Philippe Maillet

1.1k citations
46 papers · 793 indexed · h-index 19

Impact in

  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology
  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Hemoglobinopathies and Related Disorders

Papers in

    • DNA Repair Mechanisms 9
    • Glycosylation and Glycoproteins Research 4
    • Erythrocyte Function and Pathophysiology 17

Philippe Maillet

44 papers receiving 777 citations

Peers

Philippe Maillet
Comparison fields: 5 of 75
  • Physiology 238
  • Genetics 80
  • Cell Biology 121
  • Cancer Research 107
  • Pathology and Forensic Medicine 123
Replace Pierre Olivier Schischmanoff with:
Pierre Olivier Schischmanoff France
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Brenden Chen United States
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Patrycja Pawlikowska France
Craig Cadwell United States
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Shahin Rafii United States
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Maillet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Maillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200549
2 200043
3 199242
4 201041
5 199736
6 198836
7 201035
8
Molecular genetics of hereditary elliptocytosis and hereditary spherocytosis.
199634
9 199530
10 201230
11 200327
12 199727
13 199627
14 198825
15 199625
16 200023
17 199722
18 199920
19 201218
20
Expression of the serglycin gene in human leukemic cell lines.
199218

About Philippe Maillet

Philippe Maillet is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 46 papers that have together received 793 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (17 papers), Blood properties and coagulation (12 papers), DNA Repair Mechanisms (9 papers), BRCA gene mutations in cancer (6 papers), Pancreatic function and diabetes (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Physiology (238 citations), Genetics (80 citations), Cell Biology (121 citations), Cancer Research (107 citations) and Pathology and Forensic Medicine (123 citations). Philippe Maillet has collaborated with scholars based in France, Switzerland and Algeria. Frequent co-authors include J. Delaunay, Nicole Alloisio, P. Jollès, Faouzi Baklouti, K. Boualga, Rabah Bakour, Fabrice Bonnet, Pierre O. Chappuis, J.-P. Périn and Patrick M. Alliel. Their work appears in journals such as Blood, Human Mutation, British Journal of Haematology, Leukemia Research and Biochemical Journal.

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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