Webb Miller

53.9k total citations · 12 hit papers
201 papers, 25.8k citations indexed

About

Webb Miller is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Webb Miller has authored 201 papers receiving a total of 25.8k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Molecular Biology, 60 papers in Genetics and 44 papers in Artificial Intelligence. Recurrent topics in Webb Miller's work include Genomics and Phylogenetic Studies (97 papers), RNA and protein synthesis mechanisms (56 papers) and Chromosomal and Genetic Variations (43 papers). Webb Miller is often cited by papers focused on Genomics and Phylogenetic Studies (97 papers), RNA and protein synthesis mechanisms (56 papers) and Chromosomal and Genetic Variations (43 papers). Webb Miller collaborates with scholars based in United States, United Kingdom and Canada. Webb Miller's co-authors include Scott Schwartz, Zheng Zhang, Lukas Wagner, Ross C. Hardison, Eugene W. Myers, David Haussler, W. James Kent, Cathy Riemer, Xiaoqiu Huang and Laura Elnitski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Webb Miller

199 papers receiving 25.1k citations

Hit Papers

A Greedy Algorithm for Aligning DNA Sequences 1988 2026 2000 2013 2000 2005 2005 2004 1988 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
Webb Miller United States 62 17.3k 6.4k 5.5k 2.3k 1.7k 201 25.8k
Laurie Issel‐Tarver United States 9 22.2k 1.3× 4.1k 0.6× 3.4k 0.6× 1.5k 0.6× 3.3k 2.0× 11 31.3k
Janan T. Eppig United States 42 26.6k 1.5× 5.9k 0.9× 3.9k 0.7× 1.6k 0.7× 3.8k 2.3× 109 37.4k
Catherine A. Ball United States 29 25.2k 1.5× 4.6k 0.7× 3.7k 0.7× 1.7k 0.7× 3.6k 2.2× 48 35.3k
Steven J.M. Jones Canada 94 20.9k 1.2× 5.8k 0.9× 6.7k 1.2× 3.1k 1.3× 3.0k 1.8× 540 38.4k
Judith A. Blake United States 48 26.4k 1.5× 4.9k 0.8× 3.7k 0.7× 1.7k 0.7× 3.7k 2.2× 137 36.9k
Joel E. Richardson United States 35 24.3k 1.4× 4.6k 0.7× 3.6k 0.6× 1.6k 0.7× 3.5k 2.1× 81 34.7k
J. Michael Cherry United States 35 29.4k 1.7× 5.4k 0.8× 4.9k 0.9× 1.7k 0.7× 4.0k 2.4× 95 40.4k
David P. Hill United States 28 23.6k 1.4× 4.1k 0.6× 3.6k 0.7× 1.6k 0.7× 3.4k 2.0× 55 33.3k
Martin Ringwald United States 29 24.5k 1.4× 4.2k 0.7× 3.5k 0.6× 1.5k 0.7× 3.4k 2.1× 57 33.8k
Andrew Kasarskis United States 31 22.8k 1.3× 4.3k 0.7× 3.5k 0.6× 1.7k 0.7× 3.4k 2.1× 80 33.9k

Countries citing papers authored by Webb Miller

Since Specialization
Citations

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

Fields of papers citing papers by Webb Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Webb Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Webb Miller. A scholar is included among the top collaborators of Webb Miller 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 Webb Miller. Webb Miller 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.
Marciniak, Stephanie, Mehreen R. Mughal, Laurie R. Godfrey, et al.. (2020). Evolutionary and phylogenetic insights from a nuclear genome of the extinct giant koala lemur Megaladapis edwardsi. 1 indexed citations
2.
Kitchen, Sheila A., Aakrosh Ratan, Oscar C. Bedoya-Reina, et al.. (2019). Genomic Variants Among Threatened Acropora Corals. G3 Genes Genomes Genetics. 9(5). 1633–1646. 29 indexed citations
3.
Kim, Sun K., Katelyn Mika, Aakrosh Ratan, et al.. (2019). Functional Architecture of Deleterious Genetic Variants in the Genome of a Wrangel Island Mammoth. Genome Biology and Evolution. 12(3). 48–58. 6 indexed citations
4.
Ryder, Oliver A., Webb Miller, Katherine Ralls, et al.. (2016). Whole genome sequencing of California condors is now utilized for guiding genetic management. Kent Academic Repository (University of Kent). 5 indexed citations
5.
Perry, George, Logan Kistler, Laurie R. Godfrey, et al.. (2015). Nuclear genome sequences from the extinct subfossil lemurs Palaeopropithecus ingens and Megaladapis edwardsi. 2 indexed citations
6.
Miller, Webb, Stephen J. Wright, Yu Zhang, Stephan C. Schuster, & Vanessa M. Hayes. (2010). Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species.. 43–53. 1 indexed citations
7.
Lindqvist, Charlotte, Stephan C. Schuster, Yazhou Sun, et al.. (2010). Complete mitochondrial genome of a Pleistocene jawbone unveils the origin of polar bear. Proceedings of the National Academy of Sciences. 107(11). 5053–5057. 113 indexed citations
8.
Cheng, Yong, David King, Louis C. Doré, et al.. (2008). Transcriptional enhancement by GATA1-occupied DNA segments is strongly associated with evolutionary constraint on the binding site motif. Genome Research. 18(12). 1896–1905. 27 indexed citations
9.
Shen, Jian, et al.. (2007). Approximating the spanning star forest problem and its applications to genomic sequence alignment. Symposium on Discrete Algorithms. 645–654. 6 indexed citations
10.
Murphy, William J., et al.. (2007). Using genomic data to unravel the root of the placental mammal phylogeny. Genome Research. 17(4). 413–421. 341 indexed citations
11.
Miller, Webb. (2006). An Introduction to Bioinformatics Algorithms. Neil C. Jones and Pavel A. Pevzner. RePEc: Research Papers in Economics. 101. 855–855. 4 indexed citations
12.
Poinar, Hendrik N., C. Schwarz, Ji Qi, et al.. (2005). Metagenomics to Paleogenomics: Large-Scale Sequencing of Mammoth DNA. Science. 311(5759). 392–394. 406 indexed citations
13.
Rijnkels, Monique, Laura Elnitski, Webb Miller, & Jeffrey M. Rosen. (2003). Multispecies comparative analysis of a mammalian-specific genomic domain encoding secretory proteins. Genomics. 82(4). 417–432. 68 indexed citations
14.
Vingron, Martin, Sorin Istrail, Pavel A. Pevzner, Michael S. Waterman, & Webb Miller. (2003). Proceedings of the seventh annual international conference on Research in computational molecular biology. 5 indexed citations
15.
Myers, Gene & Webb Miller. (1995). Chaining multiple-alignment fragments in sub-quadratic time. Symposium on Discrete Algorithms. 38–47. 20 indexed citations
17.
Huang, Xiaoqiu, Webb Miller, Scott Schwartz, & Ross C. Hardison. (1992). Parallelization of a local similarity algorithm. Computer applications in the biosciences. 8(2). 155–165. 24 indexed citations
18.
Huang, Xiaoqiu & Webb Miller. (1991). A time-efficient, linear-space local similarity algorithm. Advances in Applied Mathematics. 12(3). 337–357. 827 indexed citations breakdown →
19.
Miller, Webb. (1987). A software tools sampler. Prentice-Hall, Inc eBooks. 8 indexed citations
20.
Miller, Webb, et al.. (1972). Error analysis of a five-station P-wave location technique. Bulletin of the Seismological Society of America. 62(4). 1073–1077. 2 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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