Michael F. Lin

14.6k citations
13 papers · 6.3k indexed · 3 hit papers · h-index 12
Topics
RNA and protein synthesis mechanisms (7 papers)Genomics and Phylogenetic Studies (7 papers)Genetic diversity and population structure (3 papers)

In The Last Decade

Michael F. Lin

13 papers receiving 6.2k citations

Hit Papers

Chromatin signature reveals over a thousa...199120262002201420091991201110002.0k3.0k

Peers

Michael F. Lin
Comparison fields: 5 of 145
  • Molecular Biology 5.0k
  • Cancer Research 3.5k
  • Genetics 446
  • Plant Science 312
  • Epidemiology 295
Replace Rajendra Prasad with:
Rajendra Prasad United States
J. Pablo Radicella France
Sonja Hess United States
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Klaus P. Hoeflich United States
Thomas Preiß Australia
Masato Enari Japan
Henrik Molina United States
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Michael F. Lin relative to Rajendra Prasad United States Rajendra Prasad's profile →
Citations per field
00.5×1.5×1.9×
Rajendra Prasad · 1×
Citations per year

Countries citing papers authored by Michael F. Lin

Since Specialization
Citations

This map shows the geographic impact of Michael F. 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 F. 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 F. Lin more than expected).

Fields of papers citing papers by Michael F. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael F. Lin

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 7
2 38
3 26
4 155
5 29
6 72
7
PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regionsbreakdown →
727
8
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammalsbreakdown →
3283
9 24
10 37
11 115
12 404
13
Intracellular heterogeneity in mitochondrial membrane potentials revealed by a J-aggregate-forming lipophilic cation JC-1.breakdown →
1379

About Michael F. Lin

Michael F. Lin is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 13 papers that have together received 6.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (7 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Cancer Research (3.5k citations), Molecular Biology (5.0k citations) and Endocrinology (235 citations). Michael F. Lin has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include Manolis Kellis, Irwin Jungreis, Eric S. Lander, L B Chen, Thomas W. Smith, S T Smiley, Aileen B. Chen, G Steele, Martin Reers and Ido Amit. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

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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