Thomas Madden
- Endocrinology top 0.2%
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies 18
- RNA and protein synthesis mechanisms 9
- Machine Learning in Bioinformatics 7
- Gene expression and cancer classification 6
- Ecology top 0.1%
- Molecular Medicine top 0.2%
- Plant Science top 0.1%
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- Algorithms and Data Compression 5
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- Rheology and Fluid Dynamics Studies 3
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- Advanced Proteomics Techniques and Applications 2
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- Microfluidic and Capillary Electrophoresis Applications 2
Thomas Madden
26 papers receiving 29.2k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Endocrinology 1.4k
- Molecular Biology 16.1k
- Ecology 5.9k
- Molecular Medicine 1.0k
- Plant Science 6.5k
Countries citing papers authored by Thomas Madden
This map shows the geographic impact of Thomas Madden'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 Thomas Madden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Madden more than expected).
Fields of papers citing papers by Thomas Madden
This network shows the impact of papers produced by Thomas Madden. 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 Thomas Madden. The network helps show where Thomas Madden may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Madden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2019 | 191 | |
| 3 | IgBLAST: an immunoglobulin variable domain sequence analysis toolbreakdown → | 2013 | 688 |
| 4 | BLAST: a more efficient report with usability improvementsbreakdown → | 2013 | 942 |
| 5 | Primer-BLAST: A tool to design target-specific primers for polymerase chain reactionbreakdown → | 2012 | 4428 |
| 6 | 2012 | 10 | |
| 7 | Domain enhanced lookup time accelerated BLASTbreakdown → | 2012 | 615 |
| 8 | BLAST+: architecture and applicationsbreakdown → | 2009 | 13943 |
| 9 | NCBI BLAST: a better web interfacebreakdown → | 2008 | 3009 |
| 10 | 2007 | 1 | |
| 11 | BLAST: improvements for better sequence analysisbreakdown → | 2006 | 509 |
| 12 | BLAST: at the core of a powerful and diverse set of sequence analysis toolsbreakdown → | 2004 | 1566 |
| 13 | 2003 | 30 | |
| 14 | 2000 | 8 | |
| 15 | BLAST 2 Sequences, a new tool for comparing protein and nucleotide sequencesbreakdown → | 1999 | 1530 |
| 16 | 1999 | 11 | |
| 17 | 1997 | 268 | |
| 18 | An Explanation of Japan's Product Liability Law | 1996 | 1 |
| 19 | 1996 | 336 | |
| 20 | 1989 | 113 |
About Thomas Madden
Thomas Madden is a scholar working on Fluid Flow and Transfer Processes, Molecular Biology, Artificial Intelligence, Information Systems and Management and Management of Technology and Innovation, having authored 27 papers that have together received 29.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (7 papers), Gene expression and cancer classification (6 papers), Algorithms and Data Compression (5 papers), Rheology and Fluid Dynamics Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Endocrinology (1.4k citations), Molecular Biology (16.1k citations), Ecology (5.9k citations), Molecular Medicine (1.0k citations) and Plant Science (6.5k citations). Thomas Madden has collaborated with scholars based in United States, Singapore and Ireland. Frequent co-authors include George Coulouris, Ning Ma, Scott McGinnis, Jian Ye, Tatiana Tatusova, Steve Rozen, Ioana Cutcutache, Margaret E. Johnson, Richa Agarwala and Alejandro A. Schäffer. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, The Journal of Chemical Physics, Bioinformatics and Current Protocols in Protein Science.
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.