Martin Krzywinski

35.3k total citations · 7 hit papers
119 papers, 17.8k citations indexed

About

Martin Krzywinski is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Martin Krzywinski has authored 119 papers receiving a total of 17.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Artificial Intelligence and 17 papers in Statistics and Probability. Recurrent topics in Martin Krzywinski's work include Statistical Methods and Applications (10 papers), Genomics and Phylogenetic Studies (7 papers) and Advanced Statistical Methods and Models (7 papers). Martin Krzywinski is often cited by papers focused on Statistical Methods and Applications (10 papers), Genomics and Phylogenetic Studies (7 papers) and Advanced Statistical Methods and Models (7 papers). Martin Krzywinski collaborates with scholars based in Canada, United States and Germany. Martin Krzywinski's co-authors include Naomi Altman, Marco A. Marra, Steven J.M. Jones, İnanç Birol, Jacqueline E. Schein, Randy D. Gascoyne, Joseph M. Connors, Doug Horsman, Jake Lever and Danilo Bzdok and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Martin Krzywinski

115 papers receiving 17.5k citations

Hit Papers

Circos: An information ae... 2009 2026 2014 2020 2009 2011 2018 2017 2016 2.5k 5.0k 7.5k
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.

  1. Circos: An information aesthetic for comparative genomics
    2009 7.8k citations Martin Krzywinski, Jacqueline E. Schein et al. Genome Research profile →
  2. Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma
    2011 1.5k citations Mauro Castellarin, Robin M. Warren et al. Genome Research profile →
  3. Statistics versus machine learning
    2018 949 citations Naomi Altman, Martin Krzywinski et al. Nature Methods profile →
  4. Principal component analysis
    2017 943 citations Jake Lever, Martin Krzywinski et al. Nature Methods profile →
  5. Model selection and overfitting
    2016 469 citations Jake Lever, Martin Krzywinski et al. Nature Methods profile →
  6. Visualizing samples with box plots
    2014 427 citations Martin Krzywinski, Naomi Altman Nature Methods profile →
  7. The curse(s) of dimensionality
    2018 266 citations Naomi Altman, Martin Krzywinski Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Krzywinski Canada 48 7.3k 3.6k 1.8k 1.2k 1.0k 119 17.8k
Ole Winther Denmark 47 6.4k 0.9× 1.8k 0.5× 885 0.5× 950 0.8× 1.3k 1.3× 205 13.4k
Tommaso Cai Italy 69 3.8k 0.5× 3.4k 0.9× 1.1k 0.6× 551 0.4× 2.1k 2.0× 580 23.6k
James Ostell United States 28 11.1k 1.5× 3.0k 0.8× 2.1k 1.1× 4.0k 3.2× 451 0.4× 36 19.9k
Thomas Lengauer Germany 67 13.5k 1.9× 1.3k 0.4× 2.3k 1.3× 970 0.8× 1.5k 1.5× 360 25.8k
Zhang Zhang China 53 7.2k 1.0× 2.8k 0.8× 1.4k 0.8× 753 0.6× 312 0.3× 357 12.4k
John D. Storey United States 40 15.2k 2.1× 2.0k 0.6× 5.5k 3.0× 885 0.7× 735 0.7× 83 26.0k
D. A. Benson United States 32 7.7k 1.1× 2.1k 0.6× 1.9k 1.1× 2.4k 2.0× 347 0.3× 40 15.7k
David R. Cox United States 66 9.3k 1.3× 2.2k 0.6× 6.2k 3.4× 1.3k 1.0× 1.4k 1.4× 189 30.1k
Andrew Kasarskis United States 31 22.8k 3.1× 3.5k 1.0× 4.3k 2.4× 1.7k 1.3× 1.5k 1.5× 80 33.9k
David P. Hill United States 28 23.6k 3.2× 3.6k 1.0× 4.1k 2.3× 1.6k 1.3× 1.8k 1.8× 55 33.3k

Countries citing papers authored by Martin Krzywinski

Since Specialization
Citations

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

Fields of papers citing papers by Martin Krzywinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Krzywinski

