G. Gacel

1.9k total citations
52 papers, 1.6k citations indexed

About

G. Gacel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, G. Gacel has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 46 papers in Cellular and Molecular Neuroscience and 8 papers in Oncology. Recurrent topics in G. Gacel's work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (32 papers) and Pharmacological Receptor Mechanisms and Effects (16 papers). G. Gacel is often cited by papers focused on Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (32 papers) and Pharmacological Receptor Mechanisms and Effects (16 papers). G. Gacel collaborates with scholars based in France, United States and Switzerland. G. Gacel's co-authors include Bernárd P. Roques, Marie‐Claude Fournié‐Zaluski, B.P. Roques, Jean‐Marie Zajac, Philippe Delay‐Goyet, V. Daugé, J.L. Morgat, Jean-Paul Swerts, Pierre Dodey and Françis Petit and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Brain Research.

In The Last Decade

G. Gacel

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Gacel France 23 1.3k 1.2k 411 216 85 52 1.6k
József I. Székely Hungary 21 826 0.6× 785 0.7× 328 0.8× 60 0.3× 63 0.7× 59 1.2k
Colin F. C. Smith Netherlands 12 1.0k 0.8× 957 0.8× 299 0.7× 105 0.5× 57 0.7× 18 1.3k
Victor J. Hruby United States 17 874 0.7× 1.1k 0.9× 217 0.5× 125 0.6× 73 0.9× 33 1.4k
Sophie De La Baume France 14 1.0k 0.8× 762 0.6× 235 0.6× 387 1.8× 47 0.6× 17 1.2k
Paul Alvinerie France 10 1.6k 1.2× 1.4k 1.2× 620 1.5× 403 1.9× 101 1.2× 11 2.2k
Kelly P. Longo United States 11 1.0k 0.8× 947 0.8× 366 0.9× 54 0.3× 69 0.8× 14 1.4k
Wesley Lebel United States 8 672 0.5× 627 0.5× 299 0.7× 35 0.2× 43 0.5× 12 992
Jean-Claude Brelière France 13 742 0.6× 447 0.4× 216 0.5× 40 0.2× 52 0.6× 14 1.1k
Pierre Chaillet France 14 789 0.6× 597 0.5× 328 0.8× 302 1.4× 25 0.3× 20 969
Robert W. McNutt United States 18 867 0.7× 892 0.8× 306 0.7× 57 0.3× 34 0.4× 29 1.3k

Countries citing papers authored by G. Gacel

Since Specialization
Citations

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

Fields of papers citing papers by G. Gacel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Gacel

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gacel. A scholar is included among the top collaborators of G. Gacel 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 G. Gacel. G. Gacel 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.
Pauthe, Emmanuel, et al.. (1997). Additional data about thermolysin specificity in buffer- and glycerol-containing media. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1337(1). 143–148. 19 indexed citations
2.
Meudal, Hervé, et al.. (1993). Investigation of the structural parameters involved in the δ‐opioid selectivity of several families of opioid peptides. International journal of peptide & protein research. 41(6). 576–586. 4 indexed citations
3.
Desmeules, Jules, V. Kayser, G. Gacel, G. Guilbaud, & B.P. Roques. (1993). The highly selective δ agonist BUBU induces an analgesic effect in normal and arthritic rat and this action is not affected by repeated administration of low doses of morphine. Brain Research. 611(2). 243–248. 16 indexed citations
4.
Cheng, Jie, et al.. (1992). κ3 opiate receptor binding in the mouse and rat. European Journal of Pharmacology Molecular Pharmacology. 226(1). 15–20. 29 indexed citations
5.
Tive, Leslie, et al.. (1992). Analgesic potency of TRIMU-5: A mixed μ2 opioid receptor agonists/μ1 opioid receptor antagonist. European Journal of Pharmacology. 216(2). 249–255. 6 indexed citations
6.
Pick, Chaim G., Bernárd P. Roques, G. Gacel, & Gavril W. Pasternak. (1992). Supraspinal μ2-opioid receptors mediate spinal/supraspinal morphine synergy. European Journal of Pharmacology. 220(2-3). 275–277. 25 indexed citations
7.
Delay‐Goyet, Philippe, Mariano Ruiz‐Gayo, Ana Baamonde, et al.. (1991). Brain passage of BUBU, a highly selective and potent agonist for δ opioid receptors: In vivo binding and μ versus δ receptors occupancy. Pharmacology Biochemistry and Behavior. 38(1). 155–162. 18 indexed citations
8.
9.
Daugé, Valérie, et al.. (1991). Lesion of dopamine mesolimbic neurons blocks behavioral effects induced by the endogenous enkephalins but not by a μ-opioid receptor agonist. European Journal of Pharmacology. 209(3). 267–271. 16 indexed citations
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12.
Belleney, Joël, G. Gacel, M.-C. Fournié-Zaluski, Bernard Maigret, & B.P. Roques. (1989). .delta. Opioid receptor selectivity induced by conformational constraints in linear enkephalin-related peptides: proton 400-MHz NMR study and theoretical calculations. Biochemistry. 28(18). 7392–7400. 17 indexed citations
13.
Gacel, G., Jean‐Marie Zajac, Philippe Delay‐Goyet, Valérie Daugé, & B.P. Roques. (1988). Investigation of the structural parameters involved in the .mu. and .delta. opioid receptor discrimination of linear enkephalin-related peptides. Journal of Medicinal Chemistry. 31(2). 374–383. 23 indexed citations
14.
Gacel, G., et al.. (1988). Development of conformationally constrained linear peptides exhibiting a high affinity and pronounced selectivity for .delta. opioid receptors. Journal of Medicinal Chemistry. 31(10). 1891–1897. 43 indexed citations
15.
Roques, B P, C. Durieux, G. Gacel, et al.. (1985). Studies on the Conformation, Enzymatic Degradation, Pharmacological Potency, and Binding Properties in Brain Tissue of Cholecystokinin‐8 and New Related Peptidesa. Annals of the New York Academy of Sciences. 448(1). 61–75. 6 indexed citations
16.
Sasaki, Naoki, Susumu Funakoshi, Pierre Potìer, et al.. (1985). Synthesis of tritium labelled cholecystokinin derivative : [3H]‐Boc‐[Nle28, 31]‐ CCK27–33. Journal of Labelled Compounds and Radiopharmaceuticals. 22(11). 1123–1133. 6 indexed citations
17.
Gacel, G., et al.. (1982). Rational design and biological properties of highly specific mu and delta opioid peptides.. PubMed. 33. 321–31. 2 indexed citations
18.
Fournié‐Zaluski, Marie‐Claude, G. Gacel, Bernard Maigret, S. Prémilat, & B. P. Roques. (1981). Structural Requirements for Specific Recognition of µ or δ Opiate Receptors. Molecular Pharmacology. 20(3). 484–491. 16 indexed citations
19.
Gacel, G., Marie‐Claude Fournié‐Zaluski, & Bernárd P. Roques. (1980). D‐Tyr—Ser—Gly—Phe—Leu—Thr, a highly preferential ligand for δ‐opiate receptors. FEBS Letters. 118(2). 245–247. 136 indexed citations
20.
Gacel, G., Marie‐Claude Fournié‐Zaluski, Bernárd P. Roques, et al.. (1979). conformation and biological activities of hexapeptides related to enkephalins: Respective roles fo the ammonium and hydroxyl groups of tyrosine. Life Sciences. 24(8). 725–731. 13 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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