Shu Yu

11 total papers · 911 total citations
11 papers, 774 citations indexed

About

Shu Yu is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Shu Yu has authored 11 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Shu Yu's work include Cannabis and Cannabinoid Research (8 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). Shu Yu is often cited by papers focused on Cannabis and Cannabinoid Research (8 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). Shu Yu collaborates with scholars based in United States, France and United Kingdom. Shu Yu's co-authors include John W. Huffman, Jenny L. Wiley, Billy R. Martin, Mary E. Abood, John Liddle, David M. Compton, Ruth M. McKernan, Julia A.H. Lainton, James M. Cook and Xiaohui He and has published in prestigious journals such as Journal of Medicinal Chemistry, Tetrahedron and European Journal of Pharmacology.

In The Last Decade

Shu Yu

11 papers receiving 757 citations

Author Peers

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

Author Last Decade Papers Cites
Shu Yu 594 457 204 124 98 11 774
Dean A. Haycock 504 0.8× 510 1.1× 208 1.0× 77 0.6× 85 0.9× 18 816
Alexandros Makriyannis 546 0.9× 362 0.8× 151 0.7× 81 0.7× 112 1.1× 25 692
Vasiliki Abadji 731 1.2× 502 1.1× 225 1.1× 91 0.7× 134 1.4× 12 829
Bijali Saha 568 1.0× 302 0.7× 120 0.6× 84 0.7× 92 0.9× 25 671
Evgueni V. Berdyshev 644 1.1× 216 0.5× 130 0.6× 105 0.8× 77 0.8× 13 748
Gerald H. Wilken 485 0.8× 400 0.9× 161 0.8× 71 0.6× 86 0.9× 17 743
Shakiru O. Alapafuja 475 0.8× 300 0.7× 95 0.5× 115 0.9× 51 0.5× 17 636
Amey Dhopeshwarkar 452 0.8× 271 0.6× 169 0.8× 72 0.6× 61 0.6× 13 641
George M. Milne 618 1.0× 415 0.9× 130 0.6× 54 0.4× 185 1.9× 17 746
Nadine Kaiser 490 0.8× 389 0.9× 159 0.8× 123 1.0× 33 0.3× 20 716

Countries citing papers authored by Shu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yu

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