Céline Bugli
Impact in
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- Toxic Organic Pollutants Impact
- Mercury impact and mitigation studies
- Effects and risks of endocrine disrupting chemicals
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- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Philippe Lambert (3 shared papers)Krishna Das (2 shared papers)Jean‐François Rees (2 shared papers)Adrian Covaci (2 shared papers)Liesbeth Weijs (2 shared papers)Cathy Debier (2 shared papers)Patrick P. Pomeroy (2 shared papers)Vincent Van Pesch (5 shared papers)
- Journals
- Multiple Sclerosis Journal (2 papers)Environment International (1 paper)Biochemical and Biophysical Research Communications (1 paper)Statistics in Medicine (1 paper)Biometrical Journal (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited States
In The Last Decade
Céline Bugli
19 papers receiving 398 citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 81
- Pathology and Forensic Medicine 76
- Computational Mathematics 2
- Signal Processing 24
- Pollution 23
Countries citing papers authored by Céline Bugli
This map shows the geographic impact of Céline Bugli'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 Céline Bugli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Céline Bugli more than expected).
Fields of papers citing papers by Céline Bugli
This network shows the impact of papers produced by Céline Bugli. 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 Céline Bugli. The network helps show where Céline Bugli may publish in the future.
Co-authors
The 25 scholars most cited alongside Céline Bugli, 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 | 2013 | 68 | |
| 2 | 2012 | 57 | |
| 3 | 2006 | 55 | |
| 4 | 2023 | 50 | |
| 5 | 2012 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2024 | 27 | |
| 8 | 2005 | 20 | |
| 9 | 2006 | 20 | |
| 10 | 2017 | 16 | |
| 11 | 2005 | 13 | |
| 12 | 2024 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 0 |
About Céline Bugli
Céline Bugli is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Signal Processing, having authored 20 papers that have together received 408 indexed citations. Recurring topics across this work include Diabetes Management and Research (2 papers), Per- and polyfluoroalkyl substances research (2 papers), Blind Source Separation Techniques (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), EEG and Brain-Computer Interfaces (2 papers), Multiple Sclerosis Research Studies (2 papers), Toxic Organic Pollutants Impact (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (81 citations), Pathology and Forensic Medicine (76 citations), Computational Mathematics (2 citations), Signal Processing (24 citations) and Pollution (23 citations). Céline Bugli has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Philippe Lambert, Krishna Das, Jean‐François Rees, Adrian Covaci, Liesbeth Weijs, Cathy Debier, Patrick P. Pomeroy, Vincent Van Pesch, Pietro Maggi and Christophe Remue. Their work appears in journals such as Multiple Sclerosis Journal, Environment International, Biochemical and Biophysical Research Communications, Statistics in Medicine and Biometrical Journal.
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.