Guy Bottu
Impact in
- Genetics top 10%
- Diabetes and associated disorders
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- Diabetes Management and Research
Papers in
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- Trypanosoma species research and implications 2
- Respiratory viral infections research 2
- Influenza Virus Research Studies 2
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- RNA modifications and cancer 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Decio Laks Eizirik (3 shared papers)Mark I. McCarthy (2 shared papers)Michael Sammeth (3 shared papers)Izortze Santín (2 shared papers)MIRIAM CNOP (2 shared papers)Piero Marchetti (3 shared papers)Lorella Marselli (3 shared papers)Mariana Igoillo‐Esteve (2 shared papers)
- Journals
- eLife (2 papers)BMC Bioinformatics (2 papers)Diabetologia (1 paper)Archives of Physiology and Biochemistry (1 paper)Microbiological Research (1 paper)
- Partner nations
- BelgiumFranceUnited Kingdom
In The Last Decade
Guy Bottu
13 papers receiving 728 citations
Guy Bottu's Hit Papers
Peers
Comparison fields: 5 of 68
- Genetics 299
- Endocrinology, Diabetes and Metabolism 166
- Surgery 404
- Cell Biology 83
- Physiology 20
Countries citing papers authored by Guy Bottu
This map shows the geographic impact of Guy Bottu'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 Guy Bottu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Bottu more than expected).
Fields of papers citing papers by Guy Bottu
This network shows the impact of papers produced by Guy Bottu. 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 Guy Bottu. The network helps show where Guy Bottu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Bottu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Human Pancreatic Islet Transcriptome: Expression of Candidate Genes for Type 1 Diabetes and the Impact of Pro-Inflammatory Cytokines Hit paper breakdown → | 2012 | 397 |
| 2 | 2013 | 230 | |
| 3 | 2015 | 31 | |
| 4 | 2006 | 31 | |
| 5 | 1999 | 20 | |
| 6 | EMBOSS User's Guide: Practical Bioinformatics | 2011 | 12 |
| 7 | 2023 | 7 | |
| 8 | 2017 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2009 | 2 | |
| 11 | The role of cations and the tRNA 3' terminal end in the activity of Escherichia coli arginyl-tRNA synthetase | 1983 | 1 |
| 12 | RNA-sequencing identifies dysregulation of the human pancreatic islet transcriptome by the saturated fatty acid palmitate | 2012 | 1 |
| 13 | 2024 | 1 |
About Guy Bottu
Guy Bottu is a scholar working on Epidemiology, Molecular Biology, Genetics, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 739 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), RNA modifications and cancer (2 papers), Trypanosoma species research and implications (2 papers), Respiratory viral infections research (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Influenza Virus Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Genetics (299 citations), Endocrinology, Diabetes and Metabolism (166 citations), Surgery (404 citations), Cell Biology (83 citations) and Physiology (20 citations). Guy Bottu has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Decio Laks Eizirik, Mark I. McCarthy, Michael Sammeth, Izortze Santín, MIRIAM CNOP, Piero Marchetti, Lorella Marselli, Mariana Igoillo‐Esteve, Fernanda Ortis and Luc Bouwens. Their work appears in journals such as eLife, BMC Bioinformatics, Diabetologia, Archives of Physiology and Biochemistry and Microbiological 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.