Maryse St‐Louis

980 citations
29 papers · 749 indexed · h-index 14
  • Hematology top 5%
    • Blood groups and transfusion 15
    • Metabolism and Genetic Disorders 5
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders 5
    • Diabetes and associated disorders 3
    • Virus-based gene therapy research 2
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders 5
    • Diabetes and associated disorders 3
    • Virus-based gene therapy research 2
    • Erythrocyte Function and Pathophysiology 13
    • Amino Acid Enzymes and Metabolism 3
    • CAR-T cell therapy research 2

Maryse St‐Louis

28 papers receiving 725 citations

Peers

Maryse St‐Louis
Comparison fields: 5 of 82
  • Hematology 199
  • Clinical Biochemistry 59
  • Genetics 229
  • Genetics 83
  • Physiology 178
Replace John J. Carrino with:
John J. Carrino United States
Lee Shaw Germany
Ana B. Herrero Spain
Jessica R. Chapman United States
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Maryse St‐Louis relative to John J. Carrino United States John J. Carrino's profile →
Citations per field
00.5×9.7×
John J. Carrino · 1×
Citations per year

Countries citing papers authored by Maryse St‐Louis

Since Specialization
Citations

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

Fields of papers citing papers by Maryse St‐Louis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryse St‐Louis. 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 Maryse St‐Louis. The network helps show where Maryse St‐Louis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20224
3 201813
4 201419
5 20143
6 20135
7 200950
8 20092
9 200739
10 200737
11 20069
12 200650
13 200315
14 200157
15 200051
16 20002
17 199899
18 199766
19 199625
20 19963

About Maryse St‐Louis

Maryse St‐Louis is a scholar working on Hematology, Clinical Biochemistry and Physiology, having authored 29 papers that have together received 749 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Erythrocyte Function and Pathophysiology (13 papers), Metabolism and Genetic Disorders (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Diabetes and associated disorders (3 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (199 citations), Clinical Biochemistry (59 citations) and Genetics (229 citations). Maryse St‐Louis has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Robert M. Tanguay, Josée Perreault, B. Brett Finlay, Sandeep K. Malhotra, Yuman Fong, Joseph Bennett, Richard J. Wong, Lawrence D. Mayer, Rajesh Krishna and Réal Lemieux. Their work appears in journals such as Annals of Surgery, Antimicrobial Agents and Chemotherapy and Infection and Immunity.

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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