Florence Benoit

31 papers receiving 301 citations

Peers

Florence Benoit
Comparison fields: 5 of 79
  • Microbiology 65
  • Orthopedics and Sports Medicine 70
  • Geriatrics and Gerontology 9
  • Psychiatry and Mental health 34
  • Epidemiology 73
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Michael Mohseni United States
M. van de Laar Netherlands
Elizabeth Williams United States
Selvaraj Sivasubramaniam United Kingdom
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M. Paz Suárez-Mier Spain
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Countries citing papers authored by Florence Benoit

Since Specialization
Citations

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

Fields of papers citing papers by Florence Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196392
2 201333
3 200130
4 201918
5 202118
6 202016
7
Examining the effect of intervention to nutritional problems of hospitalised elderly: a pilot project.
200216
8 202115
9 202114
10 202314
11 202211
12 20208
13 20207
14 20226
15 20216
16 20216
17 20205
18 20193
19
[Acquired myelodysplastic syndromes after treatment of melanoma with fotemustine and dacarbazine].
19952
20 20222

About Florence Benoit

Florence Benoit is a scholar working on Orthopedics and Sports Medicine, Surgery, Psychiatry and Mental health, Physiology and General Health Professions, having authored 37 papers that have together received 336 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (12 papers), Hip and Femur Fractures (7 papers), Dementia and Cognitive Impairment Research (5 papers), Nutrition and Health in Aging (4 papers), Aging, Elder Care, and Social Issues (2 papers), Pelvic and Acetabular Injuries (2 papers), Frailty in Older Adults (2 papers) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Microbiology (65 citations), Orthopedics and Sports Medicine (70 citations), Geriatrics and Gerontology (9 citations), Psychiatry and Mental health (34 citations) and Epidemiology (73 citations). Florence Benoit has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Murielle Surquin, Kurt Segers, Thierry Pepersack, Ingo Beyer, Jean‐Jacques Body, P. Bergmann, Caroline Theunissen, Michel Moreau, Rafik Karmali and Marianne Paesmans. Their work appears in journals such as Osteoporosis International, Psychogeriatrics, Archives of Osteoporosis, Calcified Tissue International and International Journal of Environmental Research and Public Health.

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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