Webb Miller

94.6k citations
10 papers · 76.7k indexed · 1 hit paper · h-index 10

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
  • Endocrinology top 0.05%

Papers in

    • Genomics and Phylogenetic Studies 6
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 1
    • Machine Learning in Bioinformatics 1
    • DNA and Biological Computing 1

Webb Miller

10 papers receiving 74.7k citations

Hit Papers

Basic local alignment search tool 1990 · 75.8k citations
75.8k199020262002201425.0k50.0k75.0k

Peers

Webb Miller
Comparison fields: 5 of 215
  • Molecular Biology 43.9k
  • Endocrinology 3.0k
  • Ecology 13.5k
  • Plant Science 17.6k
  • Parasitology 2.6k
Replace Warren Gish with:
Warren Gish United States
Eugene W. Myers United States
David J. Lipman United States
Gunnar von Heijne Sweden
Sean R. Eddy United States
Toby J. Gibson Germany
Prescott L. Deininger United States
Desmond G. Higgins Ireland
Rodrigo López United Kingdom
Peer Bork Germany
Webb Miller relative to Warren Gish United States Warren Gish's profile →
Citations per field
00.5×1.5×
Warren Gish · 1×
Citations per year

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

The 25 scholars most cited alongside Webb Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Webb Miller Line = papers co-authored together Webb Miller links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200062
2 199912
3 1997499
4 199325
5 199318
6 199276
7 199129
8 199127
9
Basic local alignment search tool
Hit paper breakdown →
199075840
10 199066

About Webb Miller

Webb Miller is a scholar working on Microbiology, Molecular Biology, Artificial Intelligence, Genetics and Oceanography, having authored 10 papers that have together received 76.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), Algorithms and Data Compression (3 papers), Chromosomal and Genetic Variations (2 papers), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Molecular Biology (43.9k citations), Endocrinology (3.0k citations), Ecology (13.5k citations), Plant Science (17.6k citations) and Parasitology (2.6k citations). Webb Miller has collaborated with scholars based in United States and Germany. Frequent co-authors include Eugene W. Myers, Warren Gish, David J. Lipman, Stephen F. Altschul, William R. Pearson, Zheng Zhang, Todd Wood, Ross C. Hardison, Udi Manber and Sun Wu. Their work appears in journals such as Journal of Molecular Biology, Computer applications in the biosciences, Gene, Nucleic Acids Research and Development Genes and Evolution.

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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