Marie Sanson

2.1k citations
12 papers · 1.7k indexed · h-index 11

Impact in

Papers in

Marie Sanson

11 papers receiving 1.6k citations

Peers

Marie Sanson
Comparison fields: 5 of 94
  • Immunology 693
  • Clinical Biochemistry 109
  • Endocrinology, Diabetes and Metabolism 245
  • Cancer Research 181
  • Epidemiology 388
Replace Eric A. Shikatani with:
Eric A. Shikatani Canada
James X. Rong United States
Jerzy‐Roch Nofer Germany
Anny Mulya United States
Michèle Geoffrion Canada
Talija Djordjevic Germany
Anthony G. Passerini United States
Mandy O. J. Grootaert Belgium
Ming‐Jiang Xu China
Huaiping Zhu United States
Marie Sanson relative to Eric A. Shikatani Canada Eric A. Shikatani's profile →
Citations per field
00.5×2.6×
Eric A. Shikatani · 1×
Citations per year

Countries citing papers authored by Marie Sanson

Since Specialization
Citations

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

Fields of papers citing papers by Marie Sanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202137
2 2015252
3 201386
4 201263
5 2011250
6 2011404
7 2011115
8
Frequent phosphodiesterase 11a (pde11a4) gene mutations in patients with carney complex (cnc) due to prkar1a mutations and adrenal (ppnad) and Sertoli cell tumors (lccsct): a digenic disorder?
20100
9 2010146
10 2008161
11 200744
12 2007108

About Marie Sanson

Marie Sanson is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology, Immunology and Allergy, Clinical Biochemistry and Biochemistry, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cholesterol and Lipid Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Sphingolipid Metabolism and Signaling (2 papers), RNA regulation and disease (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Immunology (693 citations), Clinical Biochemistry (109 citations), Endocrinology, Diabetes and Metabolism (245 citations), Cancer Research (181 citations) and Epidemiology (388 citations). Marie Sanson has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Edward A. Fisher, Emilie Distel, Michael J. Garabedian, Yuliya Vengrenyuk, Jonathan E. Feig, Robert Salvayre, Anne Nègre‐Salvayre, Nathalie Augè, Sandra Abramowicz and Carrie L. Welch. Their work appears in journals such as Journal of Clinical Investigation, Clinical Endocrinology, Endocrinology, Diabetes and Circulation Research.

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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