Kevin Bleakley

3.0k total citations · 2 hit papers
20 papers, 1.8k citations indexed

About

Kevin Bleakley is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Kevin Bleakley has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Biophysics. Recurrent topics in Kevin Bleakley's work include Bioinformatics and Genomic Networks (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Computational Drug Discovery Methods (2 papers). Kevin Bleakley is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Computational Drug Discovery Methods (2 papers). Kevin Bleakley collaborates with scholars based in France, Cambodia and United Kingdom. Kevin Bleakley's co-authors include Yoshihiro Yamanishi, Emmanuel Barillot, Olivier Delattre, Valentina Boeva, Isabelle Janoueix‐Lerosey, Jean‐Philippe Vert, Tatiana Popova, Gudrun Schleiermacher, Pierre Chiche and Julie Cappo and has published in prestigious journals such as Bioinformatics, Nature Methods and Clinical Cancer Research.

In The Last Decade

Kevin Bleakley

20 papers receiving 1.8k citations

Hit Papers

Control-FREEC: a tool for... 2009 2026 2014 2020 2011 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Bleakley France 13 1.1k 477 434 405 173 20 1.8k
Patrick Kemmeren Netherlands 26 2.8k 2.4× 217 0.5× 368 0.8× 249 0.6× 283 1.6× 55 3.3k
Astrid Lægreid Norway 28 2.1k 1.9× 268 0.6× 248 0.6× 311 0.8× 236 1.4× 75 3.1k
Rainer König Germany 29 2.3k 2.0× 122 0.3× 630 1.5× 487 1.2× 238 1.4× 76 3.2k
Jens Lagergren Sweden 27 1.9k 1.7× 503 1.1× 729 1.7× 437 1.1× 219 1.3× 75 2.9k
Teresa Reguly Canada 7 2.6k 2.3× 445 0.9× 222 0.5× 127 0.3× 88 0.5× 8 2.9k
Lorenz Wernisch United Kingdom 30 1.8k 1.6× 146 0.3× 276 0.6× 243 0.6× 127 0.7× 81 2.9k
Guanming Wu United States 23 3.1k 2.7× 404 0.8× 320 0.7× 682 1.7× 417 2.4× 46 3.9k
Julio Vera Germany 31 2.2k 1.9× 200 0.4× 163 0.4× 954 2.4× 399 2.3× 138 3.2k
Mario Niepel United States 25 2.6k 2.3× 497 1.0× 140 0.3× 277 0.7× 591 3.4× 42 3.4k
Andrew Winter United Kingdom 11 1.7k 1.5× 296 0.6× 179 0.4× 150 0.4× 121 0.7× 17 2.0k

Countries citing papers authored by Kevin Bleakley

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Bleakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Bleakley

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Bleakley. A scholar is included among the top collaborators of Kevin Bleakley 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 Kevin Bleakley. Kevin Bleakley 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.
Bleakley, Kevin, et al.. (2020). Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells. Journal of Visualized Experiments. 1 indexed citations
2.
Dussart, Philippe, Veasna Duong, Kevin Bleakley, et al.. (2020). Comparison of dengue case classification schemes and evaluation of biological changes in different dengue clinical patterns in a longitudinal follow-up of hospitalized children in Cambodia. PLoS neglected tropical diseases. 14(9). e0008603–e0008603. 16 indexed citations
3.
Bleakley, Kevin, et al.. (2020). Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells. Journal of Visualized Experiments. 1 indexed citations
4.
Bost, Pierre, Isabelle Casadémont, Veasna Duong, et al.. (2018). A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival. The Journal of Infectious Diseases. 217(11). 1690–1698. 18 indexed citations
5.
Billan, Florian Le, Larbi Amazit, Kevin Bleakley, et al.. (2018). Corticosteroid receptors adopt distinct cyclical transcriptional signatures. The FASEB Journal. 32(10). 5626–5639. 23 indexed citations
7.
Bleakley, Kevin, et al.. (2014). Joint modelling of longitudinal and repeated time-to-event data using nonlinear mixed-effects models and the stochastic approximation expectation–maximization algorithm. Journal of Statistical Computation and Simulation. 85(8). 1512–1528. 20 indexed citations
8.
Servant, Nicolas, Marc A. Bollet, Hans Halfwerk, et al.. (2012). Search for a Gene Expression Signature of Breast Cancer Local Recurrence in Young Women. Clinical Cancer Research. 18(6). 1704–1715. 55 indexed citations
9.
Lavielle, Marc & Kevin Bleakley. (2011). Automatic data binning for improved visual diagnosis of pharmacometric models. Journal of Pharmacokinetics and Pharmacodynamics. 38(6). 861–871. 10 indexed citations
10.
Bleakley, Kevin & May Stinson. (2011). Complementary and alternative therapies: do they improve quality of life for women with breast cancer?. Physical Therapy Reviews. 16(2). 96–105. 4 indexed citations
11.
Boeva, Valentina, Tatiana Popova, Kevin Bleakley, et al.. (2011). Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data. Bioinformatics. 28(3). 423–425. 623 indexed citations breakdown →
12.
Boeva, Valentina, Andreï Zinovyev, Kevin Bleakley, et al.. (2010). Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinformatics. 27(2). 268–269. 182 indexed citations
13.
Schauer, Kristine, Tarn Duong, Kevin Bleakley, et al.. (2010). Probabilistic density maps to study global endomembrane organization. Nature Methods. 7(7). 560–566. 66 indexed citations
14.
Vert, Jean‐Philippe & Kevin Bleakley. (2010). Fast detection of multiple change-points shared by many signals using group LARS. 23. 2343–2351. 43 indexed citations
15.
Austerlitz, Frédéric, Olivier David, Brigitte Schaeffer, et al.. (2009). DNA barcode analysis: a comparison of phylogenetic and statistical classification methods. BMC Bioinformatics. 10(S14). S10–S10. 128 indexed citations
16.
Bleakley, Kevin & Yoshihiro Yamanishi. (2009). Supervised prediction of drug–target interactions using bipartite local models. Bioinformatics. 25(18). 2397–2403. 484 indexed citations breakdown →
17.
Biau, Gérard, et al.. (2009). Nonparametric sequential prediction of time series. Journal of nonparametric statistics. 22(3). 297–317. 8 indexed citations
18.
Bleakley, Kevin, Gérard Biau, & Jean‐Philippe Vert. (2007). Supervised reconstruction of biological networks with local models. Bioinformatics. 23(13). i57–i65. 77 indexed citations
19.
Bleakley, Kevin, Véronique Giudicelli, Yan Wu, Marie‐Paule Lefranc, & Gérard Biau. (2006). IMGT Standardization for Statistical Analyses of T Cell Receptor Junctions: The TRAV-TRAJ Example. In Silico Biology. 6(6). 573–588. 11 indexed citations
20.
Biau, Gérard & Kevin Bleakley. (2006). Statistical inference on graphs. 24(2). 209–232. 12 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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