Kevin Bleakley
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Genetics top 5%
- Cancer Research top 5%
- Oncology
- Co-authors
- Yoshihiro YamanishiEmmanuel BarillotIsabelle Janoueix‐LeroseyValentina BoevaOlivier DelattreJean‐Philippe VertGudrun SchleiermacherJulie Cappo
- Topics
- Bioinformatics and Genomic Networks (4 papers)Statistical Methods and Bayesian Inference (2 papers)Computational Drug Discovery Methods (2 papers)
- Partner nations
- FranceCambodiaUnited Kingdom
In The Last Decade
Kevin Bleakley
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.1k
- Computational Theory and Mathematics 477
- Genetics 434
- Cancer Research 405
- Oncology 173
Countries citing papers authored by Kevin Bleakley
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 23 | |
| 6 | 11 | |
| 7 | 20 | |
| 8 | 55 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing databreakdown → | 623 |
| 12 | 66 | |
| 13 | 182 | |
| 14 | Fast detection of multiple change-points shared by many signals using group LARS | 43 |
| 15 | 128 | |
| 16 | Supervised prediction of drug–target interactions using bipartite local modelsbreakdown → | 484 |
| 17 | 8 | |
| 18 | 77 | |
| 19 | 11 | |
| 20 | 12 |
About Kevin Bleakley
Kevin Bleakley is a scholar working on Biophysics, Behavioral Neuroscience and Statistics and Probability, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (477 citations), Cancer Research (405 citations) and Molecular Biology (1.1k citations). Kevin Bleakley has collaborated with scholars based in France, Cambodia and United Kingdom. Frequent co-authors include Yoshihiro Yamanishi, Emmanuel Barillot, Isabelle Janoueix‐Lerosey, Valentina Boeva, Olivier Delattre, Jean‐Philippe Vert, Gudrun Schleiermacher, Julie Cappo, Pierre Chiche and Tatiana Popova. Their work appears in journals such as Bioinformatics, Nature Methods and Clinical Cancer Research.
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.