Arnaud Bruneel
Impact in
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- Glycosylation and Glycoproteins Research
- Angiogenesis and VEGF in Cancer
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Glycosylation and Glycoproteins Research 26
- Physiology 11
- Erythrocyte Function and Pathophysiology 4
- Co-authors
- Bruno Baudin (9 shared papers)Michel Vaubourdolle (8 shared papers)Nelly Bosselut (2 shared papers)Agnès Mailloux (4 shared papers)Valérie Labas (5 shared papers)Joëlle Vinh (4 shared papers)Sanjiv Sharma (2 shared papers)Nathalie Séta (12 shared papers)
- Journals
- Clinica Chimica Acta (6 papers)PROTEOMICS - CLINICAL APPLICATIONS (4 papers)PROTEOMICS (3 papers)Journal of Inherited Metabolic Disease (2 papers)Brain (2 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Arnaud Bruneel
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 637
- Cancer Research 135
- Immunology 188
- Hematology 84
- Cell Biology 118
Countries citing papers authored by Arnaud Bruneel
This map shows the geographic impact of Arnaud Bruneel'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 Arnaud Bruneel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Bruneel more than expected).
Fields of papers citing papers by Arnaud Bruneel
This network shows the impact of papers produced by Arnaud Bruneel. 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 Arnaud Bruneel. The network helps show where Arnaud Bruneel may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnaud Bruneel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 394 | |
| 2 | 2003 | 83 | |
| 3 | 2017 | 78 | |
| 4 | 2014 | 77 | |
| 5 | 2001 | 74 | |
| 6 | 2005 | 64 | |
| 7 | 2013 | 36 | |
| 8 | 2018 | 35 | |
| 9 | 2004 | 33 | |
| 10 | 2003 | 30 | |
| 11 | 1999 | 25 | |
| 12 | 2018 | 25 | |
| 13 | 2022 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2015 | 22 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2007 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2018 | 15 |
About Arnaud Bruneel
Arnaud Bruneel is a scholar working on Molecular Biology, Physiology, Cell Biology, Immunology and Organic Chemistry, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (26 papers), Galectins and Cancer Biology (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Proteoglycans and glycosaminoglycans research (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Molecular Biology (637 citations), Cancer Research (135 citations), Immunology (188 citations), Hematology (84 citations) and Cell Biology (118 citations). Arnaud Bruneel has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Bruno Baudin, Michel Vaubourdolle, Nelly Bosselut, Agnès Mailloux, Valérie Labas, Joëlle Vinh, Sanjiv Sharma, Nathalie Séta, Catherine Johanet and Thierry Dupré. Their work appears in journals such as Clinica Chimica Acta, PROTEOMICS - CLINICAL APPLICATIONS, PROTEOMICS, Journal of Inherited Metabolic Disease and Brain.
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.