Sandra Lecat
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 15
- S100 Proteins and Annexins 3
- Protein Kinase Regulation and GTPase Signaling 2
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- Neuropeptides and Animal Physiology 7
- Co-authors
- Kai Simons (4 shared papers)Frank Lafont (4 shared papers)Paul Verkade (3 shared papers)Jean‐Luc Galzi (10 shared papers)Bernard Bucher (5 shared papers)Yves Mély (3 shared papers)Hans W. D. Matthes (4 shared papers)Muriel Hachet‐Haas (4 shared papers)
In The Last Decade
Sandra Lecat
24 papers receiving 902 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 184
- Cellular and Molecular Neuroscience 196
- Molecular Biology 678
- Immunology 127
- Endocrine and Autonomic Systems 28
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 158 | |
| 2 | 2000 | 121 | |
| 3 | 2002 | 105 | |
| 4 | 2008 | 80 | |
| 5 | 2006 | 70 | |
| 6 | 2002 | 44 | |
| 7 | 2000 | 40 | |
| 8 | 2004 | 40 | |
| 9 | 2000 | 38 | |
| 10 | 2003 | 37 | |
| 11 | 2013 | 30 | |
| 12 | 2010 | 27 | |
| 13 | 2015 | 24 | |
| 14 | 1995 | 23 | |
| 15 | 2015 | 18 | |
| 16 | 2020 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2010 | 8 | |
| 20 | 1999 | 7 |
About Sandra Lecat
Sandra Lecat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 917 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), S100 Proteins and Annexins (3 papers), Cellular transport and secretion (3 papers), Renin-Angiotensin System Studies (3 papers), Computational Drug Discovery Methods (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (184 citations), Cellular and Molecular Neuroscience (196 citations), Molecular Biology (678 citations), Immunology (127 citations) and Endocrine and Autonomic Systems (28 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, Daniela Rotin and Pamela Plant. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Analytical Biochemistry, Journal of Cell Science and Cellular Signalling.
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.