Philip Maes

630 citations
22 papers · 110 · h-index 8

Impact in

    • Hemophilia Treatment and Research
    • Iron Metabolism and Disorders
    • Blood groups and transfusion
    • HIV Research and Treatment

Papers in

    • Hemophilia Treatment and Research 6
    • Blood groups and transfusion 4
    • Iron Metabolism and Disorders 2
    • Hemoglobinopathies and Related Disorders 5

Philip Maes

20 papers receiving 109 citations

Peers

Philip Maes
Comparison fields: 5 of 37
  • Hematology 35
  • Virology 12
  • Genetics 26
  • Endocrinology 7
  • Infectious Diseases 22
Replace Sabrinel Sahali with:
Sabrinel Sahali France
Massimo Coen Italy
Patrícia Barrios Uruguay
Delphine Lemercier France
Maha F. Al‐Subaie Saudi Arabia
Geneviève Le Templier Canada
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Citations per field
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Citations per year

Countries citing papers authored by Philip Maes

Since Specialization
Citations

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

Fields of papers citing papers by Philip Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200718
2 201712
3 202110
4 20199
5 20159
6 20227
7 20027
8 20157
9 20204
10 20234
11 20234
12 20233
13 20143
14 20213
15 20232
16 20212
17 20202
18 20222
19 20211
20 20111

About Philip Maes

Philip Maes is a scholar working on Hematology, Genetics, Infectious Diseases, Pediatrics, Perinatology and Child Health and Virology, having authored 22 papers that have together received 110 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (6 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood groups and transfusion (4 papers), HIV/AIDS drug development and treatment (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Bone and Joint Diseases (2 papers), Opioid Use Disorder Treatment (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Hematology (35 citations), Virology (12 citations), Genetics (26 citations), Endocrinology (7 citations) and Infectious Diseases (22 citations). Philip Maes has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Marek Wojciechowski, Marc Hainaut, Tine Boiy, Dimitri Van der Linden, Jack Lévy, Dominique Trouet, Gunter De Win, Edwige Haelterman, Olivier Aerts and Mira Meeus. Their work appears in journals such as Haemophilia, European Journal Of Haematology, The Pediatric Infectious Disease Journal, Journal of Clinical Oncology and Journal of the European Academy of Dermatology and Venereology.

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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