Nicolas Chabot

11 papers receiving 525 citations

Hit Papers

Assessment of Four Engineered PET Degrading Enzymes Considering Large-Scale Industrial Applications 2023 · 133 citations
1330+1+2Years since publication4080120

Peers

Nicolas Chabot
Comparison fields: 5 of 90
  • Pollution 101
  • Biomaterials 92
  • Cell Biology 108
  • Industrial and Manufacturing Engineering 43
  • Pulmonary and Respiratory Medicine 129
Replace Shuang Gao with:
Shuang Gao China
Yamei Wu China
Xinyu Yang China
Yilin Zhao China
Martina Chiu Italy
Catherine Diao Canada
D. Sh. Dzhalilova Russia
Eva Costanzi Italy
Susan Wijnhoven Netherlands
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Citations per year

Countries citing papers authored by Nicolas Chabot

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Chabot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013150
2
Assessment of Four Engineered PET Degrading Enzymes Considering Large-Scale Industrial Applications
Hit paper breakdown →
2023133
3 201570
4 201149
5 200840
6 200630
7 201021
8 201118
9 201712
10 20084
11 20091

About Nicolas Chabot

Nicolas Chabot is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Biomaterials and Cell Biology, having authored 11 papers that have together received 528 indexed citations. Recurring topics across this work include Blood properties and coagulation (6 papers), Skin and Cellular Biology Research (2 papers), biodegradable polymer synthesis and properties (2 papers), Tendon Structure and Treatment (1 paper), Celiac Disease Research and Management (1 paper), Cancer Research and Treatments (1 paper), Radiation Effects and Dosimetry (1 paper) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Pollution (101 citations), Biomaterials (92 citations), Cell Biology (108 citations), Industrial and Manufacturing Engineering (43 citations) and Pulmonary and Respiratory Medicine (129 citations). Nicolas Chabot has collaborated with scholars based in Canada, France and Belgium. Frequent co-authors include Jeffrey W. Keillor, Scott T. Brady, Yuyu Song, Alexander Schilling, Laura Kirkpatrick, Donald L. Helseth, Gail V.W. Johnson, Vincent Tournier, Sabine Gavalda and Gert Weber. Their work appears in journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Canadian Journal of Chemistry, Journal of Applied Microbiology, Advances in enzymology and related areas of molecular biology/Advances in enzymology and related subjects and Journal of Medicinal Chemistry.

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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