Yu Mei

27 total papers · 1.0k total citations
24 papers, 781 citations indexed

About

Yu Mei is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yu Mei has authored 24 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Yu Mei's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Yu Mei is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Yu Mei collaborates with scholars based in China, Singapore and United States. Yu Mei's co-authors include Haiyan Liu, Yuan Song, Yonghao Liu, Bo Hu, Dandan Lin, Ying Zhu, Lixiang Zhao, Yinsheng Zhang, Ziqi Jin and Huanle Gong and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Scientific Reports.

In The Last Decade

Yu Mei

23 papers receiving 770 citations

Hit Papers

Cryomicroneedles for tran... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yu Mei 424 195 185 135 93 24 781
Marcela Alcántara‐Hernández 613 1.4× 150 0.8× 189 1.0× 42 0.3× 58 0.6× 18 833
Joost H. van den Berg 470 1.1× 363 1.9× 314 1.7× 54 0.4× 37 0.4× 31 853
Philippe De Groote 236 0.6× 171 0.9× 353 1.9× 32 0.2× 66 0.7× 12 724
Geuranne S. Tjabringa 255 0.6× 73 0.4× 216 1.2× 39 0.3× 105 1.1× 14 786
C. Barrault 172 0.4× 76 0.4× 219 1.2× 29 0.2× 46 0.5× 22 698
Hanna Niehues 138 0.3× 98 0.5× 209 1.1× 78 0.6× 82 0.9× 27 651
Julia M. Martínez Gómez 285 0.7× 109 0.6× 151 0.8× 31 0.2× 30 0.3× 25 714
Jinhee Lee 251 0.6× 96 0.5× 291 1.6× 17 0.1× 31 0.3× 29 836
Na Kyeong Lee 179 0.4× 110 0.6× 355 1.9× 30 0.2× 205 2.2× 34 753
Chao-Yang Lai 285 0.7× 109 0.6× 261 1.4× 16 0.1× 94 1.0× 23 651

Countries citing papers authored by Yu Mei

Since Specialization
Citations

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

Fields of papers citing papers by Yu Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mei. A scholar is included among the top collaborators of Yu Mei 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 Yu Mei. Yu Mei 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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