J Lacapère

6.1k citations
117 papers · 5.0k indexed · 1 hit paper · h-index 31
Topics
ATP Synthase and ATPases Research (15 papers)Lipid Membrane Structure and Behavior (15 papers)Neuroscience and Neuropharmacology Research (14 papers)

In The Last Decade

J Lacapère

106 papers receiving 4.9k citations

Hit Papers

Translocator protein (18kDa): new nomenclature for the pe...200620262012201920062505007501000

Peers

J Lacapère
Comparison fields: 5 of 123
  • Molecular Biology 3.1k
  • Cellular and Molecular Neuroscience 963
  • Cell Biology 637
  • Oncology 540
  • Physiology 512
Replace Maria Teresa Ciotti with:
Maria Teresa Ciotti Italy
François Ichas France
Menno van Lookeren Campagne United States
Kimmo J. Hatanpaa United States
Rony Nuydens Belgium
Tullio Florio Italy
Robert Bachoo United States
Cynthia T. McMurray United States
Danica Stanimirovic Canada
Carsten Schultz Germany
J Lacapère relative to Maria Teresa Ciotti Italy Maria Teresa Ciotti's profile →
Citations per field
00.5×1.6×
Maria Teresa Ciotti · 1×
Citations per year

Countries citing papers authored by J Lacapère

Since Specialization
Citations

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

Fields of papers citing papers by J Lacapère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Lacapère

This figure shows the co-authorship network connecting the top 25 collaborators of J Lacapère. A scholar is included among the top collaborators of J Lacapère 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 J Lacapère. J Lacapère 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 0
2 3
3 1
4 2
5 9
6 25
7 8
8 66
9 7
10 81
11 58
12 55
13 18
14 82
15 198
16 3
17 14
18 27
19 114
20 54

About J Lacapère

J Lacapère is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 117 papers that have together received 5.0k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (15 papers), Lipid Membrane Structure and Behavior (15 papers) and Neuroscience and Neuropharmacology Research (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (963 citations), Molecular Biology (3.1k citations) and Neurology (330 citations). J Lacapère has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Vassilios Papadopoulos, Peter Lindemann, Ming-Rong Zhang, David Nutt, Thomas B. Knudsen, Michael D. Norenberg, Tomás R. Guilarte, Moshe Gavish, Abraham Weizman and Mario Baraldi. Their work appears in journals such as Science, Journal of the American Chemical Society 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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