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

All Works

20 of 20 papers shown
1.
Megahed, Fadel M., Ying‐Ju Chen, L. Allison Jones‐Farmer, et al.. (2024). Comparing classifier performance with baselines. Nature Methods. 21(4). 546–548. 1 indexed citations
2.
Finke, Niko, et al.. (2023). Genome-resolved correlation mapping links microbial community structure to metabolic interactions driving methane production from wastewater. Nature Communications. 14(1). 5380–5380. 9 indexed citations
3.
Dey, Tanujit, Stuart R. Lipsitz, Zara Cooper, et al.. (2022). Survival analysis—time-to-event data and censoring. Nature Methods. 19(8). 906–908. 15 indexed citations
4.
Bjørnstad, Ottar N., Katriona Shea, Martin Krzywinski, & Naomi Altman. (2020). The SEIRS model for infectious disease dynamics. Nature Methods. 17(6). 557–558. 128 indexed citations
5.
Greco, Luca, George Luta, Martin Krzywinski, & Naomi Altman. (2019). Analyzing outliers: robust methods to the rescue. Nature Methods. 16(4). 275–276. 17 indexed citations
6.
Altman, Naomi & Martin Krzywinski. (2018). Predicting with confidence and tolerance. Nature Methods. 15(11). 843–845. 6 indexed citations
7.
Albuquerque, Marco, Bruno M. Grande, Elie Ritch, et al.. (2017). Enhancing knowledge discovery from cancer genomics data with Galaxy. GigaScience. 6(5). 1–13. 5 indexed citations
8.
Lever, Jake, Martin Krzywinski, & Naomi Altman. (2016). Model selection and overfitting. Nature Methods. 13(9). 703–704. 469 indexed citations breakdown →
9.
Honaas, Loren, Naomi Altman, & Martin Krzywinski. (2016). Study Design for Sequencing Studies. Methods in molecular biology. 1418. 39–66. 9 indexed citations
10.
Krzywinski, Martin. (2016). Visualizing Clonal Evolution in Cancer. Molecular Cell. 62(5). 652–656. 10 indexed citations
11.
Hunnicutt, Barbara J. & Martin Krzywinski. (2015). Pathways. Nature Methods. 13(1). 5–5. 3 indexed citations
12.
Puga, Jorge López, Martin Krzywinski, & Naomi Altman. (2015). Bayesian networks. Nature Methods. 12(9). 799–800. 47 indexed citations
13.
Martino, Michela de, Dazhong Zhuang, Tobias Klatte, et al.. (2014). Impact ofERBB2mutations on in vitro sensitivity of bladder cancer to lapatinib. Cancer Biology & Therapy. 15(9). 1239–1247. 29 indexed citations
14.
Ray, William C., Brandon J. Sullivan, Thomas J. Magliery, et al.. (2014). Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests. BMC Proceedings. 8(S2). S1–S1. 3 indexed citations
15.
Altschul, Stephen F., Barry Demchak, Richard Durbin, et al.. (2013). The anatomy of successful computational biology software. Nature Biotechnology. 31(10). 894–897. 18 indexed citations
16.
Castellarin, Mauro, Robin M. Warren, Jamie Freeman, et al.. (2011). Fusobacterium nucleatum infection is prevalent in human colorectal carcinoma. Genome Research. 22(2). 299–306. 1480 indexed citations breakdown →
17.
Pugh, Trevor J., Mira Keyes, Lorena Barclay, et al.. (2009). Sequence Variant Discovery in DNA Repair Genes from Radiosensitive and Radiotolerant Prostate Brachytherapy Patients. Clinical Cancer Research. 15(15). 5008–5016. 37 indexed citations
18.
Krzywinski, Martin & Yaron S.N. Butterfield. (2003). Sequencing the SARS virus. Linux journal. 2003(115). 3.
19.
Fuhrmann, Daniel R., Martin Krzywinski, Readman Chiu, et al.. (2003). Software for Automated Analysis of DNA Fingerprinting Gels. Genome Research. 13(5). 940–953. 19 indexed citations
20.
Krzywinski, Martin. (2001). Picking Cluster Parts: Cluster Construction at the Genome Sequence Centre.. 26. 1 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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