Shi‐Xiong Tan

22 total papers · 1.6k total citations
19 papers, 1.2k citations indexed

About

Shi‐Xiong Tan is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Shi‐Xiong Tan has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Shi‐Xiong Tan's work include Adipose Tissue and Metabolism (4 papers), Redox biology and oxidative stress (4 papers) and Fungal and yeast genetics research (4 papers). Shi‐Xiong Tan is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Redox biology and oxidative stress (4 papers) and Fungal and yeast genetics research (4 papers). Shi‐Xiong Tan collaborates with scholars based in Australia, Singapore and United States. Shi‐Xiong Tan's co-authors include Ian W. Dawes, Gabriel G. Perrone, David E. James, Yvonne Ng, Jacqueline Stöckli, Daniel J. Fazakerley, Chris M. Grant, Christopher C. Meoli, Darren Greetham and James G. Burchfield and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Molecular and Cellular Biology.

In The Last Decade

Shi‐Xiong Tan

19 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Shi‐Xiong Tan 823 192 131 131 119 19 1.2k
Celia Pilar Martinez‐Jimenez 1.1k 1.3× 134 0.7× 132 1.0× 139 1.1× 55 0.5× 27 1.6k
Vikash Vikash 756 0.9× 170 0.9× 153 1.2× 110 0.8× 82 0.7× 23 1.7k
Petra Kempná 703 0.9× 145 0.8× 72 0.5× 43 0.3× 80 0.7× 25 1.4k
Barry D. Gehm 937 1.1× 232 1.2× 75 0.6× 53 0.4× 101 0.8× 20 1.8k
J. Conchie 835 1.0× 201 1.0× 45 0.3× 205 1.6× 119 1.0× 33 1.5k
Graeme J. Moffat 987 1.2× 103 0.5× 52 0.4× 101 0.8× 84 0.7× 31 1.5k
Onard Schoneveld 827 1.0× 222 1.2× 123 0.9× 161 1.2× 60 0.5× 12 1.8k
Sonia Shalini 926 1.1× 75 0.4× 234 1.8× 75 0.6× 178 1.5× 19 1.6k
Jason Yu 1.1k 1.4× 113 0.6× 157 1.2× 62 0.5× 84 0.7× 21 1.8k
Kondala R. Atkuri 728 0.9× 158 0.8× 121 0.9× 55 0.4× 60 0.5× 18 1.7k

Countries citing papers authored by Shi‐Xiong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Xiong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐Xiong Tan. 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 Shi‐Xiong Tan. The network helps show where Shi‐Xiong Tan may publish in the future.

Co-authorship network of co-authors of Shi‐Xiong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Xiong Tan. A scholar is included among the top collaborators of Shi‐Xiong Tan 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 Shi‐Xiong Tan. Shi‐Xiong Tan 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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