Philippe Diaz

1.7k total citations
40 papers, 1.4k citations indexed

About

Philippe Diaz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Philippe Diaz has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 13 papers in Pharmacology. Recurrent topics in Philippe Diaz's work include Neuroscience and Neuropharmacology Research (11 papers), Cannabis and Cannabinoid Research (11 papers) and Retinoids in leukemia and cellular processes (6 papers). Philippe Diaz is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Cannabis and Cannabinoid Research (11 papers) and Retinoids in leukemia and cellular processes (6 papers). Philippe Diaz collaborates with scholars based in United States, France and Canada. Philippe Diaz's co-authors include Mohamed Naguib, Jijun Xu, Fanny Astruc‐Diaz, Ravil R. Petrov, Claudio N. Cavasotto, Vinícius M. Gadotti, Gerald W. Zamponi, Sharangdhar S. Phatak, David L. Brown and Jean Martínez and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Philippe Diaz

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Diaz United States 22 479 408 299 270 208 40 1.4k
Meri De Angelis Germany 23 406 0.8× 482 1.2× 172 0.6× 148 0.5× 66 0.3× 48 1.3k
Cristóbal de los Rı́os Spain 28 1.1k 2.2× 704 1.7× 1.1k 3.6× 186 0.7× 415 2.0× 91 2.4k
Charles M. Thompson United States 28 714 1.5× 674 1.7× 540 1.8× 316 1.2× 187 0.9× 132 2.5k
Ferdinando Fiorino Italy 25 606 1.3× 924 2.3× 93 0.3× 275 1.0× 132 0.6× 111 1.8k
Michael K. Lawson Slovakia 12 127 0.3× 386 0.9× 140 0.5× 76 0.3× 301 1.4× 21 1.3k
Leslie A. Shinobu United States 19 71 0.1× 764 1.9× 171 0.6× 318 1.2× 518 2.5× 28 2.4k
Jeffery J. Prusakiewicz United States 17 278 0.6× 319 0.8× 765 2.6× 112 0.4× 86 0.4× 26 1.4k
Yaichiro Kotake Japan 25 214 0.4× 474 1.2× 85 0.3× 376 1.4× 119 0.6× 87 1.7k
Daiying Zuo China 28 684 1.4× 950 2.3× 182 0.6× 245 0.9× 111 0.5× 104 2.5k
Mamoru Haratake Japan 24 353 0.7× 498 1.2× 290 1.0× 97 0.4× 552 2.7× 90 1.6k

Countries citing papers authored by Philippe Diaz

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Diaz

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Diaz. A scholar is included among the top collaborators of Philippe Diaz 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 Philippe Diaz. Philippe Diaz 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.
Birru, Bhaskar, et al.. (2024). Hyaluronic acid-ibuprofen conjugation: a novel ototherapeutic approach protecting inner ear cells from inflammation-mediated damage. Frontiers in Pharmacology. 15. 1355283–1355283. 3 indexed citations
2.
Florman, Jeremy, et al.. (2022). Cannabinoids activate the insulin pathway to modulate mobilization of cholesterol in C. elegans. PLoS Genetics. 18(11). e1010346–e1010346. 4 indexed citations
3.
Poumay, Yves, et al.. (2021). Preclinical Assessment of Dual CYP26[A1/B1] Inhibitor, DX308, as an Improved Treatment for Keratinization Disorders. SHILAP Revista de lepidopterología. 1(2). e22–e22. 3 indexed citations
4.
Liu, Haoming, et al.. (2020). Characterization of CYP26B1-Selective Inhibitor, DX314, as a Potential Therapeutic for Keratinization Disorders. Journal of Investigative Dermatology. 141(1). 72–83.e6. 10 indexed citations
5.
Gadotti, Vinícius M., et al.. (2020). Cav3.2 T-type calcium channels control acute itch in mice. Molecular Brain. 13(1). 119–119. 10 indexed citations
6.
Heidari, Zahra, Michelle D. Nemetchek, Scott J. Novick, et al.. (2019). Definition of functionally and structurally distinct repressive states in the nuclear receptor PPARγ. Nature Communications. 10(1). 5825–5825. 31 indexed citations
7.
Diaz, Philippe, Eric A. Horne, Cong Xu, et al.. (2018). Modified carbazoles destabilize microtubules and kill glioblastoma multiform cells. European Journal of Medicinal Chemistry. 159. 74–89. 23 indexed citations
8.
Foti, R., Nina Isoherranen, Alex Zelter, et al.. (2016). Identification of Tazarotenic Acid as the First Xenobiotic Substrate of Human Retinoic Acid Hydroxylase CYP26A1 and CYP26B1. Journal of Pharmacology and Experimental Therapeutics. 357(2). 281–292. 13 indexed citations
9.
Xu, Jijun, Philippe Diaz, Bihua Bie, et al.. (2013). Spinal gene expression profiling and pathways analysis of a CB2 agonist (MDA7)-targeted prevention of paclitaxel-induced neuropathy. Neuroscience. 260. 185–194. 27 indexed citations
10.
Diaz, Philippe, et al.. (2013). Novel di-aryl-substituted isoxazoles act as noncompetitive inhibitors of the system xc- cystine/glutamate exchanger. Neurochemistry International. 73. 132–138. 14 indexed citations
11.
Petrov, Ravil R., Shao-Rui Chen, Jim Wager‐Miller, et al.. (2013). Mastering tricyclic ring systems for desirable functional cannabinoid activity. European Journal of Medicinal Chemistry. 69. 881–907. 38 indexed citations
12.
Naguib, Mohamed, Jijun Xu, Philippe Diaz, et al.. (2012). Prevention of Paclitaxel-Induced Neuropathy Through Activation of the Central Cannabinoid Type 2 Receptor System. Anesthesia & Analgesia. 114(5). 1104–1120. 65 indexed citations
13.
Natale, Nicholas R., et al.. (2011). Suzuki–Miyaura cross-coupling of benzylic bromides under microwave conditions. Tetrahedron Letters. 52(43). 5656–5658. 12 indexed citations
14.
Petrov, Ravil R., Maria Ferrini, Zeina Jaffar, et al.. (2011). Design and evaluation of a novel fluorescent CB2 ligand as probe for receptor visualization in immune cells. Bioorganic & Medicinal Chemistry Letters. 21(19). 5859–5862. 22 indexed citations
15.
Xu, Jijun, et al.. (2010). Pharmacological Characterization of a Novel Cannabinoid Ligand, MDA19, for Treatment of Neuropathic Pain. Anesthesia & Analgesia. 111(1). 99–109. 43 indexed citations
16.
17.
Naguib, Mohamed, Philippe Diaz, Jijun Xu, et al.. (2008). MDA7: a novel selective agonist for CB2 receptors that prevents allodynia in rat neuropathic pain models. British Journal of Pharmacology. 155(7). 1104–1116. 62 indexed citations
18.
19.
Diaz, Philippe, et al.. (2000). Coupling reaction of chalcogenyl halides with alkynes on a solid support. Synthesis of new selenium-containing retinoids. Tetrahedron Letters. 41(27). 5193–5197. 4 indexed citations
20.
Charpentier, Bruno, et al.. (1995). Chemoenzymatic synthesis of enantiomers of a new retinoid to investigate the role of chirality in the biological response. Bioorganic & Medicinal Chemistry Letters. 5(23). 2801–2804.

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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