Marjorie Leduc

25 papers receiving 646 citations

Peers

Marjorie Leduc
Comparison fields: 5 of 76
  • Virology 88
  • Genetics 70
  • Physiology 164
  • Hematology 69
  • Obstetrics and Gynecology 42
Replace Neelima M. Bhat with:
Neelima M. Bhat United States
Marina Jerebtsova United States
Johannes Pröll Austria
Chaya Moroz Israel
Mihaela S. Kojouharova Bulgaria
Caroline Desmetz France
Keishin Sugawara Japan
Johannes Möst Austria
Arnaud Chêne France
Srabasti J. Chakravorty United Kingdom
Marjorie Leduc relative to Neelima M. Bhat United States Neelima M. Bhat's profile →
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Citations per year

Countries citing papers authored by Marjorie Leduc

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie Leduc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016172
2 201876
3 201671
4 201957
5 201057
6 201336
7 201735
8 202029
9 202021
10 202113
11 201812
12 20219
13 20198
14 20238
15 20177
16 20246
17 20236
18 20176
19 20216
20 20226

About Marjorie Leduc

Marjorie Leduc is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 648 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), 3D Printing in Biomedical Research (4 papers), Liver physiology and pathology (3 papers), Blood properties and coagulation (3 papers), Birth, Development, and Health (2 papers), Pluripotent Stem Cells Research (2 papers), Blood groups and transfusion (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Virology (88 citations), Genetics (70 citations), Physiology (164 citations), Hematology (69 citations) and Obstetrics and Gynecology (42 citations). Marjorie Leduc has collaborated with scholars based in France, United States and Japan. Frequent co-authors include François Guillonneau, Patrick Mayeux, Emilie‐Fleur Gautier, Narla Mohandas, Catherine Lacombe, Frédèrique Verdier, Virginie Salnot, Marie‐Catherine Giarratana, Yaël Zermati and John Hale. Their work appears in journals such as American Journal of Hematology, Blood Advances, Nature Communications, Molecular Biology and Evolution and Journal of Neuroinflammation.

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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