Nathalie Bonello‐Palot
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Genetics top 10%
- Cell Biology
- Co-authors
- Nicolas LévyB. ChabrolCatherine BadensFrançoise Dignat‐GeorgeAnnie VerschuerenAnnabelle ChaussenotJean PougetKonstantina Fragaki
- Topics
- Hereditary Neurological Disorders (15 papers)Hemoglobinopathies and Related Disorders (11 papers)Genetic Neurodegenerative Diseases (10 papers)
- Partner nations
- FranceSpainSwitzerland
In The Last Decade
Nathalie Bonello‐Palot
40 papers receiving 842 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 357
- Cellular and Molecular Neuroscience 250
- Cardiology and Cardiovascular Medicine 200
- Genetics 117
- Cell Biology 104
Countries citing papers authored by Nathalie Bonello‐Palot
This map shows the geographic impact of Nathalie Bonello‐Palot'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 Nathalie Bonello‐Palot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Bonello‐Palot more than expected).
Fields of papers citing papers by Nathalie Bonello‐Palot
This network shows the impact of papers produced by Nathalie Bonello‐Palot. 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 Nathalie Bonello‐Palot. The network helps show where Nathalie Bonello‐Palot may publish in the future.
Co-authorship network of co-authors of Nathalie Bonello‐Palot
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Bonello‐Palot. A scholar is included among the top collaborators of Nathalie Bonello‐Palot 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 Nathalie Bonello‐Palot. Nathalie Bonello‐Palot 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 40 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 27 | |
| 17 | 93 | |
| 18 | 8 | |
| 19 | 16 | |
| 20 | 68 |
About Nathalie Bonello‐Palot
Nathalie Bonello‐Palot is a scholar working on Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 42 papers that have together received 859 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (15 papers), Hemoglobinopathies and Related Disorders (11 papers) and Genetic Neurodegenerative Diseases (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (250 citations), Internal Medicine (48 citations) and Clinical Biochemistry (83 citations). Nathalie Bonello‐Palot has collaborated with scholars based in France, Spain and Switzerland. Frequent co-authors include Nicolas Lévy, B. Chabrol, Catherine Badens, Françoise Dignat‐George, Annie Verschueren, Annabelle Chaussenot, Jean Pouget, Konstantina Fragaki, Véronique Paquis‐Flucklinger and Sebastien Arméro. Their work appears in journals such as Journal of the American College of Cardiology, Brain and Scientific Reports.
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.