F. Maillot

5.5k citations
150 papers · 2.3k · 1 hit paper · h-index 22

Impact in

Papers in

F. Maillot

130 papers receiving 2.3k citations

Hit Papers

The complete European guidelines on phenylketonuria: diagnosis and treatment 2017 · 531 citations
5310+3+6Years since publication100200300400500

Peers

F. Maillot
Comparison fields: 5 of 108
  • Clinical Biochemistry 1.2k
  • Physiology 962
  • Rheumatology 523
  • Biochemistry 165
  • Neurology 225
Replace Marco Spada with:
Marco Spada Italy
Martina Huemer Austria
Mirian C. H. Janssen Netherlands
Diego Martinelli Italy
Ute Spiekerkoetter Germany
Guy Touati France
Jean Marie Saudubray France
Haruo Shintaku Japan
Klary E. Niezen‐Koning Netherlands
Turgay Coşkun Türkiye
F. Maillot relative to Marco Spada Italy Marco Spada's profile →
Citations per field
00.5×1.5×2.5×
Marco Spada · 1×
Citations per year

Countries citing papers authored by F. Maillot

Since Specialization
Citations

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

Fields of papers citing papers by F. Maillot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The complete European guidelines on phenylketonuria: diagnosis and treatment
Hit paper breakdown →
2017531
2 2017302
3 2020126
4 201163
5 201454
6 200251
7 201150
8 200741
9 200840
10 201740
11 201438
12 201335
13 201633
14 202133
15 200531
16 201929
17 201528
18 200728
19 201827
20 201524

About F. Maillot

F. Maillot is a scholar working on Clinical Biochemistry, Physiology, Rheumatology, Molecular Biology and Neurology, having authored 150 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (51 papers), Diet and metabolism studies (20 papers), Vasculitis and related conditions (16 papers), Lysosomal Storage Disorders Research (16 papers), Mitochondrial Function and Pathology (15 papers), Amino Acid Enzymes and Metabolism (13 papers), Folate and B Vitamins Research (13 papers) and Glycogen Storage Diseases and Myoclonus (10 papers). The work is most often cited by research in Clinical Biochemistry (1.2k citations), Physiology (962 citations), Rheumatology (523 citations), Biochemistry (165 citations) and Neurology (225 citations). F. Maillot has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Maria Giżewska, Kirsten Ahring, Francjan J. van Spronsen, Anita MacDonald, Ania C. Muntau, Friedrich K. Trefz, François Feillet, Vincenzo Leuzzi, Stephan C. J. Huijbregts and Alberto Burlina. Their work appears in journals such as Orphanet Journal of Rare Diseases, Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, The Journal of Rheumatology and Clinical Rheumatology.

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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