M.O. Husson

27 papers receiving 387 citations

Peers

M.O. Husson
Comparison fields: 5 of 55
  • Molecular Medicine 170
  • Applied Microbiology and Biotechnology 28
  • Endocrinology 61
  • Clinical Biochemistry 40
  • Pharmacology 94
Replace L. G. Burman with:
L. G. Burman Sweden
N. J. Pearson United Kingdom
Mar Solé Spain
Valeria Crivaro Italy
Nadim G. El Chakhtoura United States
C. J. Henwood United Kingdom
Olivia Gutiérrez Spain
Masaru Komatsu Japan
Patra Koletsi Greece
Maria Tsivitanidou Greece
M.O. Husson relative to L. G. Burman Sweden L. G. Burman's profile →
Citations per field
00.5×3.4×
L. G. Burman · 1×
Citations per year

Countries citing papers authored by M.O. Husson

Since Specialization
Citations

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

Fields of papers citing papers by M.O. Husson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.O. Husson. 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 M.O. Husson. The network helps show where M.O. Husson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992122
2 199878
3 199632
4 199730
5 198227
6 198420
7 200515
8 199111
9 199310
10 200510
11 19889
12 19928
13 20058
14 20088
15 19875
16
[Comparison of the pharmacokinetics of tobramycin administered in a single daily dose or in 3 doses in cystic fibrosis].
19985
17 20084
18 20034
19 19884
20 20013

About M.O. Husson

M.O. Husson is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Molecular Medicine, Pharmacology and Ecology, having authored 30 papers that have together received 426 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (8 papers), Antibiotic Resistance in Bacteria (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Bacteriophages and microbial interactions (6 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Probiotics and Fermented Foods (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Medicine (170 citations), Applied Microbiology and Biotechnology (28 citations), Endocrinology (61 citations), Clinical Biochemistry (40 citations) and Pharmacology (94 citations). M.O. Husson has collaborated with scholars based in France, Algeria and Lebanon. Frequent co-authors include Dominique Turck, H Leclerc, P. Vic, S. Ategbo, D. Sirot, A.L. Courtieu, Chantal Morel, C J Soussy, J Lemozy and F. W. Goldstein. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, European Journal of Pediatrics, Systematic and Applied Microbiology and Clinical Nutrition.

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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