Daniel Perrelet

721 total citations
9 papers, 620 citations indexed

About

Daniel Perrelet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Daniel Perrelet has authored 9 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Daniel Perrelet's work include Nerve injury and regeneration (4 papers), Cell death mechanisms and regulation (3 papers) and RNA Interference and Gene Delivery (3 papers). Daniel Perrelet is often cited by papers focused on Nerve injury and regeneration (4 papers), Cell death mechanisms and regulation (3 papers) and RNA Interference and Gene Delivery (3 papers). Daniel Perrelet collaborates with scholars based in Switzerland, Canada and United States. Daniel Perrelet's co-authors include Ann C. Kato, Yves Sagot, Clifford J. Woolf, Isabelle Décosterd, Joachim Scholz, Richard Mannion, Joanna C. Bakowska, Susanna C. Benn, Peter Liston and Robert G. Korneluk and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Cell Biology.

In The Last Decade

Daniel Perrelet

9 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Perrelet Switzerland	9	357	262	99	80	76	9	620
Emilio Geijo‐Barrientos Spain	15	348 1.0×	298 1.1×	101 1.0×	80 1.0×	64 0.8×	30	788
Emmanuelle Buhler France	14	367 1.0×	298 1.1×	126 1.3×	77 1.0×	75 1.0×	28	755
Yuanzheng Gu United States	15	326 0.9×	230 0.9×	92 0.9×	63 0.8×	34 0.4×	21	590
Kevin J. O’Donovan United States	11	592 1.7×	294 1.1×	73 0.7×	76 0.9×	29 0.4×	19	958
Elisabetta Golini Italy	13	502 1.4×	236 0.9×	105 1.1×	42 0.5×	26 0.3×	22	701
Patricia Marshall United States	18	385 1.1×	379 1.4×	57 0.6×	36 0.5×	32 0.4×	24	791
Daniela Marazziti Italy	14	663 1.9×	243 0.9×	83 0.8×	51 0.6×	21 0.3×	37	911
Adriano Flora Italy	17	855 2.4×	180 0.7×	55 0.6×	73 0.9×	36 0.5×	20	1.2k
DM Chikaraishi United States	8	414 1.2×	407 1.6×	45 0.5×	144 1.8×	19 0.3×	8	905
T. Gotow Japan	13	433 1.2×	262 1.0×	83 0.8×	31 0.4×	30 0.4×	15	873

Countries citing papers authored by Daniel Perrelet

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Perrelet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Perrelet

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

All Works

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9 of 9 papers shown

Perrelet, Daniel, Florence E. Perrin, Peter Liston, et al.. (2004). Motoneuron Resistance to Apoptotic Cell DeathIn VivoCorrelates with the Ratio between X-Linked Inhibitor of Apoptosis Proteins (XIAPs) and Its Inhibitor, XIAP-Associated Factor 1. Journal of Neuroscience. 24(15). 3777–3785. 36 indexed citations

Benn, Susanna C., Daniel Perrelet, Ann C. Kato, et al.. (2002). Hsp27 Upregulation and Phosphorylation Is Required for Injured Sensory and Motor Neuron Survival. Neuron. 36(1). 45–56. 210 indexed citations

Perrelet, Daniel, et al.. (2002). IAPs are essential for GDNF-mediated neuroprotective effects in injured motor neurons in vivo. Nature Cell Biology. 4(2). 175–179. 72 indexed citations

Wagey, R., et al.. (2001). Phosphatidylinositol 3-kinase activity in murine motoneuron disease: the progressive motor neuropathy mouse. Neuroscience. 103(1). 257–266. 15 indexed citations

Terrado, José, et al.. (2000). Soluble TNF receptors partially protect injured motoneurons in the postnatal CNS. European Journal of Neuroscience. 12(9). 3443–3447. 39 indexed citations

Perrelet, Daniel, Luca Ferri, A.E. MacKenzie, et al.. (2000). IAP family proteins delay motoneuron cell death in vivo. European Journal of Neuroscience. 12(6). 2059–2067. 68 indexed citations

Sagot, Yves, et al.. (2000). An orally active anti‐apoptotic molecule (CGP 3466B) preserves mitochondria and enhances survival in an animal model of motoneuron disease. British Journal of Pharmacology. 131(4). 721–728. 48 indexed citations

Terrado, José, et al.. (2000). NGF-induced motoneuron cell death depends on the genetic background and motoneuron sub-type. Neuroreport. 11(7). 1473–1477. 41 indexed citations

Sagot, Yves, et al.. (1998). Differential Effects of Neurotrophic Factors on Motoneuron Retrograde Labeling in a Murine Model of Motoneuron Disease. Journal of Neuroscience. 18(3). 1132–1141. 91 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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