Marie Chabot

408 total citations
9 papers, 369 citations indexed

About

Marie Chabot is a scholar working on Molecular Biology, Clinical Psychology and Nutrition and Dietetics. According to data from OpenAlex, Marie Chabot has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Clinical Psychology and 3 papers in Nutrition and Dietetics. Recurrent topics in Marie Chabot's work include Fatty Acid Research and Health (3 papers), Psychoanalysis and Psychopathology Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Marie Chabot is often cited by papers focused on Fatty Acid Research and Health (3 papers), Psychoanalysis and Psychopathology Research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Marie Chabot collaborates with scholars based in United States and Canada. Marie Chabot's co-authors include Robert L. Wykle, Larry W. Daniel, Linda C. McPhail, Charles E. McCall, D E Agwu, Edward J. Modest, Charles E. McCall, Donald A. Kennerly, Jeffrey D. Schmitt and Bill C. Bullock and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and FEBS Letters.

In The Last Decade

Marie Chabot

9 papers receiving 352 citations

Peers

Marie Chabot
Comparison fields: 5 of 67
  • Molecular Biology 244
  • Immunology 90
  • Physiology 77
  • Biochemistry 63
  • Nutrition and Dietetics 40
Replace Françoise Gasnier with:
Françoise Gasnier France
Gérard Ribbes France
Alain Fairand France
Tadashi Hírakawa Japan
S J Adelman United States
Zachary T. Kelleher United States
Kimihisa Yoshida Japan
Mikiko Kishi Japan
Thanh-Phuong Thai Germany
Shozo Nakamoto Japan
Françoise Gasnier France View profile →
Citations per field, relative to Marie Chabot
Marie Chabot · 1×
Citations per year, relative to Marie Chabot
Marie Chabot · 1×

Countries citing papers authored by Marie Chabot

Since Specialization
Citations

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

Fields of papers citing papers by Marie Chabot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Chabot

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Chabot. A scholar is included among the top collaborators of Marie Chabot 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 Marie Chabot. Marie Chabot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 3
2 7
3 9
4 25
5
Ether-linked phosphoglyceride content of human leukemia cells.
22
6 14
7 218
8
Correlation of ether lipid content of human leukemia cell lines and their susceptibility to 1-O-octadecyl-2-O-methyl-rac-glycero-3-phosphocholine.
51
9 20

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026