Département de Pharmacochimie Moléculaire

20.0k citations
484 papers ·

Impact in

Papers in

Département de Pharmacochimie Moléculaire

473 papers receiving 19.4k citations

Peers

Département de Pharmacochimie Moléculaire
Comparison fields: 5 of 173
  • Virology 2.1k
  • Cellular and Molecular Neuroscience 4.7k
  • Molecular Biology 10.5k
  • Toxicology 346
  • Pharmacology 1.6k
Replace Smiths Detection (France) with:
Smiths Detection (France) France
École Supérieure de Biotechnologie de Strasbourg France
Swiss Cancer Center Léman Switzerland
Laboratoire d'Innovation Thérapeutique France
Newron Pharmaceuticals (Italy) Italy
Biochimie des Protéines Membranaires France
Biogen (Switzerland) Switzerland
Expression Génétique Microbienne France
LifeArc United Kingdom
Polyclinic Medical University Switzerland
Département de Pharmacochimie Moléculaire relative to Smiths Detection (France) France Smiths Detection (France)'s profile →
Citations per field
00.5×7.4×
Smiths Detection (France) · 1×
Citations per year

Countries citing scholars working at Département de Pharmacochimie Moléculaire

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Département de Pharmacochimie Moléculaire. 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 papers produced at Département de Pharmacochimie Moléculaire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Département de Pharmacochimie Moléculaire more than expected).

Fields of papers published by authors at Département de Pharmacochimie Moléculaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Département de Pharmacochimie Moléculaire at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Département de Pharmacochimie Moléculaire at the time of their publication.

About Département de Pharmacochimie Moléculaire

In recent decades, authors affiliated with Département de Pharmacochimie Moléculaire have published 484 papers, which have received a total of 20.0k indexed citations . Scholars at this organization have produced 53 papers in Virology, 100 papers in Cellular and Molecular Neuroscience, 296 papers in Molecular Biology, 98 papers in Organic Chemistry and 80 papers in Oncology on the topics of Neuropeptides and Animal Physiology (84 papers), HIV Research and Treatment (53 papers), HIV/AIDS drug development and treatment (46 papers), Peptidase Inhibition and Analysis (41 papers), DNA and Nucleic Acid Chemistry (41 papers), Receptor Mechanisms and Signaling (39 papers), Chemical Synthesis and Analysis (38 papers) and RNA and protein synthesis mechanisms (34 papers). Their work is cited by papers focused on Virology (2.1k citations), Cellular and Molecular Neuroscience (4.7k citations), Molecular Biology (10.5k citations), Toxicology (346 citations) and Pharmacology (1.6k citations). Authors at Département de Pharmacochimie Moléculaire collaborate with scholars in France, United States and Spain and have published in prestigious journals including Journal of Medicinal Chemistry, Journal of Biological Chemistry, European Journal of Medicinal Chemistry, Journal of Molecular Biology and European Journal of Pharmacology. Some of Département de Pharmacochimie Moléculaire's most productive authors include Bernárd P. Roques, Ahcène Boumendjel, Florence Noble, Olga Valverde, B.P. Roques, Rafaël Maldonado, Marie‐Claude Fournié‐Zaluski, Jean‐Luc Décout, Éric Peyrin and Anne‐Marie Mariotte.

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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