Michael L. Metzker

41.8k total citations · 2 hit papers
35 papers, 7.6k citations indexed

About

Michael L. Metzker is a scholar working on Molecular Biology, Virology and Genetics. According to data from OpenAlex, Michael L. Metzker has authored 35 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 5 papers in Virology and 5 papers in Genetics. Recurrent topics in Michael L. Metzker's work include Advanced biosensing and bioanalysis techniques (12 papers), DNA and Nucleic Acid Chemistry (7 papers) and HIV Research and Treatment (5 papers). Michael L. Metzker is often cited by papers focused on Advanced biosensing and bioanalysis techniques (12 papers), DNA and Nucleic Acid Chemistry (7 papers) and HIV Research and Treatment (5 papers). Michael L. Metzker collaborates with scholars based in United States, Sweden and United Kingdom. Michael L. Metzker's co-authors include Richard A. Gibbs, Christopher P. Austin, C. Thomas Caskey, Konstantin Petrukhin, Wen Li, David J. Figueroa, Guochun Xie, Kevin Burgess, Jing Lü and Claes Wadelius and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michael L. Metzker

35 papers receiving 7.3k citations

Hit Papers

Sequencing technologies — the next generation 1998 2026 2007 2016 2009 1998 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Metzker United States 23 5.0k 1.8k 786 755 640 35 7.6k
Mike Strauss Germany 54 7.4k 1.5× 1.7k 1.0× 928 1.2× 462 0.6× 385 0.6× 158 10.8k
Mostafa Ronaghi United States 44 5.2k 1.0× 1.1k 0.6× 669 0.9× 599 0.8× 1.0k 1.6× 101 8.4k
Hiroshi Yoshikawa Japan 43 3.8k 0.8× 2.2k 1.3× 238 0.3× 424 0.6× 974 1.5× 409 7.9k
Rui Chen United States 47 4.6k 0.9× 1.6k 0.9× 531 0.7× 532 0.7× 215 0.3× 216 7.1k
John C. Fiddes United States 37 8.2k 1.6× 2.0k 1.1× 1.3k 1.7× 553 0.7× 1.4k 2.1× 56 12.0k
Jean Muller France 31 5.7k 1.1× 1.8k 1.0× 702 0.9× 533 0.7× 403 0.6× 93 8.4k
Eugene Kolker United States 29 7.5k 1.5× 939 0.5× 483 0.6× 546 0.7× 549 0.9× 94 10.8k
Huaiyu Mi United States 23 8.5k 1.7× 2.1k 1.2× 1.6k 2.1× 1.2k 1.6× 414 0.6× 41 13.6k
Andrew Keller United States 30 7.9k 1.6× 788 0.4× 557 0.7× 544 0.7× 409 0.6× 65 11.5k
Robert S. Fulton United States 38 4.7k 0.9× 1.7k 1.0× 1.1k 1.4× 973 1.3× 430 0.7× 85 7.9k

Countries citing papers authored by Michael L. Metzker

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Metzker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Metzker

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

All Works

20 of 20 papers shown
1.
Fujimoto, Kayo, Lyndon M. Coghill, Christopher Weier, et al.. (2017). Short Communication: Lack of Support for Socially Connected HIV-1 Transmission Among Young Adult Black Men Who Have Sex with Men. AIDS Research and Human Retroviruses. 33(9). 935–940. 5 indexed citations
2.
Couturier, Jacob, James Suliburk, Jeremy M. Brown, et al.. (2015). Human adipose tissue as a reservoir for memory CD4+ T cells and HIV. AIDS. 29(6). 667–674. 86 indexed citations
3.
Doyle, Vinson P., et al.. (2014). Untangling the influences of unmodeled evolutionary processes on phylogenetic signal in a forensically important HIV-1 transmission cluster. Molecular Phylogenetics and Evolution. 75. 126–137. 3 indexed citations
5.
Li, Hong, Jinchun Wang, Weidong Wu, et al.. (2012). Stereochemistry of Benzylic Carbon Substitution Coupled with Ring Modification of 2‐Nitrobenzyl Groups as Key Determinants for Fast‐Cleaving Reversible Terminators. Angewandte Chemie International Edition. 51(7). 1724–1727. 29 indexed citations
6.
Gardner, Andrew F., Jinchun Wang, Weidong Wu, et al.. (2012). Rapid incorporation kinetics and improved fidelity of a novel class of 3′-OH unblocked reversible terminators. Nucleic Acids Research. 40(15). 7404–7415. 17 indexed citations
7.
8.
Metzker, Michael L.. (2009). Sequencing technologies — the next generation. Nature Reviews Genetics. 11(1). 31–46. 4622 indexed citations breakdown →
9.
Wu, Weidong, et al.. (2007). Termination of DNA synthesis by N6 -alkylated, not 3′- O -alkylated, photocleavable 2′-deoxyadenosine triphosphates. Nucleic Acids Research. 35(19). 6339–6349. 35 indexed citations
10.
Lewis, Ernest K., Freddy T. Nguyen, Daniel A. Heller, et al.. (2005). Color-blind fluorescence detection for four-color DNA sequencing. Proceedings of the National Academy of Sciences. 102(15). 5346–5351. 30 indexed citations
11.
Metzker, Michael L.. (2005). Emerging technologies in DNA sequencing. Genome Research. 15(12). 1767–1776. 302 indexed citations
12.
Fernandez‐Valdivia, Rodrigo, et al.. (2005). l7Rn6Encodes a Novel Protein Required for Clara Cell Function in Mouse Lung Development. Genetics. 172(1). 389–399. 11 indexed citations
13.
Twells, Rebecca C.J., Michael L. Metzker, Sheryl D. Brown, et al.. (2001). The Sequence and Gene Characterization of a 400-kb Candidate Region for IDDM4 on Chromosome 11q13. Genomics. 72(3). 231–242. 28 indexed citations
14.
Bouck, John, Michael L. Metzker, & Richard A. Gibbs. (2000). Shotgun sample sequence comparisons between mouse and human genomes. Nature Genetics. 25(1). 31–33. 19 indexed citations
15.
Allikmets, Rando, Johanna M. Seddon, Paul S. Bernstein, et al.. (1999). Evaluation of the Best disease gene in patients with age-related macular degeneration and other maculopathies. Human Genetics. 104(6). 449–453. 122 indexed citations
16.
Brown, Sheryl D., Rebecca C.J. Twells, Patricia J. Hey, et al.. (1998). Isolation and Characterization ofLRP6,a Novel Member of the Low Density Lipoprotein Receptor Gene Family. Biochemical and Biophysical Research Communications. 248(3). 879–888. 167 indexed citations
17.
Petrukhin, Konstantin, Benjamin Bakall, Wen Li, et al.. (1998). Identification of the gene responsible for Best macular dystrophy. Nature Genetics. 19(3). 241–247. 541 indexed citations breakdown →
18.
Hey, Patricia J., Rebecca C.J. Twells, Michael Phillips, et al.. (1998). Cloning of a novel member of the low-density lipoprotein receptor family. Gene. 216(1). 103–111. 168 indexed citations
19.
Metzker, Michael L., Jing Lü, & Richard A. Gibbs. (1996). Electrophoretically Uniform Fluorescent Dyes for Automated DNA Sequencing. Science. 271(5254). 1420–1422. 122 indexed citations
20.
Metzker, Michael L., et al.. (1995). Accurate determination of DNA in agarose gels using the novel algorithm GelScann(1.0). Computer applications in the biosciences. 11(2). 187–194. 4 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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