Shu‐Gui Huang

26 total papers · 910 total citations
22 papers, 763 citations indexed

About

Shu‐Gui Huang is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Shu‐Gui Huang has authored 22 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Shu‐Gui Huang's work include Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (7 papers) and DNA and Nucleic Acid Chemistry (3 papers). Shu‐Gui Huang is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (7 papers) and DNA and Nucleic Acid Chemistry (3 papers). Shu‐Gui Huang collaborates with scholars based in Germany, United States and China. Shu‐Gui Huang's co-authors include Martin Klingenberg, Klaus Weißhart, Ellen Fanning, Gene Cutler, Lingming Liang, Kang Dai, Juan Du, Wanbo Li, Jack Zhao and Jinlong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Shu‐Gui Huang

22 papers receiving 722 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‐Gui Huang 393 212 132 128 104 22 763
F. Kreutz 262 0.7× 228 1.1× 140 1.1× 83 0.6× 61 0.6× 21 838
Diane M. Hargrove 345 0.9× 157 0.7× 50 0.4× 98 0.8× 47 0.5× 29 789
D. K. Kasbekar 450 1.1× 121 0.6× 62 0.5× 83 0.6× 145 1.4× 32 868
Guy Augert 329 0.8× 129 0.6× 55 0.4× 69 0.5× 145 1.4× 17 713
Y. Le Marchand 282 0.7× 259 1.2× 122 0.9× 155 1.2× 63 0.6× 17 783
Hsiu‐Chiung Yang 500 1.3× 208 1.0× 53 0.4× 78 0.6× 92 0.9× 28 856
Jakub Drożak 364 0.9× 321 1.5× 118 0.9× 90 0.7× 37 0.4× 34 880
Julien Mozo 390 1.0× 468 2.2× 74 0.6× 79 0.6× 69 0.7× 14 815
Luke Carroll 329 0.8× 167 0.8× 70 0.5× 84 0.7× 113 1.1× 28 681
Marwan Emara 398 1.0× 117 0.6× 56 0.4× 133 1.0× 36 0.3× 41 852

Countries citing papers authored by Shu‐Gui Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Gui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Gui Huang

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