J.‐C. Pairon

24 papers receiving 318 citations

Peers

J.‐C. Pairon
Comparison fields: 5 of 72
  • Health, Toxicology and Mutagenesis 74
  • Pulmonary and Respiratory Medicine 120
  • Developmental Neuroscience 13
  • Modeling and Simulation 11
  • Materials Chemistry 111
Replace Olaf Hagemeyer with:
Olaf Hagemeyer Germany
Monita Sharma United States
Mohamed Abdelgied Japan
Howard D. Leonard United States
Motoi Todoroki Japan
Hitomi Kondo Japan
Kuan-Yuan Chen Taiwan
Masayoshi Hashiba Japan
Elena Szabová Slovakia
Carina Muoth Switzerland
J.‐C. Pairon relative to Olaf Hagemeyer Germany Olaf Hagemeyer's profile →
Citations per field
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Olaf Hagemeyer · 1×
Citations per year

Countries citing papers authored by J.‐C. Pairon

Since Specialization
Citations

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

Fields of papers citing papers by J.‐C. Pairon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.‐C. Pairon. 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 J.‐C. Pairon. The network helps show where J.‐C. Pairon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 200226
3 200726
4 201122
5 201520
6 199017
7 202016
8 199412
9 20099
10 20148
11
[Role of biometric analysis in the retrospective assessment of exposure to asbestos].
19998
12
[Occupational chronic obstructive pulmonary disease: a poorly understood disease].
20067
13 19974
14 20204
15 20014
16 20204
17 20064
18 20114
19 20132
20 20242

About J.‐C. Pairon

J.‐C. Pairon is a scholar working on Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Oncology and Infectious Diseases, having authored 28 papers that have together received 332 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (13 papers), Occupational exposure and asthma (5 papers), Air Quality and Health Impacts (4 papers), Infection Control and Ventilation (2 papers), Nanoparticles: synthesis and applications (2 papers), Graphene and Nanomaterials Applications (2 papers), COVID-19 and healthcare impacts (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (74 citations), Pulmonary and Respiratory Medicine (120 citations), Developmental Neuroscience (13 citations), Modeling and Simulation (11 citations) and Materials Chemistry (111 citations). J.‐C. Pairon has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Sophie Lanone, Jorge Boczkowski, Cyrill Bussy, Alain Grodet, Lyes Tabet, Michel J. Rossi, Nadia Amara, A. Setyan, Patrick Brochard and J. Ameille. Their work appears in journals such as Occupational and Environmental Medicine, American Journal of Respiratory Cell and Molecular Biology, Biostatistics, Journal of Toxicology and Environmental Health and Lung Cancer.

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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