Mingzhu Yin

10.1k total citations · 3 hit papers
140 papers, 6.1k citations indexed

About

Mingzhu Yin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mingzhu Yin has authored 140 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 35 papers in Oncology and 34 papers in Immunology. Recurrent topics in Mingzhu Yin's work include Protein Degradation and Inhibitors (13 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Mingzhu Yin is often cited by papers focused on Protein Degradation and Inhibitors (13 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Mingzhu Yin collaborates with scholars based in China, United States and Canada. Mingzhu Yin's co-authors include Xiang Chen, Dongsheng Cao, Aiping Lü, Tingjun Hou, Zhijiang Yang, Li Fu, Chengkun Wu, Guo‐Li Xiong, Jiacai Yi and Zhenhua Wu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mingzhu Yin

128 papers receiving 6.0k citations

Hit Papers

ADMETlab 2.0: an integrat... 2020 2026 2022 2024 2021 2020 2024 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingzhu Yin China 34 3.0k 927 854 801 711 140 6.1k
Jian Wang China 44 4.5k 1.5× 1.3k 1.4× 423 0.5× 581 0.7× 588 0.8× 387 8.6k
C. George Priya Doss India 41 3.8k 1.2× 462 0.5× 382 0.4× 916 1.1× 347 0.5× 331 6.7k
Sai‐Juan Chen China 54 7.0k 2.3× 1.4k 1.5× 1.4k 1.6× 1.1k 1.3× 380 0.5× 234 10.4k
Sanjay Kumar United States 25 3.5k 1.2× 1.2k 1.2× 1.0k 1.2× 700 0.9× 342 0.5× 87 6.3k
Cheng Lü China 48 4.7k 1.6× 772 0.8× 987 1.2× 1.2k 1.5× 201 0.3× 267 8.6k
Liang Liu Macao 47 3.6k 1.2× 677 0.7× 613 0.7× 439 0.5× 207 0.3× 210 7.0k
Yan Li China 46 3.7k 1.2× 1.4k 1.6× 568 0.7× 1.3k 1.6× 208 0.3× 379 7.9k
W.S. Fred Wong Singapore 43 2.6k 0.9× 582 0.6× 1.6k 1.8× 478 0.6× 204 0.3× 160 6.6k
Elaine Lai‐Han Leung Macao 40 2.6k 0.9× 1.1k 1.2× 531 0.6× 748 0.9× 252 0.4× 143 4.7k
Liang Cao China 44 4.0k 1.3× 2.1k 2.3× 748 0.9× 954 1.2× 142 0.2× 241 8.0k

Countries citing papers authored by Mingzhu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhu Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Mingzhu Yin. A scholar is included among the top collaborators of Mingzhu 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 Mingzhu Yin. Mingzhu Yin 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.
Zhao, Shuang, Shiyao Pei, Teng Liu, et al.. (2025). The Dynamically Evolving Cell States and Ecosystem from Benign Nevi to Melanoma. Clinical Cancer Research. 31(12). 2478–2494.
2.
Xu, Pan, Teng Liu, Min Zhang, et al.. (2024). Tumour vasculature at single-cell resolution. Nature. 632(8024). 429–436. 63 indexed citations breakdown →
3.
Liu, Teng, et al.. (2024). Assembling spatial clustering framework for heterogeneous spatial transcriptomics data with GRAPHDeep. Bioinformatics. 40(1). 1 indexed citations
4.
Yin, Mingzhu, et al.. (2024). Identification of two molecularly and prognostically distinct subtypes in acral melanoma using network prediction method. Journal of the European Academy of Dermatology and Venereology. 39(7). 1254–1266. 2 indexed citations
5.
Zhang, Cong, Xiaowei Yao, Mingzhu Yin, et al.. (2023). A triple-target reverse transcription loop-mediated isothermal amplification (RT-LAMP) for rapid and accurate detection of SARS-CoV-2 virus. Analytica Chimica Acta. 1255. 341146–341146. 6 indexed citations
6.
Liu, Teng, et al.. (2023). stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics. Briefings in Bioinformatics. 25(1). 11 indexed citations
8.
Huang, Lingjuan, Xianggui Wang, Shiyao Pei, et al.. (2023). Single-Cell Profiling Reveals Sustained Immune Infiltration, Surveillance, and Tumor Heterogeneity in Infiltrative Basal Cell Carcinoma. Journal of Investigative Dermatology. 143(11). 2283–2294.e17. 7 indexed citations
9.
Zhang, Xu, Yeye Guo, Ta Xiao, et al.. (2022). CD147 mediates epidermal malignant transformation through the RSK2/AP-1 pathway. Journal of Experimental & Clinical Cancer Research. 41(1). 246–246. 13 indexed citations
10.
Huang, Kai, Zixi Jiang, Yixin Li, et al.. (2021). The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence. Journal of Medical Internet Research. 23(9). e26025–e26025. 22 indexed citations
11.
Guo, Xiaohong, et al.. (2021). The locoregional adiponectin and its synergistic antitumor effect with HIF‐1α blockade in TSCC. Oral Diseases. 29(2). 515–527.
12.
Zeng, Furong, Yuzhao Huang, Ying Guo, et al.. (2020). Association of inflammatory markers with the severity of COVID-19: A meta-analysis. International Journal of Infectious Diseases. 96. 467–474. 429 indexed citations breakdown →
13.
Guo, Yeye, Minxue Shen, Xu Zhang, et al.. (2020). Association of Socioeconomic Changes due to the COVID-19 Pandemic With Health Outcomes in Patients With Skin Diseases: Cross-Sectional Survey Study. Journal of Medical Internet Research. 22(9). e22288–e22288. 15 indexed citations
14.
Li, Lanya, Xisha Chen, Kuan-Song Wang, et al.. (2020). RSK2 protects human breast cancer cells under endoplasmic reticulum stress through activating AMPKα2-mediated autophagy. Oncogene. 39(43). 6704–6718. 18 indexed citations
15.
Yin, Mingzhu, Ying Guo, Rui Hu, et al.. (2020). Potent BRD4 inhibitor suppresses cancer cell-macrophage interaction. Nature Communications. 11(1). 1833–1833. 115 indexed citations
16.
Yin, Mingzhu, Huanjiao Jenny Zhou, Caixia Lin, et al.. (2019). CD34+KLF4+ Stromal Stem Cells Contribute to Endometrial Regeneration and Repair. Cell Reports. 27(9). 2709–2724.e3. 57 indexed citations
17.
Long, Lingli, Mingzhu Yin, & Min Wang. (2018). 3D Co-culture System of Tumor-associated Macrophages and Ovarian Cancer Cells. BIO-PROTOCOL. 8(8). 18 indexed citations
18.
Ji, Weidong, Yonghao Li, Yun He, et al.. (2015). AIP1 Expression in Tumor Niche Suppresses Tumor Progression and Metastasis. Cancer Research. 75(17). 3492–3504. 13 indexed citations
19.
Liu, Jia, et al.. (2012). Betulin induces apoptosis of HeLa cell lines in vitro and its possible mechanism. Tumori. 32(4). 234–238. 7 indexed citations
20.
Meng, Fanling, Yuanlong Hu, Mingzhu Yin, et al.. (2010). Overexpression of LAPTM4B-35 in Cervical Carcinoma. International Journal of Gynecological Pathology. 29(6). 587–593. 24 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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