Sylvie Deborde

2.1k total citations
23 papers, 1.5k citations indexed

About

Sylvie Deborde is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sylvie Deborde has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Sylvie Deborde's work include Cancer, Stress, Anesthesia, and Immune Response (10 papers), Cellular transport and secretion (6 papers) and Nerve injury and regeneration (5 papers). Sylvie Deborde is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (10 papers), Cellular transport and secretion (6 papers) and Nerve injury and regeneration (5 papers). Sylvie Deborde collaborates with scholars based in United States, China and United Kingdom. Sylvie Deborde's co-authors include Richard J. Wong, Enrique Rodríguez-Boulan, Nicholas P. Illsley, Marc Baumann, Ryan Schreiner, Emilie Perret, Diego Gravotta, Richard L. Bakst, Shizhi He and Efsevia Vakiani and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sylvie Deborde

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sylvie Deborde United States 17 555 406 381 280 279 23 1.5k
Renaud Touraine France 25 1.1k 2.0× 194 0.5× 63 0.2× 90 0.3× 108 0.4× 93 2.0k
Grazia M.S. Mancini Netherlands 26 849 1.5× 285 0.7× 124 0.3× 55 0.2× 212 0.8× 46 1.9k
Marco Arese Italy 26 872 1.6× 187 0.5× 72 0.2× 220 0.8× 203 0.7× 53 1.6k
Brian A. Kudlow United States 20 1.3k 2.4× 149 0.4× 35 0.1× 160 0.6× 62 0.2× 35 2.1k
Masato Hoshi Japan 21 876 1.6× 117 0.3× 30 0.1× 108 0.4× 141 0.5× 43 1.6k
L.-C. Tsui Canada 20 1.5k 2.7× 147 0.4× 64 0.2× 95 0.3× 127 0.5× 33 2.4k
Dominique S. Tews Germany 21 788 1.4× 95 0.2× 32 0.1× 112 0.4× 159 0.6× 44 1.4k
Fumio Nakahara Japan 19 547 1.0× 114 0.3× 268 0.7× 259 0.9× 165 0.6× 50 1.7k
Akira Sugimoto Japan 18 424 0.8× 92 0.2× 21 0.1× 281 1.0× 283 1.0× 61 1.3k
David J. Bernard United States 18 938 1.7× 357 0.9× 26 0.1× 177 0.6× 133 0.5× 33 1.8k

Countries citing papers authored by Sylvie Deborde

Since Specialization
Citations

This map shows the geographic impact of Sylvie Deborde'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 Sylvie Deborde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Deborde more than expected).

Fields of papers citing papers by Sylvie Deborde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sylvie Deborde. 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 Sylvie Deborde. The network helps show where Sylvie Deborde may publish in the future.

