Laurie Daniell
- Cell Biology top 0.2%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Surgery
- Co-authors
- Pietro De CamilliKohji TakeiOlaf MundiglMarkus R. WenkOttavio CremonaGilbert Di PaoloYasuo NemotoRichard A. Flavell
- Topics
- Cellular transport and secretion (18 papers)Lipid Membrane Structure and Behavior (10 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Partner nations
- United StatesItalyBulgaria
In The Last Decade
Laurie Daniell
21 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cell Biology 2.6k
- Molecular Biology 2.5k
- Cellular and Molecular Neuroscience 1.0k
- Physiology 503
- Surgery 203
Countries citing papers authored by Laurie Daniell
This map shows the geographic impact of Laurie Daniell'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 Laurie Daniell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurie Daniell more than expected).
Fields of papers citing papers by Laurie Daniell
This network shows the impact of papers produced by Laurie Daniell. 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 Laurie Daniell. The network helps show where Laurie Daniell may publish in the future.
Co-authorship network of co-authors of Laurie Daniell
This figure shows the co-authorship network connecting the top 25 collaborators of Laurie Daniell. A scholar is included among the top collaborators of Laurie Daniell 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 Laurie Daniell. Laurie Daniell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 184 | |
| 3 | 95 | |
| 4 | 198 | |
| 5 | 55 | |
| 6 | 60 | |
| 7 | 42 | |
| 8 | 43 | |
| 9 | 304 | |
| 10 | Essential Role of Phosphoinositide Metabolism in Synaptic Vesicle Recyclingbreakdown → | 656 |
| 11 | 98 | |
| 12 | Disruption of three phosphatidylinositol-polyphosphate 5-phosphatase genes from Saccharomyces cerevisiae results in pleiotropic abnormalities of vacuole morphology, cell shape, and osmohomeostasis. | 81 |
| 13 | 205 | |
| 14 | 92 | |
| 15 | 334 | |
| 16 | 243 | |
| 17 | 172 | |
| 18 | 139 | |
| 19 | 123 | |
| 20 | 4 |
About Laurie Daniell
Laurie Daniell is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Aging, having authored 21 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Lipid Membrane Structure and Behavior (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cell Biology (2.6k citations), Cellular and Molecular Neuroscience (1.0k citations) and Physiology (199 citations). Laurie Daniell has collaborated with scholars based in United States, Italy and Bulgaria. Frequent co-authors include Pietro De Camilli, Kohji Takei, Olaf Mundigl, Markus R. Wenk, Ottavio Cremona, Gilbert Di Paolo, Yasuo Nemoto, Richard A. Flavell, Warren T Kim and Anita Lüthi. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.