Michael E. Smoot
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Endocrinology top 1%
Papers in
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- Scientific Computing and Data Management 3
-
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 2
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Trey Ideker (7 shared papers)Keiichiro Ono (3 shared papers)Pengliang Wang (3 shared papers)Stefan Kurtz (1 shared paper)Steven L. Salzberg (1 shared paper)Corina M. Antonescu (1 shared paper)Adam Michael Phillippy (1 shared paper)Arthur L. Delcher (1 shared paper)
- Journals
- Bioinformatics (3 papers)Nature Protocols (2 papers)F1000Research (2 papers)Information Visualization (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Michael E. Smoot
14 papers receiving 11.8k citations
Michael E. Smoot's Hit Papers
Peers
Comparison fields: 5 of 186
- Molecular Biology 6.7k
- Endocrinology 350
- Cancer Research 902
- Plant Science 2.1k
- Genetics 1.2k
Countries citing papers authored by Michael E. Smoot
This map shows the geographic impact of Michael E. Smoot'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 E. Smoot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Smoot more than expected).
Fields of papers citing papers by Michael E. Smoot
This network shows the impact of papers produced by Michael E. Smoot. 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 E. Smoot. The network helps show where Michael E. Smoot may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Smoot, 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 | Versatile and open software for comparing large genomes Hit paper breakdown → | 2004 | 4138 |
| 2 | Cytoscape 2.8: new features for data integration and network visualization Hit paper breakdown → | 2010 | 3944 |
| 3 | Integration of biological networks and gene expression data using Cytoscape Hit paper breakdown → | 2007 | 2034 |
| 4 | A travel guide to Cytoscape plugins Hit paper breakdown → | 2012 | 1234 |
| 5 | 2009 | 264 | |
| 6 | 2014 | 162 | |
| 7 | 2008 | 53 | |
| 8 | 2011 | 41 | |
| 9 | 2011 | 19 | |
| 10 | 2014 | 14 | |
| 11 | 2012 | 11 | |
| 12 | 2010 | 11 | |
| 13 | 2004 | 8 | |
| 14 | 2005 | 5 |
About Michael E. Smoot
Michael E. Smoot is a scholar working on Information Systems and Management, Molecular Biology, Physiology, Biophysics and Artificial Intelligence, having authored 14 papers that have together received 11.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (3 papers), Scientific Computing and Data Management (3 papers), Gene Regulatory Network Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), Software Engineering Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (6.7k citations), Endocrinology (350 citations), Cancer Research (902 citations), Plant Science (2.1k citations) and Genetics (1.2k citations). Michael E. Smoot has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Trey Ideker, Keiichiro Ono, Pengliang Wang, Stefan Kurtz, Steven L. Salzberg, Corina M. Antonescu, Adam Michael Phillippy, Arthur L. Delcher, Martin F. Shumway and Gary Bader. Their work appears in journals such as Bioinformatics, Nature Protocols, F1000Research, Information Visualization and Genome biology.
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.