Shu-Ming Huang

36 total papers · 3.0k total citations
22 papers, 2.2k citations indexed

About

Shu-Ming Huang is a scholar working on Cellular and Molecular Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shu-Ming Huang has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Physiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shu-Ming Huang's work include Alzheimer's disease research and treatments (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Stress Responses and Cortisol (4 papers). Shu-Ming Huang is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Stress Responses and Cortisol (4 papers). Shu-Ming Huang collaborates with scholars based in China, Japan and United States. Shu-Ming Huang's co-authors include Nobuhisa Iwata, Takaomi C. Saido, Makoto Higuchi, Virginia M.‐Y. Lee, Tetsuya Suhara, John Q. Trojanowski, Bin Zhang, Yasumasa Yoshiyama, Jun Maeda and Jiro Takano and has published in prestigious journals such as Nature Medicine, Neuron and Journal of Ethnopharmacology.

In The Last Decade

Shu-Ming Huang

22 papers receiving 2.2k citations

Hit Papers

Synapse Loss and Microgli... 2007 2026 2013 2019 2007 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Shu-Ming Huang 1.5k 785 691 673 310 22 2.2k
Amy M. Pooler 1.7k 1.1× 698 0.9× 860 1.2× 856 1.3× 325 1.0× 31 2.4k
Estibaliz Capetillo‐Zarate 1.4k 1.0× 781 1.0× 795 1.2× 787 1.2× 321 1.0× 44 2.6k
Yukio Matsuba 1.5k 1.1× 552 0.7× 490 0.7× 833 1.2× 324 1.0× 25 2.3k
Anete Rozkalne 1.5k 1.0× 610 0.8× 601 0.9× 952 1.4× 339 1.1× 17 2.6k
Lih-Fen Lue 1.8k 1.2× 668 0.9× 524 0.8× 785 1.2× 431 1.4× 16 2.4k
Fabien Delerue 1.5k 1.0× 422 0.5× 807 1.2× 753 1.1× 374 1.2× 26 2.3k
Tritia R. Yamasaki 1.4k 0.9× 720 0.9× 717 1.0× 855 1.3× 210 0.7× 20 2.4k
Sneha Narasimhan 1.3k 0.9× 720 0.9× 451 0.7× 633 0.9× 220 0.7× 23 2.0k
Mian Bi 1.6k 1.1× 528 0.7× 860 1.2× 754 1.1× 395 1.3× 16 2.2k
Robert M. Koffie 1.4k 1.0× 458 0.6× 698 1.0× 666 1.0× 324 1.0× 23 2.2k

Countries citing papers authored by Shu-Ming Huang

Since Specialization
Citations

This map shows the geographic impact of Shu-Ming 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-Ming 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-Ming Huang more than expected).

Fields of papers citing papers by Shu-Ming Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu-Ming Huang

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