Matthieu Daniel

13 papers receiving 241 citations

Matthieu Daniel's Hit Papers

Chikungunya fever 2023 · 120 citations
1200+1+2Years since publication4080120

Peers

Matthieu Daniel
Comparison fields: 5 of 71
  • Infectious Diseases 83
  • Public Health, Environmental and Occupational Health 113
  • Genetics 27
  • Critical Care and Intensive Care Medicine 10
  • Virology 8
Replace Ricardo Correa with:
Ricardo Correa Panama
Guochao Mao China
Aishwarya Sridharan United States
Seong-Wook Sohn South Korea
Yuka Numata Japan
VikramK Mahajan India
Marilyn Buckley United States
Chunlin Zhang China
Chuanmei Zhang China
Yvalena Guillén Paraguay
Matthieu Daniel relative to Ricardo Correa Panama Ricardo Correa's profile →
Citations per field
00.5×5.4×
Ricardo Correa · 1×
Citations per year

Countries citing papers authored by Matthieu Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Chikungunya fever
Hit paper breakdown →
2023120
2 200140
3 202229
4 202327
5 202213
6 20228
7 20215
8 20224
9 20223
10 20212
11 20251
12 20251
13 20231
14 20250

About Matthieu Daniel

Matthieu Daniel is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Genetics, Neurology and Molecular Biology, having authored 14 papers that have together received 254 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (2 papers), Mesenchymal stem cell research (2 papers), Respiratory Support and Mechanisms (2 papers), Vagus Nerve Stimulation Research (2 papers), Nutrition, Genetics, and Disease (1 paper), Airway Management and Intubation Techniques (1 paper), Nosocomial Infections in ICU (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Infectious Diseases (83 citations), Public Health, Environmental and Occupational Health (113 citations), Genetics (27 citations), Critical Care and Intensive Care Medicine (10 citations) and Virology (8 citations). Matthieu Daniel has collaborated with scholars based in France, Réunion and Singapore. Frequent co-authors include Philippe Gasque, Rosanna Ŵ. Peeling, Kevin K. Ariën, Lisa F. P. Ng, Kathryn E. Stephenson, Koen Bartholomeeusen, Yosra Bedoui, Bérénice Doray, Christine Falcoz and Lisa Squassante. Their work appears in journals such as International Journal of Molecular Sciences, Anaesthesia Critical Care & Pain Medicine, Nature Reviews Disease Primers, Autonomic Neuroscience and Acta Neuropathologica Communications.

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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