Yin Wu

135 total papers · 4.0k total citations
65 papers, 1.5k citations indexed

About

Yin Wu is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yin Wu has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Surgery and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yin Wu's work include Zebrafish Biomedical Research Applications (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Lipid metabolism and disorders (4 papers). Yin Wu is often cited by papers focused on Zebrafish Biomedical Research Applications (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Lipid metabolism and disorders (4 papers). Yin Wu collaborates with scholars based in China, United States and Hong Kong. Yin Wu's co-authors include James Mu, Morris J. Birnbaum, Jonathan C. Cohen, Helen H. Hobbs, Stefano Romeo, Julia Kozlitina, L Pennacchio, Eric Boerwinkle, Bing Hu and Ye Ding and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Yin Wu

60 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Yin Wu 644 409 267 256 222 65 1.5k
Jincheng Liu 573 0.9× 348 0.9× 133 0.5× 232 0.9× 199 0.9× 73 1.6k
María Galán 617 1.0× 371 0.9× 194 0.7× 393 1.5× 262 1.2× 55 1.8k
Nobuhiro Morisaki 748 1.2× 214 0.5× 208 0.8× 357 1.4× 281 1.3× 73 1.7k
Xiu‐Ling Deng 895 1.4× 455 1.1× 165 0.6× 239 0.9× 226 1.0× 78 1.7k
Haixia Xu 788 1.2× 245 0.6× 190 0.7× 186 0.7× 132 0.6× 63 1.7k
Xunde Xian 536 0.8× 208 0.5× 175 0.7× 278 1.1× 482 2.2× 60 1.5k
Stefan Lehr 775 1.2× 196 0.5× 201 0.8× 323 1.3× 258 1.2× 59 1.6k
Limei Liu 618 1.0× 196 0.5× 288 1.1× 180 0.7× 317 1.4× 69 1.5k
Irina V. Smirnova 538 0.8× 236 0.6× 150 0.6× 150 0.6× 263 1.2× 61 1.8k
Lakshmi Pulakat 685 1.1× 616 1.5× 420 1.6× 257 1.0× 319 1.4× 67 1.7k

Countries citing papers authored by Yin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Wu

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