Lydia Danglot
- Molecular Biology top 10%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Spectroscopy top 5%
- Co-authors
- Thierry GalliMayeul CollotAndrey S. KlymchenkoAntoine TrillerOrestis FaklarisKyong Tkhe FamPichandi AshokkumarMathilde Chaineau
- Topics
- Cellular transport and secretion (18 papers)Lipid Membrane Structure and Behavior (16 papers)Neuroscience and Neuropharmacology Research (10 papers)
- Cited by
- BiophysicsCell BiologyBiochemistry
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Lydia Danglot
48 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.3k
- Cell Biology 625
- Cellular and Molecular Neuroscience 601
- Materials Chemistry 293
- Spectroscopy 272
Countries citing papers authored by Lydia Danglot
This map shows the geographic impact of Lydia Danglot'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 Lydia Danglot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lydia Danglot more than expected).
Fields of papers citing papers by Lydia Danglot
This network shows the impact of papers produced by Lydia Danglot. 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 Lydia Danglot. The network helps show where Lydia Danglot may publish in the future.
Co-authorship network of co-authors of Lydia Danglot
This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Danglot. A scholar is included among the top collaborators of Lydia Danglot 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 Lydia Danglot. Lydia Danglot 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 | 2 | |
| 3 | 18 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 25 | |
| 7 | 24 | |
| 8 | 40 | |
| 9 | Ultrabright and Fluorogenic Probes for Multicolor Imaging and Tracking of Lipid Droplets in Cells and Tissuesbreakdown → | 349 |
| 10 | 125 | |
| 11 | 73 | |
| 12 | 46 | |
| 13 | 40 | |
| 14 | 64 | |
| 15 | 53 | |
| 16 | 2 | |
| 17 | 111 | |
| 18 | 53 | |
| 19 | 126 | |
| 20 | 80 |
About Lydia Danglot
Lydia Danglot is a scholar working on Biophysics, Cell Biology and Physiology, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Lipid Membrane Structure and Behavior (16 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Biophysics (260 citations), Cell Biology (625 citations) and Biochemistry (250 citations). Lydia Danglot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Thierry Galli, Mayeul Collot, Andrey S. Klymchenko, Antoine Triller, Orestis Faklaris, Kyong Tkhe Fam, Pichandi Ashokkumar, Mathilde Chaineau, Serge Marty and Alain Bessis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.