Jacques Seylaz

6.5k total citations
194 papers, 5.4k citations indexed

About

Jacques Seylaz is a scholar working on Cellular and Molecular Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jacques Seylaz has authored 194 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cellular and Molecular Neuroscience, 59 papers in Neurology and 46 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jacques Seylaz's work include Traumatic Brain Injury and Neurovascular Disturbances (51 papers), Neuroscience and Neuropharmacology Research (47 papers) and Nitric Oxide and Endothelin Effects (30 papers). Jacques Seylaz is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (51 papers), Neuroscience and Neuropharmacology Research (47 papers) and Nitric Oxide and Endothelin Effects (30 papers). Jacques Seylaz collaborates with scholars based in France, Morocco and Sweden. Jacques Seylaz's co-authors include Elisabeth Pinard, R. Sercombe, Gilles Bonvento, Pierre Lacombe, Kamel Kacem, Josiane Borredon, P. Lacombe, P. Aubineau, P Méric and Lars Edvinsson and has published in prestigious journals such as The Journal of Experimental Medicine, NeuroImage and Neurology.

In The Last Decade

Jacques Seylaz

189 papers receiving 5.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacques Seylaz 1.7k 1.4k 1.2k 1.1k 941 194 5.4k
Wolfgang Kuschinsky 1.3k 0.8× 1.5k 1.1× 1.8k 1.4× 1.3k 1.1× 992 1.1× 162 6.2k
James McCulloch 2.1k 1.2× 2.0k 1.4× 1.6k 1.3× 1.4k 1.3× 847 0.9× 116 6.7k
Thomas E. Duffy 1.5k 0.9× 887 0.6× 1.6k 1.3× 1.1k 1.0× 594 0.6× 57 5.3k
Sami I. Harik 1.9k 1.1× 1.3k 0.9× 2.3k 1.8× 2.0k 1.8× 502 0.5× 158 6.7k
Ute Lindauer 1.3k 0.8× 1.6k 1.2× 1.3k 1.1× 1.4k 1.3× 1.7k 1.8× 98 6.9k
Richard A. Hawkins 1.7k 1.0× 557 0.4× 1.9k 1.6× 2.0k 1.8× 808 0.9× 116 6.6k
Rudolf Graf 1.7k 1.0× 2.0k 1.5× 1.1k 0.9× 623 0.6× 1.2k 1.2× 127 6.6k
Roland N. Auer 3.1k 1.8× 1.6k 1.2× 2.2k 1.8× 1.1k 1.0× 411 0.4× 146 8.5k
Yasuo Fukuuchi 1.4k 0.8× 1.2k 0.9× 1.5k 1.2× 1.1k 1.0× 399 0.4× 227 6.2k
Joseph C. LaManna 1.9k 1.1× 1.4k 1.0× 3.8k 3.0× 2.3k 2.1× 1.0k 1.1× 265 10.0k

Countries citing papers authored by Jacques Seylaz

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Seylaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Seylaz

