Mingzhen Yang

43 total papers · 544 total citations
27 papers, 312 citations indexed

About

Mingzhen Yang is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Mingzhen Yang has authored 27 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Mingzhen Yang's work include Autophagy in Disease and Therapy (7 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer-related molecular mechanisms research (3 papers). Mingzhen Yang is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer-related molecular mechanisms research (3 papers). Mingzhen Yang collaborates with scholars based in China, United States and Canada. Mingzhen Yang's co-authors include Qingshu Zeng, Ruixiang Xia, Conglei Li, Lili Tao, Mingli Wang, Dianne E. van der Wal, Pingguo Chen, Lingyan Zhu, Jing Bao and Christopher M. Spring and has published in prestigious journals such as PLoS ONE, Science Advances and Cell Death and Differentiation.

In The Last Decade

Mingzhen Yang

27 papers receiving 310 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingzhen Yang 140 92 55 52 49 27 312
Weina Zhang 172 1.2× 78 0.8× 45 0.8× 18 0.3× 74 1.5× 26 358
Zhi Wang 126 0.9× 52 0.6× 36 0.7× 19 0.4× 44 0.9× 28 319
Pengcheng Shi 140 1.0× 105 1.1× 54 1.0× 29 0.6× 25 0.5× 35 314
Jae Hoo Park 145 1.0× 61 0.7× 25 0.5× 21 0.4× 30 0.6× 20 286
Juan Luiz Coelho‐Silva 155 1.1× 78 0.8× 24 0.4× 19 0.4× 51 1.0× 35 263
Flávia Roche Moreira Latini 100 0.7× 106 1.2× 48 0.9× 14 0.3× 29 0.6× 34 340
Chengxin Luo 118 0.8× 59 0.6× 31 0.6× 32 0.6× 35 0.7× 23 356
Sen Zhang 137 1.0× 68 0.7× 47 0.9× 19 0.4× 39 0.8× 32 355
Leutz Buon 238 1.7× 112 1.2× 22 0.4× 32 0.6× 43 0.9× 28 364
Yanting Yu 134 1.0× 26 0.3× 22 0.4× 63 1.2× 46 0.9× 21 306

Countries citing papers authored by Mingzhen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingzhen Yang

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

All Works

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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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