Florent Masia

13 papers receiving 506 citations

Florent Masia's Hit Papers

Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study 2017 · 391 citations
3910+3+6Years since publication100200300

Peers

Florent Masia
Comparison fields: 5 of 71
  • Biotechnology 256
  • Microbiology 53
  • Obstetrics and Gynecology 57
  • Food Science 148
  • Reproductive Medicine 37
Replace Paul Marzouk with:
Paul Marzouk France
Olivier Toullalan France
Anne Le Dû France
Emmanuel Ardiet France
Thierry Harvey France
Ghada Hatem Egypt
Soumeth Abasse France
Stéphane Leroux France
Claire Lecomte France
Romain Lemarié France
Florent Masia relative to Paul Marzouk France Paul Marzouk's profile →
Citations per field
00.5×1.5×
Paul Marzouk · 1×
Citations per year

Countries citing papers authored by Florent Masia

Since Specialization
Citations

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

Fields of papers citing papers by Florent Masia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Florent Masia, 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 Florent Masia Line = papers co-authored together Florent Masia links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study
Hit paper breakdown →
2017391
2 201530
3 201923
4 201916
5 202215
6 201511
7 20128
8 20128
9 20126
10 20164
11 20003
12 20162
13 20232
14 20150
15 20210

About Florent Masia

Florent Masia is a scholar working on Obstetrics and Gynecology, Rheumatology, Reproductive Medicine, Pediatrics, Perinatology and Child Health and Surgery, having authored 15 papers that have together received 519 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (4 papers), Anorectal Disease Treatments and Outcomes (4 papers), Uterine Myomas and Treatments (4 papers), Maternal and fetal healthcare (3 papers), Endometriosis Research and Treatment (3 papers), Pelvic and Acetabular Injuries (3 papers), Ectopic Pregnancy Diagnosis and Management (2 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Biotechnology (256 citations), Microbiology (53 citations), Obstetrics and Gynecology (57 citations), Food Science (148 citations) and Reproductive Medicine (37 citations). Florent Masia has collaborated with scholars based in France, Germany and Austria. Frequent co-authors include Renaud de Tayrac, V. Letouzey, P. Marès, Stéphanie Huberlant, E. Mousty, Daniela Ulrich, Noémie Ranisavljevic, Sophie Bastide, Sylvie Ripart-Neveu and Lana Zoric. Their work appears in journals such as Scientific Reports, The Lancet Infectious Diseases, Anaesthesia Critical Care & Pain Medicine, Australian and New Zealand Journal of Obstetrics and Gynaecology and International Journal of Medical Robotics and Computer Assisted Surgery.

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.

Explore authors with similar magnitude of impact