Pascal Merchiers

1.4k citations
18 papers · 638 · h-index 9

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 3
    • Glycosylation and Glycoproteins Research 3
    • Biochemical and Structural Characterization 2
    • Cancer Immunotherapy and Biomarkers 3

Pascal Merchiers

18 papers receiving 623 citations

Peers

Pascal Merchiers
Comparison fields: 5 of 77
  • Physiology 259
  • Cellular and Molecular Neuroscience 146
  • Neurology 57
  • Molecular Biology 364
  • Pharmacology 84
Replace Dominika Piłat with:
Dominika Piłat Poland
Sebastian Hogl Germany
Vittorina Della-Bianca Italy
Masamichi Nakai Japan
Izhar Livne‐Bar Canada
Sarah E. Hoey United Kingdom
Sébastien Didier United States
Celia Fernandez United States
Sina Bahmanyar United States
Mirsada Čaušević United Kingdom
Pascal Merchiers relative to Dominika Piłat Poland Dominika Piłat's profile →
Citations per field
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Dominika Piłat · 1×
Citations per year

Countries citing papers authored by Pascal Merchiers

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Merchiers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2004148
2 2009134
3 2013124
4 200392
5 199735
6 201125
7 201025
8 199920
9 201018
10 19997
11 19972
12 20182
13 20211
14 20181
15 19991
16 20191
17 20061
18 20061

About Pascal Merchiers

Pascal Merchiers is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Physiology, having authored 18 papers that have together received 638 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Alzheimer's disease research and treatments (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Protease and Inhibitor Mechanisms (3 papers), Retinoids in leukemia and cellular processes (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Physiology (259 citations), Cellular and Molecular Neuroscience (146 citations), Neurology (57 citations), Molecular Biology (364 citations) and Pharmacology (84 citations). Pascal Merchiers has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Bart De Strooper, Kurt Spittaels, Diana Dominguez, Ira Espuny-Camacho, Lutgarde Serneels, Katrien Horré, Peter Vanlandschoot, Alexandra Belayew, André Delacourte and Marcel Hoffmann. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Alzheimer s & Dementia, FEBS Letters and International Journal of Alzheimer s Disease.

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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