Mei‐Shu Lin

27 total papers · 513 total citations
15 papers, 419 citations indexed

About

Mei‐Shu Lin is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Mei‐Shu Lin has authored 15 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Mei‐Shu Lin's work include Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin is often cited by papers focused on Cardiac Ischemia and Reperfusion (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Mei‐Shu Lin collaborates with scholars based in Taiwan. Mei‐Shu Lin's co-authors include Tsung‐Ming Lee, Nen-Chung Chang, Chang‐Her Tsai, Tsai‐Fwu Chou, Chen‐Ling Huang, Nen‐Chung Chang, Feipei Lai, Fang‐Ju Lin, Jui Wang and Li‐Jiuan Shen and has published in prestigious journals such as Journal of the American College of Cardiology, The FASEB Journal and Endocrinology.

In The Last Decade

Mei‐Shu Lin

15 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Mei‐Shu Lin	159	147	93	85	57	15	419
Toyoharu Oba	135 0.8×	217 1.5×	74 0.8×	73 0.9×	67 1.2×	15	474
Joke Breyne	96 0.6×	164 1.1×	81 0.9×	90 1.1×	66 1.2×	18	440
Ling Liu	124 0.8×	145 1.0×	93 1.0×	45 0.5×	49 0.9×	25	478
T Umetsu	89 0.6×	150 1.0×	96 1.0×	74 0.9×	32 0.6×	23	436
Jer-Young Liou	164 1.0×	126 0.9×	48 0.5×	99 1.2×	37 0.6×	13	403
A C Honey	113 0.7×	143 1.0×	92 1.0×	133 1.6×	49 0.9×	15	478
Michiyo Ikeda	114 0.7×	102 0.7×	39 0.4×	91 1.1×	34 0.6×	14	427
Irit Rubinstein	163 1.0×	154 1.0×	37 0.4×	79 0.9×	40 0.7×	18	398
Jaw-Wen Chen	108 0.7×	111 0.8×	41 0.4×	72 0.8×	38 0.7×	26	405
Ingrid Gomez	93 0.6×	144 1.0×	77 0.8×	127 1.5×	27 0.5×	16	493

Countries citing papers authored by Mei‐Shu Lin

Since Specialization

Citations

This map shows the geographic impact of Mei‐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 Mei‐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 Mei‐Shu Lin more than expected).

Fields of papers citing papers by Mei‐Shu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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