F. Moal

4.8k citations
60 papers · 3.9k · h-index 34

Impact in

Papers in

F. Moal

59 papers receiving 3.7k citations

Peers

F. Moal
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 1k
  • Sensory Systems 275
  • Reproductive Medicine 426
  • Genetics 844
  • Pulmonary and Respiratory Medicine 827
Replace Silvana Guioli with:
Silvana Guioli United Kingdom
Eric Schoenmakers Belgium
Massimo Signore United Kingdom
Akira Kinoshita Japan
Keiko Wakui Japan
Laurence Jonard France
Lynn Greenhalgh United Kingdom
Gerald Goh United States
V. Cacheux France
James O’Sullivan United Kingdom
F. Moal relative to Silvana Guioli United Kingdom Silvana Guioli's profile →
Citations per field
00.5×5×10×14.8×
Silvana Guioli · 1×
Citations per year

Countries citing papers authored by F. Moal

Since Specialization
Citations

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

Fields of papers citing papers by F. Moal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010458
2 2001215
3 2007210
4 2017195
5 2012155
6 2019152
7 1994135
8 2013135
9 1997132
10 1996125
11 2007120
12 2016117
13 1998107
14 1998106
15 199394
16 201687
17 200985
18 200381
19 201279
20 201577

About F. Moal

F. Moal is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Genetics, Immunology and Reproductive Medicine, having authored 60 papers that have together received 3.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (17 papers), Cystic Fibrosis Research Advances (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Inflammasome and immune disorders (7 papers), Genetic and Kidney Cyst Diseases (7 papers), Genomics and Rare Diseases (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1k citations), Sensory Systems (275 citations), Reproductive Medicine (426 citations), Genetics (844 citations) and Pulmonary and Respiratory Medicine (827 citations). F. Moal has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Michel Goossens, Serge Amselem, Philippe Duquesnoy, Sandrine Marlin, Nadège Bondurand, Véronique Pingault, Marie‐Laure Sobrier, Bénédicte Duriez, Irène Netchine and Nathalie Collot. Their work appears in journals such as The American Journal of Human Genetics, Human Mutation, The Journal of Clinical Endocrinology & Metabolism, Journal of Medical Genetics and European Journal of Human Genetics.

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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