Meng-Xin Yin

36 total papers · 926 total citations
32 papers, 722 citations indexed

About

Meng-Xin Yin is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Meng-Xin Yin has authored 32 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Cell Biology and 4 papers in Materials Chemistry. Recurrent topics in Meng-Xin Yin's work include Hippo pathway signaling and YAP/TAZ (11 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Meng-Xin Yin is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (11 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Meng-Xin Yin collaborates with scholars based in China, Australia and United States. Meng-Xin Yin's co-authors include Lei Zhang, Yi Lu, Yun Zhao, Andrew B. Holmes, Hongbin Ji, Peixue Li, Wenqing Wu, Lei Zhang, Zhaocai Zhou and Lianxin Hu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Development.

In The Last Decade

Meng-Xin Yin

32 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
Meng-Xin Yin 400 346 61 52 42 32 722
Manuel H. Taft 511 1.3× 348 1.0× 45 0.7× 59 1.1× 28 0.7× 38 854
Odile Valiron 409 1.0× 344 1.0× 33 0.5× 55 1.1× 27 0.6× 25 664
Peter Sheterline 383 1.0× 339 1.0× 86 1.4× 26 0.5× 71 1.7× 33 767
Zita Balklava 407 1.0× 281 0.8× 34 0.6× 34 0.7× 52 1.2× 20 817
Deborah J. Field 543 1.4× 334 1.0× 118 1.9× 37 0.7× 30 0.7× 17 805
Fumiko Harada 489 1.2× 219 0.6× 58 1.0× 42 0.8× 93 2.2× 20 740
Maria A. Theodoraki 603 1.5× 182 0.5× 62 1.0× 63 1.2× 23 0.5× 22 758
Marc D.H. Hansen 528 1.3× 415 1.2× 52 0.9× 31 0.6× 32 0.8× 37 885
Lee Dolat 430 1.1× 276 0.8× 66 1.1× 24 0.5× 59 1.4× 16 678
Mikhail Baryshev 297 0.7× 212 0.6× 61 1.0× 45 0.9× 42 1.0× 34 668

Countries citing papers authored by Meng-Xin Yin

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Xin Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng-Xin Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Meng-Xin Yin. A scholar is included among the top collaborators of Meng-Xin 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 Meng-Xin Yin. Meng-Xin Yin 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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