Mike Z. Lin

19 total papers · 598 total citations
13 papers, 472 citations indexed

About

Mike Z. Lin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Mike Z. Lin has authored 13 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Oncology. Recurrent topics in Mike Z. Lin's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Mike Z. Lin is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer-related Molecular Pathways (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Mike Z. Lin collaborates with scholars based in Australia and China. Mike Z. Lin's co-authors include Robert C. Baxter, Janet L. Martin, Xinming Chen, Carol A. Pollock, Chunling Huang, Filip Braet, Delfine Cheng, Eileen McGowan, Leo Phillips and Carolyn D. Scott and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Scientific Reports.

In The Last Decade

Mike Z. Lin

13 papers receiving 469 citations

Author Peers

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

Author Last Decade Papers Cites
Mike Z. Lin 306 136 114 97 53 13 472
Claire Worrall 338 1.1× 144 1.1× 94 0.8× 93 1.0× 17 0.3× 17 512
Joseph R. Day 204 0.7× 109 0.8× 66 0.6× 59 0.6× 52 1.0× 11 424
Pia Sulas 241 0.8× 119 0.9× 132 1.2× 51 0.5× 119 2.2× 15 462
Giuditta Cuccuru 266 0.9× 120 0.9× 68 0.6× 186 1.9× 35 0.7× 17 502
Ya-Hui Huang 237 0.8× 107 0.8× 128 1.1× 46 0.5× 76 1.4× 14 492
Joe Carroll 233 0.8× 108 0.8× 71 0.6× 57 0.6× 26 0.5× 23 455
Ricardo Marques 268 0.9× 84 0.6× 153 1.3× 82 0.8× 19 0.4× 20 487
Miranda Menniti 335 1.1× 52 0.4× 85 0.7× 58 0.6× 31 0.6× 13 462
Shigeki Tazawa 204 0.7× 115 0.8× 47 0.4× 48 0.5× 52 1.0× 19 469
Wan-Ru Lee 276 0.9× 72 0.5× 59 0.5× 69 0.7× 46 0.9× 12 511

Countries citing papers authored by Mike Z. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mike Z. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike Z. 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 Mike Z. Lin. The network helps show where Mike Z. Lin may publish in the future.

Co-authorship network of co-authors of Mike Z. Lin

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