M. Vidal

35 papers receiving 460 citations

Peers

M. Vidal
Comparison fields: 5 of 89
  • Infectious Diseases 166
  • Rehabilitation 58
  • Endocrinology, Diabetes and Metabolism 100
  • Emergency Medical Services 34
  • Neurology 67
Replace Olivier Robineau with:
Olivier Robineau France
Semra Çalangu Türkiye
Azar Hadadi Iran
Pradhib Venkatesan United Kingdom
Karine Astruc France
Kay C. Canupp United States
Lisa Steele United States
Sarah S. Long United States
Irmeli Roine Chile
Helene Calvet United States
M. Vidal relative to Olivier Robineau France Olivier Robineau's profile →
Citations per field
00.5×4.9×
Olivier Robineau · 1×
Citations per year

Countries citing papers authored by M. Vidal

Since Specialization
Citations

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

Fields of papers citing papers by M. Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201070
2 202053
3 202134
4 201034
5 200730
6 201929
7 202228
8 201625
9 200517
10 200917
11 200515
12 201211
13 201311
14 200910
15
T-Cell surface CCR5 density is not correlated with hepatitis severity in hepatitis C virus/HIV-coinfected individuals: implications for the therapeutic use of CCR5 antagonists.
200510
16 20189
17 20168
18 20178
19 20147
20 20066

About M. Vidal

M. Vidal is a scholar working on Issues, ethics and legal aspects, Infectious Diseases, Clinical Biochemistry, Rehabilitation and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 475 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (6 papers), Streptococcal Infections and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Antifungal resistance and susceptibility (4 papers), Aging, Health, and Disability (3 papers), Wound Healing and Treatments (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Infectious Diseases (166 citations), Rehabilitation (58 citations), Endocrinology, Diabetes and Metabolism (100 citations), Emergency Medical Services (34 citations) and Neurology (67 citations). M. Vidal has collaborated with scholars based in France, Chile and Spain. Frequent co-authors include O. Lesens, H. Laurichesse, J. Beytout, Natacha Mrozek, Igor Tauveron, F. Desbiez, Stéphane Descamps, Bruno Pereira, Frédéric Robin and Manuel Castro Salas. Their work appears in journals such as Clinical Microbiology and Infection, Diagnostic Microbiology and Infectious Disease, European Journal of Clinical Microbiology & Infectious Diseases, Orthopaedics & Traumatology Surgery & Research and Frontiers in Immunology.

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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