Hai‐Shu Lin

87 total papers · 2.7k total citations
75 papers, 2.3k citations indexed

About

Hai‐Shu Lin is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Hai‐Shu Lin has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Geriatrics and Gerontology and 17 papers in Oncology. Recurrent topics in Hai‐Shu Lin's work include Sirtuins and Resveratrol in Medicine (25 papers), Drug Transport and Resistance Mechanisms (8 papers) and Bioactive natural compounds (7 papers). Hai‐Shu Lin is often cited by papers focused on Sirtuins and Resveratrol in Medicine (25 papers), Drug Transport and Resistance Mechanisms (8 papers) and Bioactive natural compounds (7 papers). Hai‐Shu Lin collaborates with scholars based in Singapore, China and United States. Hai‐Shu Lin's co-authors include Paul C. Ho, Samuel Chao Ming Yeo, Qiuyi Choo, Ka‐Yun Ng, Surajit Das, Sui Yung Chan, Yoshiya Tanaka, Xiaoqiang Xiang, Philippe Clément-Lacroix and Hsiao Yun Chan and has published in prestigious journals such as Analytical Chemistry, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Hai‐Shu Lin

71 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Hai‐Shu Lin 1.2k 616 317 223 208 75 2.3k
David J. Boocock 1.3k 1.1× 747 1.2× 362 1.1× 178 0.8× 455 2.2× 70 3.0k
Maija Lahtela‐Kakkonen 1.1k 0.9× 759 1.2× 320 1.0× 107 0.5× 274 1.3× 74 2.7k
Anna Maria Posadino 873 0.7× 299 0.5× 203 0.6× 108 0.5× 229 1.1× 50 2.3k
John E. Oatis 1.1k 0.9× 923 1.5× 248 0.8× 153 0.7× 446 2.1× 40 2.5k
Philipp Saiko 912 0.8× 689 1.1× 263 0.8× 105 0.5× 168 0.8× 56 1.9k
Xiaolin Li 1.0k 0.9× 194 0.3× 298 0.9× 139 0.6× 109 0.5× 95 2.7k
Nunzia D’Onofrio 1.2k 1.0× 520 0.8× 175 0.6× 166 0.7× 480 2.3× 78 3.3k
W P Steward 1.1k 0.9× 382 0.6× 930 2.9× 139 0.6× 231 1.1× 49 2.9k
Jean‐Francois Marier 537 0.5× 266 0.4× 230 0.7× 167 0.7× 330 1.6× 72 2.0k
Young G. Shin 973 0.8× 242 0.4× 263 0.8× 93 0.4× 133 0.6× 96 1.9k

Countries citing papers authored by Hai‐Shu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Shu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai‐Shu Lin

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