Pierre‐Alain Vitte

1.8k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Pierre‐Alain Vitte is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Pierre‐Alain Vitte has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Pierre‐Alain Vitte's work include Neuroscience and Neuropharmacology Research (3 papers), Melanoma and MAPK Pathways (3 papers) and Cell death mechanisms and regulation (3 papers). Pierre‐Alain Vitte is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Melanoma and MAPK Pathways (3 papers) and Cell death mechanisms and regulation (3 papers). Pierre‐Alain Vitte collaborates with scholars based in United States, Italy and Switzerland. Pierre‐Alain Vitte's co-authors include R Cirillo, Chiara Ferrandi, Montserrat Camps, P. Gaillard, Jean‐Pierre Gotteland, Matthias Schwarz, Thomas Rückle, Hong Ji, Denise Gretener and Christian Chabert and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Brain Research.

In The Last Decade

Pierre‐Alain Vitte

14 papers receiving 1.4k citations

Hit Papers

Blockade of PI3Kγ suppresses joint inflammation and damag... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre‐Alain Vitte United States 11 821 337 274 143 141 14 1.5k
Ying Shen China 30 1.0k 1.3× 228 0.7× 295 1.1× 95 0.7× 145 1.0× 129 2.4k
Caiping Chen China 21 782 1.0× 161 0.5× 214 0.8× 66 0.5× 127 0.9× 68 1.5k
Jianguo Jin United States 27 1.0k 1.3× 337 1.0× 197 0.7× 132 0.9× 184 1.3× 49 3.5k
Hideki Kamitani Japan 22 630 0.8× 135 0.4× 198 0.7× 77 0.5× 113 0.8× 64 1.5k
Daisuke Kamei Japan 20 720 0.9× 198 0.6× 221 0.8× 115 0.8× 163 1.2× 33 1.7k
Edward F. Webb United States 20 778 0.9× 341 1.0× 267 1.0× 280 2.0× 402 2.9× 36 1.7k
Jianling Xie Australia 25 1.0k 1.3× 175 0.5× 164 0.6× 65 0.5× 135 1.0× 55 1.8k
Xiuling Zhi China 27 1.1k 1.3× 384 1.1× 509 1.9× 52 0.4× 170 1.2× 63 2.3k
Peter P. Sayeski United States 27 980 1.2× 225 0.7× 575 2.1× 73 0.5× 111 0.8× 76 1.8k
Henry B. Sadowski United States 17 1.0k 1.3× 501 1.5× 946 3.5× 67 0.5× 140 1.0× 23 2.2k

Countries citing papers authored by Pierre‐Alain Vitte

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Alain Vitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Alain Vitte. 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 Pierre‐Alain Vitte. The network helps show where Pierre‐Alain Vitte may publish in the future.

Co-authorship network of co-authors of Pierre‐Alain Vitte

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

All Works

14 of 14 papers shown
1.
Hetz, Claudio, Pierre‐Alain Vitte, Agnès Bombrun, et al.. (2012). Bax channel inhibitors prevent mitochondrion-mediated apoptosis and protect neurons in a model of global brain ischemia.. Journal of Biological Chemistry. 287(53). 44108–44108. 2 indexed citations
2.
Guo, Xiaoli, Chikako Harada, Kazuhiko Namekata, et al.. (2010). Regulation of the severity of neuroinflammation and demyelination by TLR‐ASK1‐p38 pathway. EMBO Molecular Medicine. 2(12). 504–515. 125 indexed citations
3.
Sulpice, Thierry, Bénédicte Prunet‐Marcassus, Patrice D. Cani, et al.. (2009). An Adiponectin-Like Molecule with Antidiabetic Properties. Endocrinology. 150(10). 4493–4501. 9 indexed citations
4.
Callizot, Noëlle, Emile Andriambeloson, Jonathan D. Glass, et al.. (2008). Interleukin-6 protects against paclitaxel, cisplatin and vincristine-induced neuropathies without impairing chemotherapeutic activity. Cancer Chemotherapy and Pharmacology. 62(6). 995–1007. 53 indexed citations
5.
Handel, Tracy M., Zoë Johnson, David Henrique Rodrigues, et al.. (2008). An engineered monomer of CCL2 has anti-inflammatory properties emphasizing the importance of oligomerization for chemokine activity in vivo. Journal of Leukocyte Biology. 84(4). 1101–1108. 58 indexed citations
6.
McKenna, Sean D., Georg Feger, Christie Kelton, et al.. (2007). Tumor Necrosis Factor (TNF)-Soluble High-Affinity Receptor Complex as a TNF Antagonist. Journal of Pharmacology and Experimental Therapeutics. 322(2). 822–828. 5 indexed citations
7.
Andriambeloson, Emile, et al.. (2006). Interleukin‐6 attenuates the development of experimental diabetes‐related neuropathy. Neuropathology. 26(1). 32–42. 45 indexed citations
8.
Carboni, Sonia, Bruno Antonsson, P. Gaillard, et al.. (2005). Control of death receptor and mitochondrial‐dependent apoptosis by c‐Jun N‐terminal kinase in hippocampal CA1 neurones following global transient ischaemia. Journal of Neurochemistry. 92(5). 1054–1060. 45 indexed citations
9.
Hetz, Claudio, Pierre‐Alain Vitte, Agnès Bombrun, et al.. (2005). Bax Channel Inhibitors Prevent Mitochondrion-mediated Apoptosis and Protect Neurons in a Model of Global Brain Ischemia. Journal of Biological Chemistry. 280(52). 42960–42970. 138 indexed citations
10.
Camps, Montserrat, Thomas Rückle, Hong Ji, et al.. (2005). Blockade of PI3Kγ suppresses joint inflammation and damage in mouse models of rheumatoid arthritis. Nature Medicine. 11(9). 936–943. 650 indexed citations breakdown →
11.
Gaillard, P., Steve Arkinstall, Yves Cambet, et al.. (2005). Design and Synthesis of the First Generation of Novel Potent, Selective, and in Vivo Active (Benzothiazol-2-yl)acetonitrile Inhibitors of the c-Jun N-Terminal Kinase. Journal of Medicinal Chemistry. 48(14). 4596–4607. 105 indexed citations
12.
Ferrandi, Chiara, Rossana Ballerio, P. Gaillard, et al.. (2004). Inhibition of c‐Jun N‐terminal kinase decreases cardiomyocyte apoptosis and infarct size after myocardial ischemia and reperfusion in anaesthetized rats. British Journal of Pharmacology. 142(6). 953–960. 131 indexed citations
13.
Carboni, Sonia, et al.. (2004). AS601245 (1,3-Benzothiazol-2-yl (2-{[2-(3-pyridinyl) ethyl] amino}-4 pyrimidinyl) Acetonitrile): A c-Jun NH2-Terminal Protein Kinase Inhibitor with Neuroprotective Properties. Journal of Pharmacology and Experimental Therapeutics. 310(1). 25–32. 92 indexed citations
14.
Vitte, Pierre‐Alain, Jocelyne Brun, Pierre Lestage, Bruno Claustrat, & Pierre Bobillier. (1989). The effects of melatonin and pinealectomy upon local cerebral glucose utilization in awake unrestrained rats are restricted to a few specific regions. Brain Research. 489(2). 273–282. 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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