Philippe Diaz

1.7k citations
40 papers · 1.4k · h-index 22

Impact in

Papers in

Philippe Diaz

39 papers receiving 1.4k citations

Peers

Philippe Diaz
Comparison fields: 5 of 110
  • Toxicology 159
  • Pharmacology 299
  • Organic Chemistry 479
  • Cellular and Molecular Neuroscience 270
  • Health, Toxicology and Mutagenesis 191
Replace Meri De Angelis with:
Meri De Angelis Germany
Cristóbal de los Rı́os Spain
Charles M. Thompson United States
Ferdinando Fiorino Italy
Mamoru Haratake Japan
Elena Fonfría United Kingdom
Daiying Zuo China
Jeffery J. Prusakiewicz United States
Te‐Hsien Lin Taiwan
M.G. Salgo United States
Philippe Diaz relative to Meri De Angelis Germany Meri De Angelis's profile →
Citations per field
00.5×3.2×
Meri De Angelis · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Philippe Diaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Diaz Line = papers co-authored together Philippe Diaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012233
2 2000137
3 200979
4 201265
5 200864
6 200863
7 200862
8 199862
9 200745
10 201043
11 200539
12 201338
13 201438
14 201334
15 201432
16 201931
17 201130
18 200329
19 201327
20 201823

About Philippe Diaz

Philippe Diaz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Organic Chemistry and Physiology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Retinoids in leukemia and cellular processes (6 papers), Pain Mechanisms and Treatments (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Sulfur-Based Synthesis Techniques (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). The work is most often cited by research in Toxicology (159 citations), Pharmacology (299 citations), Organic Chemistry (479 citations), Cellular and Molecular Neuroscience (270 citations) and Health, Toxicology and Mutagenesis (191 citations). Philippe Diaz has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Mohamed Naguib, Jijun Xu, Fanny Astruc‐Diaz, Ravil R. Petrov, Claudio N. Cavasotto, Vinícius M. Gadotti, Gerald W. Zamponi, David L. Brown, Sharangdhar S. Phatak and Jean Martínez. Their work appears in journals such as Tetrahedron Letters, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecular Pain and European Journal of Medicinal Chemistry.

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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