Yun Mou

77 total papers · 899 total citations
47 papers, 659 citations indexed

About

Yun Mou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Yun Mou has authored 47 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Spectroscopy. Recurrent topics in Yun Mou's work include Advanced NMR Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Bacteriophages and microbial interactions (6 papers). Yun Mou is often cited by papers focused on Advanced NMR Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Bacteriophages and microbial interactions (6 papers). Yun Mou collaborates with scholars based in Taiwan, United States and China. Yun Mou's co-authors include Jerry C. C. Chan, Stephen L. Mayo, Shing‐Jong Huang, Yao‐Hung Tseng, Timothy M. Wannier, Chin‐Lin Guo, Chung‐Yuan Mou, Steve S.‐F. Yu, Chenghao Liu and Po‐Ssu Huang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yun Mou

46 papers receiving 645 citations

Author Peers

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

Author Last Decade Papers Cites
Yun Mou 320 132 118 104 103 47 659
Tomas Hode 120 0.4× 251 1.9× 18 0.2× 31 0.3× 93 0.9× 37 661
Abdelmajid Noubhani 269 0.8× 44 0.3× 58 0.5× 37 0.4× 17 0.2× 30 564
Christian Trachsel 280 0.9× 53 0.4× 91 0.8× 25 0.2× 22 0.2× 23 727
Kanagavel Deepankumar 430 1.3× 97 0.7× 29 0.2× 91 0.9× 161 1.6× 28 712
Zuhong Lu 301 0.9× 95 0.7× 34 0.3× 80 0.8× 35 0.3× 53 553
Carolin C. Lechner 501 1.6× 65 0.5× 30 0.3× 65 0.6× 211 2.0× 18 673
Jonathan P. Bramble 296 0.9× 162 1.2× 20 0.2× 155 1.5× 130 1.3× 33 736
J Millot 327 1.0× 85 0.6× 19 0.2× 26 0.3× 122 1.2× 25 692
Kentaro Ishii 479 1.5× 37 0.3× 74 0.6× 97 0.9× 69 0.7× 50 739
Andrea E. Rawlings 364 1.1× 190 1.4× 12 0.1× 104 1.0× 181 1.8× 25 639

Countries citing papers authored by Yun Mou

Since Specialization
Citations

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

Fields of papers citing papers by Yun Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Mou

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