Sheng‐Chiang Su

54 total papers · 844 total citations
35 papers, 572 citations indexed

About

Sheng‐Chiang Su is a scholar working on Physiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sheng‐Chiang Su has authored 35 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Surgery and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sheng‐Chiang Su's work include Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (6 papers) and Diabetes Treatment and Management (5 papers). Sheng‐Chiang Su is often cited by papers focused on Pancreatic function and diabetes (8 papers), Adipose Tissue and Metabolism (6 papers) and Diabetes Treatment and Management (5 papers). Sheng‐Chiang Su collaborates with scholars based in Taiwan, United States and Denmark. Sheng‐Chiang Su's co-authors include Yi‐Jen Hung, Chieh‐Hua Lu, Chang‐Hsun Hsieh, Fone‐Ching Hsiao, Feng-Chih Kuo, Kwang‐Huei Lin, Tiffany Ting‐Fang Shih, Yung‐Cheng Huang, Hsing‐Kuo Wang and Chang‐Hsun Hsieh and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sheng‐Chiang Su

32 papers receiving 566 citations

Author Peers

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

Author Last Decade Papers Cites
Sheng‐Chiang Su 136 113 110 94 79 35 572
Nicole de Talancé 118 0.9× 105 0.9× 87 0.8× 43 0.5× 82 1.0× 24 517
Bekir Sami Uyanık 116 0.9× 110 1.0× 84 0.8× 144 1.5× 48 0.6× 40 690
Na Luo 173 1.3× 93 0.8× 207 1.9× 55 0.6× 60 0.8× 25 655
Diego Fernández‐García 163 1.2× 124 1.1× 156 1.4× 139 1.5× 77 1.0× 34 509
V. Martina 187 1.4× 57 0.5× 108 1.0× 182 1.9× 84 1.1× 36 597
Armağan Tuğrul 108 0.8× 87 0.8× 107 1.0× 132 1.4× 81 1.0× 40 585
Emmanuel M. Awumey 166 1.2× 59 0.5× 169 1.5× 87 0.9× 54 0.7× 26 648
Samim Ali Mondal 130 1.0× 100 0.9× 111 1.0× 153 1.6× 56 0.7× 27 599
Wagner S. Dantas 304 2.2× 62 0.5× 182 1.7× 59 0.6× 106 1.3× 34 609
Masafumi Kurajoh 115 0.8× 77 0.7× 127 1.2× 84 0.9× 66 0.8× 30 617

Countries citing papers authored by Sheng‐Chiang Su

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Chiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Chiang Su. 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 Sheng‐Chiang Su. The network helps show where Sheng‐Chiang Su may publish in the future.

Co-authorship network of co-authors of Sheng‐Chiang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Chiang Su. A scholar is included among the top collaborators of Sheng‐Chiang Su 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 Sheng‐Chiang Su. Sheng‐Chiang Su 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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