F. Mailly

21 papers receiving 633 citations

Peers

F. Mailly
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 323
  • Cardiology and Cardiovascular Medicine 320
  • Surgery 245
  • Cancer Research 76
  • Biochemistry 30
Replace Jeroen A. Sierts with:
Jeroen A. Sierts Netherlands
David Galton United Kingdom
T. Bruin Netherlands
S. Olofsson Sweden
Alinda W.M. Schimmel Netherlands
Sonja Ehnholm Finland
André van der Zee Netherlands
Stephanie DerOhannessian United States
Karin van den Oever Netherlands
Rossella Spina Italy
F. Mailly relative to Jeroen A. Sierts Netherlands Jeroen A. Sierts's profile →
Citations per field
00.5×1.5×2.1×
Jeroen A. Sierts · 1×
Citations per year

Countries citing papers authored by F. Mailly

Since Specialization
Citations

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

Fields of papers citing papers by F. Mailly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995133
2 1996112
3 199673
4 199655
5 199455
6 199647
7 199738
8 199425
9 199124
10 199420
11 199219
12 199018
13 19968
14 20095
15 19933
16 20223
17 20142
18
Gene-environment interaction in determining plasma lipids and dietary response: the effect of common mutations in the gene for lipoprotein lipase (D9N and N291S)
19962
19 19972
20 19951

About F. Mailly

F. Mailly is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Genetics, having authored 21 papers that have together received 646 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipid metabolism and disorders (12 papers), Lipoproteins and Cardiovascular Health (9 papers), Forensic and Genetic Research (3 papers), Diabetes Management and Research (2 papers), Gene expression and cancer classification (2 papers), Genetic Associations and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (323 citations), Cardiology and Cardiovascular Medicine (320 citations), Surgery (245 citations), Cancer Research (76 citations) and Biochemistry (30 citations). F. Mailly has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Steve E. Humphries, Philippa J. Talmud, Mary Seed, Anders Hamsten, Ginette Bérubé, Alain Nepveu, Ryoko Harada, S J Phillips, Rachel M. Fisher and George J. Miller. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, Journal of Molecular Medicine, Human Mutation and European Journal of Clinical Investigation.

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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