Nathan De Beule

959 citations
22 papers · 747 indexed · h-index 11

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Acute Myeloid Leukemia Research 4
    • Immune cells in cancer 9
    • Phagocytosis and Immune Regulation 3

Nathan De Beule

20 papers receiving 739 citations

Peers

Nathan De Beule
Comparison fields: 5 of 59
  • Genetics 302
  • Neurology 216
  • Hematology 153
  • Immunology 220
  • Pathology and Forensic Medicine 165
Replace Andrea Visentin with:
Andrea Visentin Italy
Michael Badruddoja United States
Emilio Cosimo United Kingdom
Brandy Edenfield United States
G. Dresemann Germany
Frank J.G. Scherpen Netherlands
Koji Oka Japan
Yutaka Shimazu Japan
Ameer L. Elaimy United States
B. Reufi Germany
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Citations per field
00.5×1.5×2.1×
Andrea Visentin · 1×
Citations per year

Countries citing papers authored by Nathan De Beule

Since Specialization
Citations

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

Fields of papers citing papers by Nathan De Beule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan De Beule. 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 Nathan De Beule. The network helps show where Nathan De Beule may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20244
4 20241
5 20246
6 202312
7 20234
8 202215
9 202213
10 201924
11 201848
12 20181
13 201744
14 20175
15 20160
16 201561
17 2015136
18 20143
19 2003123
20 2003191

About Nathan De Beule

Nathan De Beule is a scholar working on Hematology, Immunology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 22 papers that have together received 747 indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Multiple Myeloma Research and Treatments (6 papers), Chemokine receptors and signaling (5 papers), Acute Myeloid Leukemia Research (4 papers), Phagocytosis and Immune Regulation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), S100 Proteins and Annexins (3 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Genetics (302 citations), Neurology (216 citations), Hematology (153 citations), Immunology (220 citations) and Pathology and Forensic Medicine (165 citations). Nathan De Beule has collaborated with scholars based in Belgium, France and Sweden. Frequent co-authors include Eline Menu, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Ken Maes, Els Van Valckenborgh, Olivier Chinot, B. Barón, Pierre Soubeyran and M. Frénay. Their work appears in journals such as Oncotarget, Blood, The Journal of Pathology, Frontiers in Immunology and Theranostics.

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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