Pierre Arvis

28 papers receiving 758 citations

Peers

Pierre Arvis
Comparison fields: 5 of 69
  • Applied Microbiology and Biotechnology 32
  • Microbiology 92
  • Molecular Medicine 57
  • Pharmacology 161
  • Epidemiology 289
Replace Glenn S. Tillotson with:
Glenn S. Tillotson United States
B Hampel Germany
Juan-José Granizo Spain
Daniel Havlichek United States
M. Thomas United States
J. D. Sleigh United Kingdom
A.P.R. Wilson United Kingdom
R. Rex Williams United States
Jane Thomas Australia
Jeanne D. Breen United States
Pierre Arvis relative to Glenn S. Tillotson United States Glenn S. Tillotson's profile →
Citations per field
00.5×1.7×
Glenn S. Tillotson · 1×
Citations per year

Countries citing papers authored by Pierre Arvis

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Arvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200196
2 201167
3 200865
4 201158
5 201249
6 201148
7 200648
8 200946
9 201243
10 201040
11 201236
12 200333
13 200332
14 200325
15 200320
16 201518
17 201217
18 201311
19 201211
20 201010

About Pierre Arvis

Pierre Arvis is a scholar working on Epidemiology, Pharmacology, Pulmonary and Respiratory Medicine, Microbiology and Otorhinolaryngology, having authored 29 papers that have together received 803 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Sinusitis and nasal conditions (3 papers), Bacterial Infections and Vaccines (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Respiratory and Cough-Related Research (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Microbiology (92 citations), Molecular Medicine (57 citations), Pharmacology (161 citations) and Epidemiology (289 citations). Pierre Arvis has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Peter Reimnitz, Jeff Alder, Daniel Haverstock, Marc Miravitlles, P Petitpretz, J. Moita, Paul M. Tulkens, B Hampel, Inge C. Gyssens and Robert Wilson. Their work appears in journals such as Infection, International Journal of Antimicrobial Agents, European Respiratory Journal, Journal of Chemotherapy and CHEST Journal.

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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