Mathilde Di Filippo
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Co-authors
- Agnès SassolasNoël PerettiAlain LachauxPhilippe MoulinSybil CharrièreÉmile LévyClaude RoyColette Deslandres
- Topics
- Lipid metabolism and disorders (20 papers)Lipoproteins and Cardiovascular Health (18 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Mathilde Di Filippo
43 papers receiving 763 citations
Peers
Comparison fields: 5 of 78
- Surgery 323
- Cardiology and Cardiovascular Medicine 284
- Molecular Biology 243
- Endocrinology, Diabetes and Metabolism 195
- Cancer Research 144
Countries citing papers authored by Mathilde Di Filippo
This map shows the geographic impact of Mathilde Di Filippo'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 Mathilde Di Filippo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Di Filippo more than expected).
Fields of papers citing papers by Mathilde Di Filippo
This network shows the impact of papers produced by Mathilde Di Filippo. 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 Mathilde Di Filippo. The network helps show where Mathilde Di Filippo may publish in the future.
Co-authorship network of co-authors of Mathilde Di Filippo
This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Di Filippo. A scholar is included among the top collaborators of Mathilde Di Filippo 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 Mathilde Di Filippo. Mathilde Di Filippo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 23 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | 13 | |
| 17 | 84 | |
| 18 | 64 | |
| 19 | 25 | |
| 20 | 5 |
About Mathilde Di Filippo
Mathilde Di Filippo is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 47 papers that have together received 774 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (20 papers), Lipoproteins and Cardiovascular Health (18 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (284 citations), Endocrinology, Diabetes and Metabolism (195 citations) and Cancer Research (144 citations). Mathilde Di Filippo has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Agnès Sassolas, Noël Peretti, Alain Lachaux, Philippe Moulin, Sybil Charrière, Émile Lévy, Claude Roy, Colette Deslandres, Christophe Marçais and Jean‐Pierre Rabès. Their work appears in journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism 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.