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Seylaz. A scholar is included among the top collaborators of Jacques Seylaz 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 Jacques Seylaz. Jacques Seylaz 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.
Poittevin, Marine, Chrystelle Po, Danielle Dupont, et al.. (2013). Spatial and Temporal MRI Profile of Ischemic Tissue after the Acute Stages of a Permanent Mouse Model of Stroke. PubMed. 7(1). 4–14. 5 indexed citations
2.
Genovesio, Auguste, Emmanuel Donnadieu, Christine Bernard, et al.. (2006). Cerebral microcirculation shear stress levels determine Neisseria meningitidis attachment sites along the blood–brain barrier. The Journal of Experimental Medicine. 203(8). 1939–1950. 135 indexed citations
4.
Bonvento, Gilles, Josiane Borredon, Jacques Seylaz, & Pierre Lacombe. (1997). Cerebrovascular consequences of altering serotonergic transmission in conscious rat. Brain Research. 767(2). 208–213. 8 indexed citations
6.
Méric, P, Isabelle Loubinoux, Josiane Borredon, et al.. (1996). A One‐Dimensional (Proton and Phosphorus) and Two‐Dimensional (Proton) In Vivo NMR Spectroscopic Study of Reversible Global Cerebral Ischemia. Journal of Neurochemistry. 66(6). 2491–2499. 37 indexed citations
7.
Bonvento, Gilles, et al.. (1994). Is α-chloralose plus halothane induction a suitable anesthetic regimen for cerebrovascular research?. Brain Research. 665(2). 213–221. 76 indexed citations
8.
Barrère, B., et al.. (1994). Effects of kainate-induced seizures on cerebral metabolism: a combined1H and 31P NMR study in rat. Brain Research. 638(1-2). 53–60. 35 indexed citations
9.
Seylaz, Jacques, et al.. (1993). Increased Influence of Calcium and Nicardipine on Rabbit Basilar Artery Reactivity After Brief Subarachnoid Hemorrhage. Journal of Cardiovascular Pharmacology. 21(5). 754–759. 6 indexed citations
10.
Cudennec, Annie, Gilles Bonvento, D. Duverger, et al.. (1993). Effects of dorsal raphe nucleus stimulation on cerebral blood flow and flow-metabolism coupling in the conscious rat. Neuroscience. 55(2). 395–401. 20 indexed citations
11.
Bourgeois, Dominique, Simon Roussel, Yann Lefur, et al.. (1992). Two‐dimensional 1H spectroscopic imaging for evaluating the local metabolic response to focal ischemia in the conscious rat. NMR in Biomedicine. 5(1). 11–19. 24 indexed citations
12.
Lacombe, P., et al.. (1992). Spreading depression induces prolonged reduction of cortical blood flow reactivity in the rat. Experimental Neurology. 117(3). 278–286. 46 indexed citations
13.
Cohen, Z., Gilles Bonvento, Pierre Lacombe, et al.. (1992). Cerebrovascular nerve fibers immunoreactive for tryptophan-5-hydroxylase in the rat: distribution, putative origin and comparison with sympathetic noradrenergic nerves. Brain Research. 598(1-2). 203–214. 28 indexed citations
14.
Haller, Christlieb, R. Sercombe, Jacques Seylaz, & Wolfgang Kuschinsky. (1991). Effect of Moderate Endothelial Damage on the in vivo Reactivity of Pial Arteries to Norepinephrine and Serotonin. Cerebrovascular Diseases. 1(5). 288–295. 5 indexed citations
15.
Pinard, Elisabeth, et al.. (1990). Theophylline reduces cerebral hyperaemia and enhances brain damage induced by seizures. Brain Research. 511(2). 303–309. 23 indexed citations
16.
Sercombe, R., Jan Erik Hardebo, J. Kåhrström, & Jacques Seylaz. (1990). Amine-Induced Responses of Pial and Penetrating Cerebral Arteries: Evidence for Heterogeneous Responses. Journal of Cerebral Blood Flow & Metabolism. 10(6). 808–818. 20 indexed citations
17.
Lasbennes, F., Pierre Lacombe, & Jacques Seylaz. (1988). Effect of monoamine oxidase inhibition on the regional cerebral blood flow response to circulating noradrenaline. Brain Research. 454(1-2). 205–211. 12 indexed citations
18.
Pinard, Elisabeth, et al.. (1987). Systemically administered adenosine increases caudate blood flow in rabbits. Neuroscience Letters. 80(2). 224–228. 11 indexed citations
19.
Aubineau, P., et al.. (1986). Direct innervation of neurolipomastocytes in the rabbit and rat cerebral artery wall.. PubMed. 552. 21–4. 10 indexed citations
20.
Sercombe, R., et al.. (1986). Histamine-Induced Constriction and Dilatation of Rabbit Middle Cerebral Arteries in vitro: Role of the Endothelium. Journal of Vascular Research. 23(3). 137–153. 44 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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