F. Mailly

21 papers receiving 622 citations

Peers

F. Mailly
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 379
  • Cardiology and Cardiovascular Medicine 348
  • Surgery 285
  • Cancer Research 84
  • Biochemistry 35
Replace Reiling Peng with:
Reiling Peng United States
Jeroen A. Sierts Netherlands
Heidi E. Lilja Finland
Yuxuan Ma Canada
David Galton United Kingdom
T. Bruin Netherlands
Alinda W.M. Schimmel Netherlands
S. Olofsson Sweden
Rossella Spina Italy
Anitra C. Wolf United States
F. Mailly relative to Reiling Peng United States Reiling Peng's profile →
Citations per field
00.5×2.7×
Reiling Peng · 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 1995127
2 1996112
3 199673
4 199653
5 199453
6 199646
7 199737
8 199425
9 199123
10 199420
11 199220
12 199018
13 19968
14 20094
15 19933
16 20142
17
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
18 19972
19 20222
20 19931

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 632 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), Genetic Associations and Epidemiology (2 papers), PARP inhibition in cancer therapy (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Cardiology and Cardiovascular Medicine (348 citations), Surgery (285 citations), Cancer Research (84 citations) and Biochemistry (35 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, Ryoko Harada, Ginette Bérubé, S J Phillips, Alain Nepveu, Anders Hamsten, Rachel M. Fisher and George J. Miller. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, Human Mutation, Journal of Molecular Medicine and Molecular and Cellular Biology.

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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