Grégory De Crescenzo

4.6k citations
137 papers · 3.8k indexed · h-index 34

Grégory De Crescenzo

132 papers receiving 3.7k citations

Peers

Grégory De Crescenzo
Comparison fields: 5 of 132
  • Surfaces, Coatings and Films 477
  • Biomaterials 837
  • Molecular Medicine 172
  • Molecular Biology 2.0k
  • Biomedical Engineering 845
Replace Debra T. Auguste with:
Debra T. Auguste United States
Benoı̂t Frisch France
Shawn C. Owen United States
Keiji Itaka Japan
Anuradha Subramanian United States
Yuuki Inoue Japan
Tetsuji Yamaoka Japan
Ning‐Ping Huang China
Yan Lee South Korea
Sung‐Hwan Moon South Korea
Grégory De Crescenzo relative to Debra T. Auguste United States Debra T. Auguste's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Grégory De Crescenzo

Since Specialization
Citations

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

Fields of papers citing papers by Grégory De Crescenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grégory De Crescenzo. 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 Grégory De Crescenzo. The network helps show where Grégory De Crescenzo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20245
3 202260
4 202129
5 202117
6 202015
7 20188
8 201643
9 201654
10 20155
11 20141
12 201211
13 20124
14 200831
15 200565
16 200430
17 200438
18 200310
19 20039
20 200226

About Grégory De Crescenzo

Grégory De Crescenzo is a scholar working on Surfaces, Coatings and Films, Biomaterials, Molecular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 137 papers that have together received 3.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (38 papers), Polymer Surface Interaction Studies (20 papers), 3D Printing in Biomedical Research (16 papers), Advanced Biosensing Techniques and Applications (16 papers), Advanced biosensing and bioanalysis techniques (15 papers), Electrospun Nanofibers in Biomedical Applications (14 papers), Glycosylation and Glycoproteins Research (14 papers) and Protein purification and stability (11 papers). The work is most often cited by research in Surfaces, Coatings and Films (477 citations), Biomaterials (837 citations), Molecular Medicine (172 citations), Molecular Biology (2.0k citations) and Biomedical Engineering (845 citations). Grégory De Crescenzo has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Benoît Liberelle, Maureen D. O'Connor‐McCourt, Yves Durocher, Mario Jolicœur, Samantha Joan Noel, Frédéric Murschel, Nahum Sonenberg, Avak Kahvejian, Xavier Banquy and Michael D. Buschmann. Their work appears in journals such as Biomacromolecules, Journal of Biological Chemistry, Bioconjugate Chemistry, Scientific Reports and Acta Biomaterialia.

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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