Gérard Escher

1.2k total citations
20 papers, 865 citations indexed

About

Gérard Escher is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Gérard Escher has authored 20 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Gérard Escher's work include Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Gérard Escher is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Gérard Escher collaborates with scholars based in Switzerland, France and United States. Gérard Escher's co-authors include Stephan Kröger, Markus A. Rüegg, U.J. McMahan, Karl Wah Keung Tsim, Lawrence S. Honig, M. J. Werle, Norbert Schönenberger, Antoine Flahault, Paolo Meda and Anne Charollais and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and The Journal of Comparative Neurology.

In The Last Decade

Gérard Escher

19 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gérard Escher Switzerland 13 554 369 267 108 53 20 865
Michel Didier France 18 761 1.4× 367 1.0× 358 1.3× 133 1.2× 43 0.8× 40 1.2k
Howard S. Moskowitz United States 11 436 0.8× 203 0.6× 309 1.2× 117 1.1× 67 1.3× 24 650
Sun-Kyung Lee South Korea 13 412 0.7× 130 0.4× 307 1.1× 113 1.0× 50 0.9× 41 965
Wolfgang Hampe Germany 22 560 1.0× 232 0.6× 218 0.8× 200 1.9× 63 1.2× 52 1.3k
Ashley A. Rowland United States 6 919 1.7× 131 0.4× 639 2.4× 234 2.2× 46 0.9× 6 1.5k
Helen McDermott United Kingdom 11 457 0.8× 134 0.4× 137 0.5× 138 1.3× 17 0.3× 22 807
Takahito Wada Japan 19 626 1.1× 97 0.3× 166 0.6× 77 0.7× 40 0.8× 77 1.1k
Elisabet Sarri Spain 16 375 0.7× 141 0.4× 176 0.7× 114 1.1× 66 1.2× 29 764
Tamar Paperna Israel 21 524 0.9× 124 0.3× 71 0.3× 55 0.5× 38 0.7× 48 1.2k
Christopher M. Bartley United States 11 400 0.7× 159 0.4× 122 0.5× 95 0.9× 20 0.4× 23 678

Countries citing papers authored by Gérard Escher

Since Specialization
Citations

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

Fields of papers citing papers by Gérard Escher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gérard Escher

This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Escher. A scholar is included among the top collaborators of Gérard Escher 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 Gérard Escher. Gérard Escher 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.
Bochud, Murielle, Margaret Chan, Arnaud Chioléro, et al.. (2024). A New Model for Ranking Schools of Public Health: The Public Health Academic Ranking. International Journal of Public Health. 69. 1606684–1606684. 1 indexed citations
2.
Castañeda, Rafael Ruiz de, Stefanie Schütte, Isabelle Bolon, et al.. (2019). Precision Global Health – The case of Ebola: a scoping review. Journal of Global Health. 9(1). 10404–10404. 27 indexed citations
3.
4.
Acunzo, David, Gérard Escher, Ole Petter Ottersen, et al.. (2018). Framing planetary health: arguing for resource-centred science. The Lancet Planetary Health. 2(3). e101–e102. 5 indexed citations
5.
Florin, Marie‐Valentine & Gérard Escher. (2017). A roadmap for the development of precision medicine. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
6.
Flahault, Antoine, Idris Guessous, Philippe J. Guérin, et al.. (2017). Precision global health in the digital age. Swiss Medical Weekly. 147(1314). w14423–w14423. 32 indexed citations
7.
Wernli, Didier, Marcel Tanner, Ilona Kickbusch, et al.. (2016). Moving global health forward in academic institutions.. SHILAP Revista de lepidopterología. 6(1). 10409–10409. 25 indexed citations
8.
Escher, Gérard, Dimitrios Noukakis, & Patrick Aebischer. (2014). Boosting Higher Education in Africa through Shared Massive Open Online Courses (MOOCs). SHILAP Revista de lepidopterología. 5. 12 indexed citations
9.
Hornung, Jean‐Pierre, et al.. (2002). Distribution of postsynaptic GABAa receptor aggregates in the deep cerebellar nuclei of normal and mutant mice. The Journal of Comparative Neurology. 447(3). 210–217. 19 indexed citations
10.
Escher, Gérard, et al.. (2001). The development of inhibitory synaptic specializations in the mouse deep cerebellar nuclei. Neuroscience. 105(2). 431–441. 23 indexed citations
11.
Miklossy, Judith, Kevin Taddei, Ralph N. Martins, et al.. (1999). Alzheimer Disease. Journal of Neuropathology & Experimental Neurology. 58(8). 803–814. 38 indexed citations
12.
Iezzi, Mariella, Gérard Escher, Paolo Meda, et al.. (1999). Subcellular Distribution and Function of Rab3A, B, C, and D Isoforms in Insulin-Secreting Cells. Molecular Endocrinology. 13(2). 202–212. 94 indexed citations
13.
Escher, Gérard, Catherine Béchade, Sabine Lévi, & Antoine Triller. (1996). Axonal targeting of agrin in cultured rat dorsal horn neurons. Journal of Cell Science. 109(13). 2959–2966. 17 indexed citations
14.
Tsim, Karl Wah Keung, Markus A. Rüegg, Gérard Escher, Stephan Kröger, & U.J. McMahan. (1992). cDNA that encodes active agrin. Neuron. 8(4). 677–689. 175 indexed citations
15.
McMahan, U.J., M. J. Werle, Lawrence S. Honig, et al.. (1992). Agrin isoforms and their role in synaptogenesis. Current Opinion in Cell Biology. 4(5). 869–874. 130 indexed citations
16.
Rüegg, Markus A., et al.. (1992). The agrin gene codes for a family of basal lamina proteins that differ in function and distribution. Neuron. 8(4). 691–699. 220 indexed citations
17.
Schönenberger, Norbert & Gérard Escher. (1988). Excessive numbers of axons after early enucleation and blockade of metamorphosis in the oculomotor nerve of Xenopus laevis. Developmental Brain Research. 40(2). 253–260. 6 indexed citations
18.
Schönenberger, Norbert, Gérard Escher, & H. Van der Loos. (1986). The time course of the changes in axon number of both oculomotor nerves in normal and unilaterally enucleated Xenopus laevis. Developmental Brain Research. 24(1-2). 169–177. 6 indexed citations
19.
Escher, Gérard, Norbert Schönenberger, & H. Van der Loos. (1983). Detergent-soaked HRP-chips: a new method for precise and effective delivery of small quantities of the tracer to nervous tissue. Journal of Neuroscience Methods. 9(2). 87–94. 26 indexed citations
20.
Schönenberger, Norbert, Gérard Escher, & H. Van der Loos. (1983). Axon number in oculomotor nerves in Xenopus: Removal of one eye primordium affects both sides. Neuroscience Letters. 41(3). 239–245. 5 indexed citations

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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