Hui‐Min Lin

13 papers and 374 indexed citations i.

About

Hui‐Min Lin is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Hui‐Min Lin has authored 13 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Statistics and Probability. Recurrent topics in Hui‐Min Lin’s work include Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers) and Molecular Biology Techniques and Applications (2 papers). Hui‐Min Lin is often cited by papers focused on Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers) and Molecular Biology Techniques and Applications (2 papers). Hui‐Min Lin collaborates with scholars based in United States, Taiwan and United Kingdom. Hui‐Min Lin's co-authors include George C. Tseng, Lun‐Ching Chang, Etienne Sibille, Yan Lin, Chih‐Chieh Chan, John M. Kirkwood, Hsien‐Ching Chiu, Bennett Van Houten, Lyn M. Duncan and Stergios J. Moschos and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Hui‐Min Lin i

Fields of papers citing papers by Hui‐Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui‐Min Lin

Since Specialization
Citations

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

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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