Samuel Barbieri

2.1k total citations
10 papers, 1.4k citations indexed

About

Samuel Barbieri is a scholar working on Cellular and Molecular Neuroscience, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Samuel Barbieri has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 3 papers in Nutrition and Dietetics. Recurrent topics in Samuel Barbieri's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers) and Neurological diseases and metabolism (2 papers). Samuel Barbieri is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers) and Neurological diseases and metabolism (2 papers). Samuel Barbieri collaborates with scholars based in Switzerland, Denmark and Japan. Samuel Barbieri's co-authors include Herman van der Putten, Simone Danner, Markus A. Rüegg, Markus Tolnay, Bernd Sommer, Katja Hofele, Karl‐Heinz Wiederhold, Graeme Bilbe, Claudia Mistl and A. Probst and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Samuel Barbieri

10 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Barbieri Switzerland	9	883	799	355	282	218	10	1.4k
Wanda L.H. Stirling United States	7	540 0.6×	720 0.9×	286 0.8×	386 1.4×	192 0.9×	8	1.1k
Osamu Komure Japan	17	809 0.9×	646 0.8×	612 1.7×	212 0.8×	250 1.1×	32	1.3k
Sarah Morgan Germany	20	428 0.5×	515 0.6×	271 0.8×	150 0.5×	202 0.9×	38	1.1k
Chee Yeun Chung United States	15	656 0.7×	678 0.8×	632 1.8×	282 1.0×	181 0.8×	20	1.4k
Elsa Diguet France	17	795 0.9×	534 0.7×	650 1.8×	164 0.6×	235 1.1×	20	1.3k
Karina Fog Denmark	18	504 0.6×	789 1.0×	478 1.3×	408 1.4×	295 1.4×	27	1.3k
Veronica Francardo Sweden	17	781 0.9×	644 0.8×	496 1.4×	93 0.3×	170 0.8×	22	1.3k
Ivette M. Sandoval United States	20	687 0.8×	620 0.8×	643 1.8×	404 1.4×	220 1.0×	37	1.6k
Alissa L. Nana United States	16	310 0.4×	544 0.7×	421 1.2×	320 1.1×	149 0.7×	27	1.1k
Kelly M. Hinkle United States	15	329 0.4×	759 0.9×	323 0.9×	372 1.3×	269 1.2×	18	1.1k

Countries citing papers authored by Samuel Barbieri

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Barbieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Barbieri

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

All Works

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10 of 10 papers shown

Minoux, Maryline, Alessandro Piaia, Corinne Haller, et al.. (2017). DPP9 enzyme activity controls survival of mouse migratory tongue muscle progenitors and its absence leads to neonatal lethality due to suckling defect. Developmental Biology. 431(2). 297–308. 14 indexed citations

Hannedouche, Sébastien, Valérie Beck, Juliet Leighton-Davies, et al.. (2013). Identification of the C3a Receptor (C3AR1) as the Target of the VGF-derived Peptide TLQP-21 in Rodent Cells. Journal of Biological Chemistry. 288(38). 27434–27443. 79 indexed citations

Rieker, Claus, Kumlesh K. Dev, Samuel Barbieri, et al.. (2011). Neuropathology in Mice Expressing Mouse Alpha-Synuclein. PLoS ONE. 6(9). e24834–e24834. 87 indexed citations

Xie, Bing, Jikui Shen, Aling Dong, et al.. (2008). An Adam15 amplification loop promotes vascular endothelial growth factor‐induced ocular neovascularization. The FASEB Journal. 22(8). 2775–2783. 26 indexed citations

Vigot, Réjan, Samuel Barbieri, Hans Bräuner‐Osborne, et al.. (2006). Differential Compartmentalization and Distinct Functions of GABAB Receptor Variants. Neuron. 50(4). 589–601. 244 indexed citations

Haller, Corinne, Emilio Casanova, Mathias Müller, et al.. (2004). Floxed allele for conditional inactivation of the GABA_B(1) gene. genesis. 40(3). 125–130. 50 indexed citations

Barbieri, Samuel, Katja Hofele, Karl‐Heinz Wiederhold, et al.. (2001). Mouse Models of α-Synucleinopathy and Lewy Pathology. Advances in experimental medicine and biology. 487. 147–167. 6 indexed citations

Sommer, Bernd, Samuel Barbieri, Katja Hofele, et al.. (2000). Mouse models of α-synucleinopathy and Lewy pathology. Experimental Gerontology. 35(9-10). 1389–1403. 33 indexed citations

Putten, Herman van der, Karl‐Heinz Wiederhold, A. Probst, et al.. (2000). Neuropathology in mice expressing human alpha-synuclein. PubMed. 20(16). 6021–9. 420 indexed citations

10.

Putten, Herman van der, Karl‐Heinz Wiederhold, A. Probst, et al.. (2000). Neuropathology in Mice Expressing Human α-Synuclein. Journal of Neuroscience. 20(16). 6021–6029. 393 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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