Michael Smoot

15.7k total citations · 3 hit papers
11 papers, 9.1k citations indexed

About

Michael Smoot is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Michael Smoot has authored 11 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Michael Smoot's work include Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (3 papers). Michael Smoot is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (3 papers). Michael Smoot collaborates with scholars based in United States, Canada and Belgium. Michael Smoot's co-authors include Trey Ideker, Keiichiro Ono, Pengliang Wang, Steven L. Salzberg, Adam M. Phillippy, Arthur L. Delcher, Corina Antonescu, Martin Shumway, Stefan Kurtz and Gary D. Bader and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Michael Smoot

11 papers receiving 8.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cytoscape 2.8: new features for data integration and network visualization

2010 3.8k citations Michael Smoot, Keiichiro Ono et al. Bioinformatics profile →
Versatile and open software for comparing large genomes

2004 3.7k citations Stefan Kurtz, Adam M. Phillippy et al. Genome biology profile →
A travel guide to Cytoscape plugins

2012 1.1k citations Rintaro Saito, Michael Smoot et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Smoot United States	9	5.9k	2.0k	1.1k	1.1k	819	11	9.1k
Helen Cook Denmark	11	6.1k 1.0×	1.5k 0.8×	985 0.9×	1.4k 1.3×	1.1k 1.3×	14	10.9k
Martin Shumway United States	11	4.9k 0.8×	1.8k 0.9×	1.3k 1.1×	1.3k 1.2×	452 0.6×	12	7.7k
Páll Melsted Iceland	17	5.7k 1.0×	1.6k 0.8×	1.3k 1.1×	1.1k 1.0×	877 1.1×	32	9.4k
Thomas Dandekar Germany	61	8.6k 1.5×	1.8k 0.9×	1.3k 1.2×	1.8k 1.7×	608 0.7×	369	14.8k
Daniel Blankenberg United States	21	5.5k 0.9×	1.2k 0.6×	1.2k 1.1×	1.1k 1.0×	643 0.8×	50	8.7k
Penelope Coggill United States	5	5.9k 1.0×	2.7k 1.4×	1.0k 0.9×	1.3k 1.2×	455 0.6×	8	8.9k
Shujiro Okuda Japan	35	8.4k 1.4×	2.5k 1.3×	1.3k 1.2×	1.5k 1.3×	1.1k 1.3×	184	14.3k
Masumi Itoh Japan	10	5.9k 1.0×	2.4k 1.2×	934 0.8×	1.3k 1.2×	726 0.9×	20	9.4k
David Wheeler United States	25	9.9k 1.7×	1.9k 1.0×	1.9k 1.8×	1.7k 1.5×	691 0.8×	86	14.0k
Davide Heller Switzerland	5	7.7k 1.3×	1.6k 0.8×	1.2k 1.1×	1.5k 1.3×	1.4k 1.7×	6	12.3k

Countries citing papers authored by Michael Smoot

Since Specialization

Citations

This map shows the geographic impact of Michael 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 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 Smoot more than expected).

Fields of papers citing papers by Michael Smoot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Smoot

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Bark, Steven J., Jill Wegrzyn, Laurent Taupenot, et al.. (2012). The Protein Architecture of Human Secretory Vesicles Reveals Differential Regulation of Signaling Molecule Secretion by Protein Kinases. PLoS ONE. 7(8). e41134–e41134. 9 indexed citations

2.

Saito, Rintaro, Michael Smoot, Keiichiro Ono, et al.. (2012). A travel guide to Cytoscape plugins. Nature Methods. 9(11). 1069–1076. 1149 indexed citations breakdown →

3.

Srivas, Rohith, et al.. (2011). Assembling global maps of cellular function through integrative analysis of physical and genetic networks. Nature Protocols. 6(9). 1308–1323. 16 indexed citations

4.

Smoot, Michael, Keiichiro Ono, Trey Ideker, & Steven Maere. (2011). PiNGO: a Cytoscape plugin to find candidate genes in biological networks. Bioinformatics. 27(7). 1030–1031. 39 indexed citations

5.

Smoot, Michael, et al.. (2010). Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 27(3). 431–432. 3767 indexed citations breakdown →

6.

Sierk, Michael, Michael Smoot, Ellen J. Bass, & William R. Pearson. (2010). Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments. BMC Bioinformatics. 11(1). 146–146. 10 indexed citations

7.

Bradley, Robert K., Adam Roberts, Michael Smoot, et al.. (2009). Fast Statistical Alignment. PLoS Computational Biology. 5(5). e1000392–e1000392. 259 indexed citations

8.

Cline, Melissa, et al.. (2008). Exploring Biological Networks with Cytoscape Software. Current Protocols in Bioinformatics. 23(1). 8.13.1–8.13.20. 50 indexed citations

9.

Smoot, Michael, Ellen J. Bass, Stephanie Guerlain, & William R. Pearson. (2005). A System for Visualizing and Analyzing Near-Optimal Protein Sequence Alignments. Information Visualization. 4(3). 224–237. 5 indexed citations

10.

Kurtz, Stefan, Adam M. Phillippy, Arthur L. Delcher, et al.. (2004). Versatile and open software for comparing large genomes. Genome biology. 5(2). R12–R12. 3747 indexed citations breakdown →

11.

Smoot, Michael, Stephanie Guerlain, & William R. Pearson. (2004). Visualization of near-optimal sequence alignments. Bioinformatics. 20(6). 953–958. 5 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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