Sandra Lecat
Impact in
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- Neuropeptides and Animal Physiology
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Neuropeptides and Animal Physiology 8
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- Receptor Mechanisms and Signaling 16
- S100 Proteins and Annexins 3
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Kai Simons (4 shared papers)Frank Lafont (4 shared papers)Paul Verkade (3 shared papers)Jean‐Luc Galzi (11 shared papers)Bernard Bucher (6 shared papers)Yves Mély (4 shared papers)Hans W. D. Matthes (5 shared papers)Muriel Hachet‐Haas (5 shared papers)
In The Last Decade
Sandra Lecat
25 papers receiving 953 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 226
- Cell Biology 190
- Molecular Biology 730
- Immunology 132
- Endocrine and Autonomic Systems 30
Countries citing papers authored by Sandra Lecat
This map shows the geographic impact of Sandra Lecat'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 Sandra Lecat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Lecat more than expected).
Fields of papers citing papers by Sandra Lecat
This network shows the impact of papers produced by Sandra Lecat. 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 Sandra Lecat. The network helps show where Sandra Lecat may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Lecat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 160 | |
| 2 | 2000 | 123 | |
| 3 | 2002 | 107 | |
| 4 | 2008 | 85 | |
| 5 | 2006 | 72 | |
| 6 | 2002 | 46 | |
| 7 | 2000 | 43 | |
| 8 | 2004 | 41 | |
| 9 | 2003 | 41 | |
| 10 | 2000 | 37 | |
| 11 | 2013 | 31 | |
| 12 | 2007 | 29 | |
| 13 | 2010 | 27 | |
| 14 | 1995 | 26 | |
| 15 | 2015 | 25 | |
| 16 | 2015 | 19 | |
| 17 | 2020 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2010 | 8 |
About Sandra Lecat
Sandra Lecat is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 26 papers that have together received 976 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Renin-Angiotensin System Studies (3 papers), S100 Proteins and Annexins (3 papers), Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Pharmacological Effects and Assays (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (226 citations), Cell Biology (190 citations), Molecular Biology (730 citations), Immunology (132 citations) and Endocrine and Autonomic Systems (30 citations). Sandra Lecat has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Kai Simons, Frank Lafont, Paul Verkade, Jean‐Luc Galzi, Bernard Bucher, Yves Mély, Hans W. D. Matthes, Muriel Hachet‐Haas, Pamela J. Plant and Daniela Rotin. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Cellular Signalling, Journal of Cell Science and The Journal of Cell Biology.
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.