Co-authorship network of co-authors of Sylvie Deborde

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Deborde. A scholar is included among the top collaborators of Sylvie Deborde 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 Sylvie Deborde. Sylvie Deborde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Katabi, Nora, Alan L. Ho, Luc G.T. Morris, et al.. (2025). Sympathetic axonogenesis promotes adenoid cystic carcinoma progression. The Journal of Experimental Medicine. 222(7). 3 indexed citations
2.
Marcadis, Andrea, et al.. (2023). Rapid cancer cell perineural invasion utilizes amoeboid migration. Proceedings of the National Academy of Sciences. 120(17). e2210735120–e2210735120. 14 indexed citations
3.
Deborde, Sylvie, Ann Powers, Andrea Marcadis, et al.. (2022). Reprogrammed Schwann Cells Organize into Dynamic Tracks that Promote Pancreatic Cancer Invasion. Cancer Discovery. 12(10). 2454–2473. 82 indexed citations
4.
Wang, Qi, et al.. (2022). Surgical Technique for Superior Cervical Ganglionectomy in a Murine Model. Journal of Visualized Experiments. 1 indexed citations
5.
Deborde, Sylvie & Richard J. Wong. (2022). The Role of Schwann Cells in Cancer. Advanced Biology. 6(9). e2200089–e2200089. 27 indexed citations
6.
Chernichenko, Natalya, Tatiana Omelchenko, Sylvie Deborde, et al.. (2020). Cdc42 Mediates Cancer Cell Chemotaxis in Perineural Invasion. Molecular Cancer Research. 18(6). 913–925. 21 indexed citations
7.
Deborde, Sylvie, Andrea Marcadis, Chun‐Hao Chen, et al.. (2018). An <em>In Vivo</em> Murine Sciatic Nerve Model of Perineural Invasion. Journal of Visualized Experiments. 18 indexed citations
8.
Bakst, Richard L., Huizhong Xiong, Chun‐Hao Chen, et al.. (2017). Inflammatory Monocytes Promote Perineural Invasion via CCL2-Mediated Recruitment and Cathepsin B Expression. Cancer Research. 77(22). 6400–6414. 89 indexed citations
9.
Deborde, Sylvie & Richard J. Wong. (2017). How Schwann cells facilitate cancer progression in nerves. Cellular and Molecular Life Sciences. 74(24). 4405–4420. 83 indexed citations
10.
He, Shizhi, Shuangba He, Chun‐Hao Chen, et al.. (2014). The Chemokine (CCL2–CCR2) Signaling Axis Mediates Perineural Invasion. Molecular Cancer Research. 13(2). 380–390. 63 indexed citations
11.
Thuenauer, Roland, Ya‐Chu Hsu, José María Carvajal-González, et al.. (2014). Four-dimensional live imaging of apical biosynthetic trafficking reveals a post-Golgi sorting role of apical endosomal intermediates. Proceedings of the National Academy of Sciences. 111(11). 4127–4132. 58 indexed citations
12.
Gravotta, Diego, José María Carvajal-González, Rafael Mattera, et al.. (2012). The Clathrin Adaptor AP-1A Mediates Basolateral Polarity. Developmental Cell. 22(4). 811–823. 128 indexed citations
13.
Castorino, John J., Sylvie Deborde, Ami A. Deora, et al.. (2010). Basolateral Sorting Signals Regulating Tissue‐Specific Polarity of Heteromeric Monocarboxylate Transporters in Epithelia. Traffic. 12(4). 483–498. 39 indexed citations
14.
Salvarezza, Susana, Sylvie Deborde, Ryan Schreiner, et al.. (2008). LIM Kinase 1 and Cofilin Regulate Actin Filament Population Required for Dynamin-dependent Apical Carrier Fission from theTrans-Golgi Network. Molecular Biology of the Cell. 20(1). 438–451. 82 indexed citations
15.
Deborde, Sylvie, Emilie Perret, Diego Gravotta, et al.. (2008). Clathrin is a key regulator of basolateral polarity. Nature. 452(7188). 719–723. 171 indexed citations
16.
Perret, Emilie, Aparna Lakkaraju, Sylvie Deborde, Ryan Schreiner, & Enrique Rodríguez-Boulan. (2005). Evolving endosomes: how many varieties and why?. Current Opinion in Cell Biology. 17(4). 423–434. 105 indexed citations
17.
Deborde, Sylvie, Julian Schofield, & T. W. Rademacher. (2003). Placental GPI-PLD is of maternal origin and its GPI substrate is absent from placentae of pregnancies associated with pre-eclampsia. Journal of Reproductive Immunology. 59(2). 277–294. 17 indexed citations
18.
Baumann, Marc, Sylvie Deborde, & Nicholas P. Illsley. (2002). Placental Glucose Transfer and Fetal Growth. Endocrine. 19(1). 13–22. 189 indexed citations
19.
Rebourcet, R., et al.. (1998). Differential Distribution of Binding Sites for 125I-Insulin-Like Growth Factor II on Trophoblast Membranes of Human Term Placenta. Biology of Reproduction. 58(1). 37–44. 11 indexed citations
20.

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.

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