Ghislaine Groyer

1.1k total citations · 1 hit paper
7 papers, 921 citations indexed

About

Ghislaine Groyer is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Ghislaine Groyer has authored 7 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 3 papers in Behavioral Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Ghislaine Groyer's work include Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (3 papers) and Hormonal Regulation and Hypertension (2 papers). Ghislaine Groyer is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (3 papers) and Hormonal Regulation and Hypertension (2 papers). Ghislaine Groyer collaborates with scholars based in France, Germany and United States. Ghislaine Groyer's co-authors include Michaël Schumacher, David Adams, Vassilios Papadopoulos, Rainer Rupprecht, Gerhard Rammes, Thomas C. Baghai, Nagaraju Akula, Jinjiang Fan, Christelle Girard and Françoise Cadepond and has published in prestigious journals such as Nature Reviews Drug Discovery, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

Ghislaine Groyer

7 papers receiving 912 citations

Hit Papers

Translocator protein (18 kDa) (TSPO) as a therapeutic tar... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ghislaine Groyer France 7 336 274 207 173 164 7 921
M. Frigo Italy 18 290 0.9× 339 1.2× 203 1.0× 104 0.6× 85 0.5× 41 1.1k
Wei‐Jye Lin China 21 748 2.2× 315 1.1× 214 1.0× 221 1.3× 88 0.5× 49 1.5k
Ailsa L. McGregor New Zealand 15 312 0.9× 198 0.7× 123 0.6× 73 0.4× 93 0.6× 34 796
William A. Banks United States 10 276 0.8× 268 1.0× 165 0.8× 249 1.4× 117 0.7× 12 883
Vladimir M. Milenkovic Germany 25 984 2.9× 488 1.8× 195 0.9× 184 1.1× 129 0.8× 66 1.6k
Christina S. Hines United States 15 325 1.0× 247 0.9× 104 0.5× 85 0.5× 42 0.3× 17 841
Krisztina Bencsik Hungary 22 292 0.9× 82 0.3× 131 0.6× 93 0.5× 85 0.5× 78 1.2k
Caterina Cascio Italy 20 550 1.6× 379 1.4× 84 0.4× 175 1.0× 181 1.1× 29 1.2k
Yoon Lim Australia 26 740 2.2× 581 2.1× 112 0.5× 269 1.6× 80 0.5× 41 1.5k
Svetlana Leschiner Israel 20 541 1.6× 324 1.2× 91 0.4× 91 0.5× 61 0.4× 36 1.0k

Countries citing papers authored by Ghislaine Groyer

Since Specialization
Citations

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

Fields of papers citing papers by Ghislaine Groyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghislaine Groyer

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

All Works

7 of 7 papers shown
1.
Poisbeau, Pierrick, et al.. (2014). Analgesic strategies aimed at stimulating the endogenous production of allopregnanolone. Frontiers in Cellular Neuroscience. 8. 174–174. 29 indexed citations
2.
Girard, Christelle, David Adams, C. Lacroix, et al.. (2011). Axonal Regeneration and Neuroinflammation: Roles for the Translocator Protein 18 kDa. Journal of Neuroendocrinology. 24(1). 71–81. 66 indexed citations
3.
Rupprecht, Rainer, Vassilios Papadopoulos, Gerhard Rammes, et al.. (2010). Translocator protein (18 kDa) (TSPO) as a therapeutic target for neurological and psychiatric disorders. Nature Reviews Drug Discovery. 9(12). 971–988. 753 indexed citations breakdown →
4.
Groyer, Ghislaine, Bernard Eychenne, Christelle Girard, et al.. (2006). Expression and Functional State of the Corticosteroid Receptors and 11β-Hydroxysteroid Dehydrogenase Type 2 in Schwann Cells. Endocrinology. 147(9). 4339–4350. 29 indexed citations
5.
Troadec, Jean‐Denis, Françoise Cadepond, Rachida Guennoun, et al.. (2003). Downregulation of steroidogenic acute regulatory protein (StAR) gene expression by cyclic AMP in cultured Schwann cells. Glia. 45(3). 213–228. 25 indexed citations
6.
Cadepond, Françoise, Charbel Massaad, Amalia Trousson, et al.. (2002). Steroid Receptors in Various Glial Cell Lines Expression and Functional Studies. Annals of the New York Academy of Sciences. 973(1). 484–487. 9 indexed citations
7.
Guennoun, Rachida, et al.. (2002). Expression of Steroidogenic Acute Regulatory Protein in Cultured Schwann Cells and Its Regulation by cAMP. Annals of the New York Academy of Sciences. 973(1). 83–87. 10 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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