M Ayrault-Jarrier
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Cancer Research
- Cardiology and Cardiovascular Medicine
- Co-authors
- D. PastierJ. PolonovskiCarolyn Knight‐GibsonÉric BruckertClaire Sampankanpanich SoriaJoão SousaG. BéréziatJ Caen
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers)Cancer, Lipids, and Metabolism (15 papers)Lipoproteins and Cardiovascular Health (10 papers)
- Partner nations
- FranceUnited StatesTunisia
In The Last Decade
M Ayrault-Jarrier
42 papers receiving 484 citations
Peers
Comparison fields: 5 of 75
- Surgery 187
- Endocrinology, Diabetes and Metabolism 178
- Molecular Biology 172
- Cancer Research 102
- Cardiology and Cardiovascular Medicine 60
Countries citing papers authored by M Ayrault-Jarrier
This map shows the geographic impact of M Ayrault-Jarrier'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 M Ayrault-Jarrier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Ayrault-Jarrier more than expected).
Fields of papers citing papers by M Ayrault-Jarrier
This network shows the impact of papers produced by M Ayrault-Jarrier. 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 M Ayrault-Jarrier. The network helps show where M Ayrault-Jarrier may publish in the future.
Co-authorship network of co-authors of M Ayrault-Jarrier
This figure shows the co-authorship network connecting the top 25 collaborators of M Ayrault-Jarrier. A scholar is included among the top collaborators of M Ayrault-Jarrier 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 M Ayrault-Jarrier. M Ayrault-Jarrier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 26 | |
| 3 | 33 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | [Preparation and seric form of rabbit C reactive protein]. | 13 |
| 16 | [Immunologic study of human low density lipoproteins]. | 3 |
| 17 | [Binding of delta-8-THC to human serum proteins: binding as a function of lipoprotein composition]. | 2 |
| 18 | [Study of the antigenicity of human serum beta-lipoprotein. I]. | 1 |
| 19 | 2 | |
| 20 | [Influence of detergents on the electrophoretic mobility of isolated serum lipoproteins]. | 1 |
About M Ayrault-Jarrier
M Ayrault-Jarrier is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 44 papers that have together received 506 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Cancer, Lipids, and Metabolism (15 papers) and Lipoproteins and Cardiovascular Health (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (178 citations), Cancer Research (102 citations) and Clinical Biochemistry (36 citations). M Ayrault-Jarrier has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include D. Pastier, J. Polonovski, Carolyn Knight‐Gibson, Éric Bruckert, Claire Sampankanpanich Soria, João Sousa, G. Béréziat, J Caen, Jean Amiral and Bernard Pau. Their work appears in journals such as Biochemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.