Jean‐Luc Galzi

6.5k citations
71 papers · 5.3k indexed · h-index 35
Topics
Receptor Mechanisms and Signaling (34 papers)Nicotinic Acetylcholine Receptors Study (21 papers)Ion channel regulation and function (17 papers)

In The Last Decade

Jean‐Luc Galzi

71 papers receiving 5.2k citations

Peers

Jean‐Luc Galzi
Comparison fields: 5 of 117
  • Molecular Biology 4.3k
  • Cellular and Molecular Neuroscience 2.1k
  • Pharmacology 658
  • Insect Science 347
  • Oncology 336
Replace Ferdinand Hucho with:
Ferdinand Hucho Germany
William N. Green United States
Vytautas P. Bindokas United States
Atsuko Yamashita Japan
Tung M. Fong United States
Steven M. Sine United States
J. Craig Venter United States
Elliott M. Ross United States
Jonathan D. Violin United States
Ronald Taussig United States
Jean‐Luc Galzi relative to Ferdinand Hucho Germany Ferdinand Hucho's profile →
Citations per field
00.5×1.5×2.3×
Ferdinand Hucho · 1×
Citations per year

Countries citing papers authored by Jean‐Luc Galzi

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Luc Galzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Luc Galzi. 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 Jean‐Luc Galzi. The network helps show where Jean‐Luc Galzi may publish in the future.

Co-authorship network of co-authors of Jean‐Luc Galzi

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Luc Galzi. A scholar is included among the top collaborators of Jean‐Luc Galzi 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 Jean‐Luc Galzi. Jean‐Luc Galzi 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
#WorkIndexed citations
1 2
2 2
3 1
4 5
5 59
6 6
7 24
8 18
9 72
10 32
11 233
12 42
13 29
14 40
15 8
16 127
17 52
18 345
19 144
20 65

About Jean‐Luc Galzi

Jean‐Luc Galzi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Immunology, having authored 71 papers that have together received 5.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Nicotinic Acetylcholine Receptors Study (21 papers) and Ion channel regulation and function (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Molecular Biology (4.3k citations) and Pharmacology (658 citations). Jean‐Luc Galzi has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Jean‐Pierre Changeux, Daniel Bertrand, Anne Devillers‐Thiéry, Jean Pierre Changeux, Frédéric Revah, Sonia Bertrand, S. Bertrand, Nicolas Hussy, Jean-Luc Eiselé and Pierre‐Jean Corringer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological 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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