarian Tumors</p>. OncoTargets and Therapy. Volume 13. 709–718. 4 indexed citations
6.
Niu, Zhiyuan, Wei Chun Chang, Huiyong Zhang, et al.. (2020). Chimeric antigen receptor‐modified macrophages trigger systemic anti‐tumour immunity. The Journal of Pathology. 253(3). 247–257. 85 indexed citations
7.
Li, Mingfeng, et al.. (2020). A novel bispecific chimeric PD1-DAP10/NKG2D receptor augments NK92-cell therapy efficacy for human gastric cancer SGC-7901 cell. Biochemical and Biophysical Research Communications. 523(3). 745–752. 19 indexed citations
8.
Lu, Hongzhao, Meichen Yin, Xuan Wang, et al.. (2020). FGF13 interaction with SHCBP1 activates AKT-GSK3α/β signaling and promotes the proliferation of A549 cells. Cancer Biology & Therapy. 21(11). 1014–1024. 20 indexed citations
10.
Shen, Jiayu, et al.. (2019). Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis. Journal of Ovarian Research. 12(1). 110–110. 30 indexed citations
11.
Yin, Meichen, Jiayu Shen, Fei Jing, et al.. (2019). <p>Tumor-Associated Macrophages (TAMs): A Critical Activator In Ovarian Cancer Metastasis</p>. OncoTargets and Therapy. Volume 12. 8687–8699. 68 indexed citations
12.
Zhang, Tao, et al.. (2018). Specific expression pattern of IMP metabolism related-genes in chicken muscle between cage and free range conditions. PLoS ONE. 13(8). e0201736–e0201736. 20 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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