Shey-Chiang Su

20 total papers · 512 total citations
14 papers, 397 citations indexed

About

Shey-Chiang Su is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Shey-Chiang Su has authored 14 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Epidemiology and 4 papers in Molecular Medicine. Recurrent topics in Shey-Chiang Su's work include Antibiotic Resistance in Bacteria (4 papers), Hepatitis B Virus Studies (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Shey-Chiang Su is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Hepatitis B Virus Studies (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Shey-Chiang Su collaborates with scholars based in Taiwan, Canada and Thailand. Shey-Chiang Su's co-authors include Hsiang-Kuang Tseng, Chun-Ming Lee, Chang-Pan Liu, Kuan‐Rong Lee, Robert P. Reynolds, Anthony W. Chow, Yossef Av‐Gay, Norman J. Dovic̀hi, Shu‐Chen Kuo and Te-Li Chen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Microbiology and The American Journal of Gastroenterology.

In The Last Decade

Shey-Chiang Su

13 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Shey-Chiang Su 124 109 108 90 72 14 397
Susan R. Swanzy 116 0.9× 134 1.2× 94 0.9× 50 0.6× 55 0.8× 11 433
Fernanda Pimentel de Araujo 135 1.1× 116 1.1× 97 0.9× 48 0.5× 39 0.5× 14 337
Piergiorgio Catalanotti 91 0.7× 85 0.8× 124 1.1× 58 0.6× 52 0.7× 26 380
Cressida Auckland 141 1.1× 180 1.7× 86 0.8× 120 1.3× 45 0.6× 14 382
Myron W. Fisher 99 0.8× 93 0.9× 86 0.8× 42 0.5× 39 0.5× 23 356
Michele J. Anderson 113 0.9× 60 0.6× 162 1.5× 63 0.7× 48 0.7× 10 425
J Barnishan 142 1.1× 113 1.0× 80 0.7× 35 0.4× 32 0.4× 13 421
S. Ken Tanaka 90 0.7× 117 1.1× 98 0.9× 31 0.3× 100 1.4× 11 359
Jessica A. Schuyler 112 0.9× 148 1.4× 106 1.0× 154 1.7× 21 0.3× 13 413
Eleonora Gabrielli 115 0.9× 111 1.0× 150 1.4× 128 1.4× 102 1.4× 21 412

Countries citing papers authored by Shey-Chiang Su

Since Specialization
Citations

This map shows the geographic impact of Shey-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 Shey-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 Shey-Chiang Su more than expected).

Fields of papers citing papers by Shey-Chiang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shey-Chiang Su

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