L.A. Pradel

893 citations
23 papers · 790 indexed · h-index 15

Impact in

    • Cellular transport and secretion
    • S100 Proteins and Annexins
    • Enzyme function and inhibition
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
    • Ion channel regulation and function

Papers in

    • Cellular transport and secretion 3
    • Skin and Cellular Biology Research 2
    • Amino Acid Enzymes and Metabolism 2

L.A. Pradel

23 papers receiving 748 citations

Peers

L.A. Pradel
Comparison fields: 5 of 76
  • Cell Biology 274
  • Molecular Biology 642
  • Cancer Research 89
  • Biochemistry 34
  • Cellular and Molecular Neuroscience 81
Replace Elzbieta Radzio‐Andzelm with:
Elzbieta Radzio‐Andzelm United States
Louise‐Anne Pradel France
Drell A. Bottorff Canada
Susan Young United States
Robert A. Horlick United States
Phillip Dicker United Kingdom
Kozo Ajiro Japan
Suzanne Graham United States
Jürgen Kast Germany
Jack M. Webster United States
L.A. Pradel relative to Elzbieta Radzio‐Andzelm United States Elzbieta Radzio‐Andzelm's profile →
Citations per field
00.5×1.5×1.9×
Elzbieta Radzio‐Andzelm · 1×
Citations per year

Countries citing papers authored by L.A. Pradel

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Pradel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Pradel. 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 L.A. Pradel. The network helps show where L.A. Pradel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside L.A. Pradel, 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 L.A. Pradel Line = papers co-authored together L.A. Pradel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 1996102
3 19938
4 19911
5 199127
6 199135
7 1991177
8 19895
9 198737
10 198051
11 197936
12 197740
13 19777
14 19769
15 197025
16 197042
17 196922
18 196735
19 196641
20 19607

About L.A. Pradel

L.A. Pradel is a scholar working on Cell Biology, Biochemistry, Sensory Systems, Molecular Biology and Biomaterials, having authored 23 papers that have together received 790 indexed citations. Recurring topics across this work include Enzyme function and inhibition (5 papers), Biochemical and Molecular Research (3 papers), Cellular transport and secretion (3 papers), S100 Proteins and Annexins (3 papers), Enzyme Structure and Function (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Skin and Cellular Biology Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cell Biology (274 citations), Molecular Biology (642 citations), Cancer Research (89 citations), Biochemistry (34 citations) and Cellular and Molecular Neuroscience (81 citations). L.A. Pradel has collaborated with scholars based in France, Venezuela and Italy. Frequent co-authors include M F Bader, Dominique Aunis, Jean‐Pierre Henry, Claude Roustan, Abdellatif Fattoum, Elisabeth der Terrossian, Rhida Kassab, Ridha Kassab, Nguyen‐Van Thoai and Thierry Frappier. Their work appears in journals such as The Journal of Cell Biology, European Journal of Biochemistry, Biochemistry, FEBS Letters and Nature Cell Biology.

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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