Dan Lacroix

1.7k citations
28 papers · 1.3k · h-index 14

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Tissue Engineering and Regenerative Medicine 8
    • Electrospun Nanofibers in Biomedical Applications 9

Dan Lacroix

27 papers receiving 1.3k citations

Peers

Dan Lacroix
Comparison fields: 5 of 105
  • Pharmacology 190
  • Biomaterials 249
  • Rehabilitation 82
  • Endocrine and Autonomic Systems 66
  • Agronomy and Crop Science 86
Replace Itamar Goren with:
Itamar Goren Germany
Shinn‐Chih Wu Taiwan
Tomo Yonezawa Japan
Zhiqiang Yang China
Mengyuan Liu China
Amparo Ruiz‐Saurí Spain
Juan Du China
Mikihito Kajiya Japan
Christin M. Lepus United States
Dan Lacroix relative to Itamar Goren Germany Itamar Goren's profile →
Citations per field
00.5×3.6×
Itamar Goren · 1×
Citations per year

Countries citing papers authored by Dan Lacroix

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lacroix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Lacroix, 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 Dan Lacroix Line = papers co-authored together Dan Lacroix 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 1997396
2 2013258
3 2003111
4 200080
5 200976
6 199774
7 201572
8 201457
9 201535
10 201424
11 199923
12 201519
13 199013
14 200213
15 20007
16 20166
17 19936
18 19985
19 20183
20 20182

About Dan Lacroix

Dan Lacroix is a scholar working on Surgery, Biomaterials, Molecular Biology, Biomedical Engineering and Genetics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Animal Genetics and Reproduction (3 papers), 3D Printing in Biomedical Research (3 papers), Bone Tissue Engineering Materials (3 papers), Metabolism and Genetic Disorders (2 papers), Wound Healing and Treatments (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Pharmacology (190 citations), Biomaterials (249 citations), Rehabilitation (82 citations), Endocrine and Autonomic Systems (66 citations) and Agronomy and Crop Science (86 citations). Dan Lacroix has collaborated with scholars based in Canada, France and United States. Frequent co-authors include François A. Auger, Laure Gibot, Thierry Cresteil, G. Chéron, A. Moncion, Lucie Germain, Marc‐André Sirard, Michael K. Dyck, F. Pothier and Éric Asselin. Their work appears in journals such as Journal of Biomechanics, Tissue Engineering Part C Methods, Gene, BioMed Research International and Carcinogenesis.

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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