Dan-Yu Lin

1.4k total citations
2 papers, 55 citations indexed

About

Dan-Yu Lin is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Dan-Yu Lin has authored 2 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Dan-Yu Lin's work include Genetic Associations and Epidemiology (2 papers), Genetic Syndromes and Imprinting (1 paper) and Single-cell and spatial transcriptomics (1 paper). Dan-Yu Lin is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetic Syndromes and Imprinting (1 paper) and Single-cell and spatial transcriptomics (1 paper). Dan-Yu Lin collaborates with scholars based in United States. Dan-Yu Lin's co-authors include Zheng-Zheng Tang, Donglin Zeng, Rujin Wang and Yuchao Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences and PLoS Genetics.

In The Last Decade

Dan-Yu Lin

2 papers receiving 55 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan-Yu Lin United States	2	36	17	16	5	4	2	55
Anne Ciecko Australia	2	15 0.4×	2 0.1×	8 0.5×			2	17
John‐Paul Plazzer Australia	2	23 0.6×		15 0.9×		4 1.0×	3	31
Geoffroy Delplancq France	5	28 0.8×		33 2.1×		4 1.0×	7	56
Hatsumi Okada Japan	4	29 0.8×		18 1.1×		2 0.5×	4	49
Sara Wells United Kingdom	3	43 1.2×		32 2.0×		4 1.0×	3	57
Aviva Eliyahu Israel	4	34 0.9×		33 2.1×		3 0.8×	6	51
Juan Esteban Rodríguez-Rodríguez Mexico	2	23 0.6×		10 0.6×		5 1.3×	3	37
Jennifer Burton United States	3	20 0.6×		24 1.5×		2 0.5×	3	40

Countries citing papers authored by Dan-Yu Lin

Since Specialization

Citations

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

Fields of papers citing papers by Dan-Yu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan-Yu 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 Dan-Yu Lin. The network helps show where Dan-Yu Lin may publish in the future.

Co-authorship network of co-authors of Dan-Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dan-Yu Lin. A scholar is included among the top collaborators of Dan-Yu 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 Dan-Yu Lin. Dan-Yu 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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2 of 2 papers shown

1.

Wang, Rujin, Dan-Yu Lin, & Yuchao Jiang. (2022). EPIC: Inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing. PLoS Genetics. 18(6). e1010251–e1010251. 12 indexed citations

2.

Lin, Dan-Yu, Donglin Zeng, & Zheng-Zheng Tang. (2013). Quantitative trait analysis in sequencing studies under trait-dependent sampling. Proceedings of the National Academy of Sciences. 110(30). 12247–12252. 43 indexed citations

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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