David Otasek

2.4k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

David Otasek is a scholar working on Molecular Biology, Biophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, David Otasek has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biophysics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in David Otasek's work include Bioinformatics and Genomic Networks (6 papers), Cell Image Analysis Techniques (3 papers) and Complex Network Analysis Techniques (2 papers). David Otasek is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Cell Image Analysis Techniques (3 papers) and Complex Network Analysis Techniques (2 papers). David Otasek collaborates with scholars based in Canada, United States and Italy. David Otasek's co-authors include Alexander R. Pico, John H. Morris, Barry Demchak, Jorge Bouças, Igor Jurišica, Muhammad Ali, Michael J. McGuffin, Kevin R. Brown, Yun Niu and Chiara Pastrello and has published in prestigious journals such as Bioinformatics, Biochemical and Biophysical Research Communications and Genome biology.

In The Last Decade

David Otasek

7 papers receiving 1.4k 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 Automation: empowering workflow-based network analysis

2019 1.1k citations David Otasek, John H. Morris et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Otasek Canada	7	888	232	157	136	128	7	1.4k
Jorge Bouças Germany	10	1.2k 1.3×	217 0.9×	171 1.1×	211 1.6×	134 1.0×	13	1.9k
Michael Kohl Germany	12	1.1k 1.2×	320 1.4×	192 1.2×	112 0.8×	160 1.3×	26	1.6k
Xiaohua Ma China	17	910 1.0×	277 1.2×	124 0.8×	85 0.6×	128 1.0×	41	1.6k
Huanjie Shao China	17	862 1.0×	285 1.2×	120 0.8×	158 1.2×	94 0.7×	37	1.4k
Andrew Garazha Russia	23	929 1.0×	375 1.6×	177 1.1×	118 0.9×	276 2.2×	58	1.7k
Samad Lotia United States	3	834 0.9×	202 0.9×	173 1.1×	80 0.6×	90 0.7×	3	1.3k
Iris Bahir Israel	7	1.3k 1.5×	318 1.4×	108 0.7×	173 1.3×	138 1.1×	9	2.2k
Terry R. Van Vleet United States	20	609 0.7×	161 0.7×	199 1.3×	102 0.8×	65 0.5×	35	1.5k
Jung‐Il Chae South Korea	29	1.3k 1.4×	208 0.9×	166 1.1×	172 1.3×	113 0.9×	84	2.1k
Xin Feng China	12	1.1k 1.2×	180 0.8×	203 1.3×	85 0.6×	95 0.7×	47	1.4k

Countries citing papers authored by David Otasek

Since Specialization

Citations

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

Fields of papers citing papers by David Otasek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Otasek

This figure shows the co-authorship network connecting the top 25 collaborators of David Otasek. A scholar is included among the top collaborators of David Otasek 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 David Otasek. David Otasek 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:

7 of 7 papers shown

1.

Pillich, Rudolf, Jing Chen, Christopher Churas, et al.. (2021). NDEx: Accessing Network Models and Streamlining Network Biology Workflows. Current Protocols. 1(9). e258–e258. 18 indexed citations

2.

Otasek, David, John H. Morris, Jorge Bouças, Alexander R. Pico, & Barry Demchak. (2019). Cytoscape Automation: empowering workflow-based network analysis. Genome biology. 20(1). 185–185. 1123 indexed citations breakdown →

3.

Pastrello, Chiara, Elisa Pasini, Max Kotlyar, et al.. (2014). Integration, visualization and analysis of human interactome. Biochemical and Biophysical Research Communications. 445(4). 757–773. 19 indexed citations

4.

Pastrello, Chiara, David Otasek, Kristen Fortney, et al.. (2013). Visual Data Mining of Biological Networks: One Size Does Not Fit All. PLoS Computational Biology. 9(1). e1002833–e1002833. 13 indexed citations

5.

Ali, Muhammad, et al.. (2011). NAViGaTOR: Large Scalable and Interactive Navigation and Analysis of Large Graphs. Internet Mathematics. 7(4). 314–347. 9 indexed citations

6.

Niu, Yun, David Otasek, & Igor Jurišica. (2009). Evaluation of linguistic features useful in extraction of interactions from PubMed; Application to annotating known, high-throughput and predicted interactions in I2D. Bioinformatics. 26(1). 111–119. 55 indexed citations

7.

Brown, Kevin R., et al.. (2009). NAViGaTOR: Network Analysis, Visualization and Graphing Toronto. Bioinformatics. 25(24). 3327–3329. 181 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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