Michael Lin

9.3k total citations · 1 hit paper
9 papers, 826 citations indexed

About

Michael Lin is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Michael Lin has authored 9 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Genetics. Recurrent topics in Michael Lin's work include Synthesis and Characterization of Heterocyclic Compounds (3 papers), Synthesis and Reactions of Organic Compounds (3 papers) and Synthesis of heterocyclic compounds (2 papers). Michael Lin is often cited by papers focused on Synthesis and Characterization of Heterocyclic Compounds (3 papers), Synthesis and Reactions of Organic Compounds (3 papers) and Synthesis of heterocyclic compounds (2 papers). Michael Lin collaborates with scholars based in United States, Australia and Denmark. Michael Lin's co-authors include Fan Lin, Aviv Regev, Andrea Pauli, Eivind Valen, Joshua Z. Levin, Albin Sandelin, Alexander F. Schier, John L. Rinn, Manuel Garber and Nadine L. Vastenhouw and has published in prestigious journals such as Bioinformatics, Genome Research and Journal of Medicinal Chemistry.

In The Last Decade

Michael Lin

8 papers receiving 810 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis

2011 630 citations Andrea Pauli, Eivind Valen et al. Genome Research profile →

Peers

Michael Lin

MB

CR

GENET

ENDOC

PS

Marc Bichara France

Joanna Kufel Poland

Mayuko Yoda Japan

Stefan Bresson United Kingdom

William E. Stumph United States

Zhenping Zhong United States

Scott W. Knight United States

Jacob W. Hodgson Canada

Louis Valente United States

Alissa M. Williams United States

Marc Bichara France

Michael Lin

751 ×1.3

MB

181 ×0.4

CR

232 ×1.7

GENET

17 ×0.2

ENDOC

118 ×1.6

PS

Citations per year, relative to Michael Lin Michael Lin (= 1×) peers Marc Bichara

Countries citing papers authored by Michael Lin

Since Specialization

Citations

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

Fields of papers citing papers by Michael Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lin. A scholar is included among the top collaborators of Michael 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 Michael Lin. Michael Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Xiao, Di, Michael Lin, Chunlei Liu, et al.. (2023). SnapKin: a snapshot deep learning ensemble for kinase-substrate prediction from phosphoproteomics data. NAR Genomics and Bioinformatics. 5(4). lqad099–lqad099. 1 indexed citations

2.

Lin, Michael, Xiaodong Bai, William Salerno, & Jeffrey G. Reid. (2020). Sparse Project VCF: efficient encoding of population genotype matrices. Bioinformatics. 36(22-23). 5537–5538. 8 indexed citations

3.

Yun, Taedong, Helen Li, Pi-Chuan Chang, et al.. (2020). Accurate, scalable cohort variant calls using DeepVariant and GLnexus. Bioinformatics. 36(24). 5582–5589. 94 indexed citations

4.

Tsai, Richard, Michael Lin, Joyce Mhlanga, et al.. (2019). Magnetic resonance enterography features of small bowel Crohn’s disease activity: an inter-rater reliability study of small bowel active inflammation in clinical practice setting. British Journal of Radiology. 92(1099). 20180930–20180930. 12 indexed citations

5.

Tsai, Richard, George P. Christophi, David H. Bruining, et al.. (2018). Impact of a Standardized Reporting System for Magnetic Resonance Enterography on Small Bowel Crohnʼs Disease Management. The American Journal of Gastroenterology. 113(Supplement). S331–S331.

6.

Pauli, Andrea, Eivind Valen, Michael Lin, et al.. (2011). Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis. Genome Research. 22(3). 577–591. 630 indexed citations breakdown →

7.

Rosowsky, A., et al.. (1973). 2,4-Diaminothieno[2,3-d]pyrimidines as antifolates and antimalarials. 1. Synthesis of 2,4-diamino-5,6,4,8-tetrahydrothianaphtheno[2,3-d]pyrimidines and related compounds. Journal of Medicinal Chemistry. 16(3). 185–188. 43 indexed citations

8.

Rosowsky, A., et al.. (1973). 2,4-Diaminothieno[2,3-d]pyrimidines as antifolates and antimalarials. 3. Synthesis of 5,6-disubstituted derivatives and related tetracyclic analogs. Journal of Medicinal Chemistry. 16(3). 191–194. 32 indexed citations

9.

Rosowsky, A., Michael Chaykovsky, Michael Lin, & Edward J. Modest. (1973). Pteridines. 2. New 6,7-disubstituted pteridines as potential antimalarial and antitumor agents. Journal of Medicinal Chemistry. 16(8). 869–875. 6 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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