Michel Jadot

3.5k citations
75 papers · 2.8k indexed · 1 hit paper · h-index 25

Impact in

  • Physiology top 0.5%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Cellular transport and secretion

Papers in

    • Cellular transport and secretion 22
    • Lysosomal Storage Disorders Research 16
    • Calcium signaling and nucleotide metabolism 7
    • Erythrocyte Function and Pathophysiology 6

Michel Jadot

74 papers receiving 2.8k citations

Hit Papers

Identification of HE1 as the Second Gene of Niemann-Pick C Disease 2000 · 666 citations
6662000202620082017200400600

Peers

Michel Jadot
Comparison fields: 5 of 106
  • Physiology 400
  • Cell Biology 906
  • Physiology 958
  • Molecular Biology 1.5k
  • Immunology 268
Replace Aarnoud C. van der Spoel with:
Aarnoud C. van der Spoel United Kingdom
Yukio Ikehara Japan
Michel Dominguez Canada
Jeffrey H. Stack United States
Nancy Dahms United States
Bernadette Breiden Germany
Yanzhuang Wang United States
Lisette Leyton Chile
Brian P. Ceresa United States
Yuxin Mao United States
Michel Jadot relative to Aarnoud C. van der Spoel United Kingdom Aarnoud C. van der Spoel's profile →
Citations per field
00.5×1.7×
Aarnoud C. van der Spoel · 1×
Citations per year

Countries citing papers authored by Michel Jadot

Since Specialization
Citations

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

Fields of papers citing papers by Michel Jadot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202315
3 20224
4 201220
5 20088
6 20077
7 200619
8 20056
9 200462
10 200419
11 200133
12 2000183
13 199929
14 199972
15 199862
16 199755
17 199515
18 19946
19 19934
20 199012

About Michel Jadot

Michel Jadot is a scholar working on Cell Biology, Physiology, Physiology, Molecular Biology and Biotechnology, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (22 papers), Lysosomal Storage Disorders Research (16 papers), Glycosylation and Glycoproteins Research (13 papers), Pancreatic function and diabetes (9 papers), RNA Interference and Gene Delivery (8 papers), Lipid Membrane Structure and Behavior (8 papers), Calcium signaling and nucleotide metabolism (7 papers) and Erythrocyte Function and Pathophysiology (6 papers). The work is most often cited by research in Physiology (400 citations), Cell Biology (906 citations), Physiology (958 citations), Molecular Biology (1.5k citations) and Immunology (268 citations). Michel Jadot has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Robert Wattiaux, Peter Lobel, David E. Sleat, Simone Wattiaux‐De Coninck, Henry Lackland, Marie T. Vanier, Anthony H. Fensom, Saule Naureckiene, Marielle Boonen and Michèle Lecocq. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemical Journal, European Journal of Biochemistry, Molecular & Cellular Proteomics and Biology of the Cell.

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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