GL Schieven

557 citations
8 papers · 489 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Cell Adhesion Molecules Research

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Glycosylation and Glycoproteins Research 2

GL Schieven

8 papers receiving 480 citations

Peers

GL Schieven
Comparison fields: 5 of 70
  • Immunology 315
  • Immunology and Allergy 38
  • Cancer Research 84
  • Toxicology 15
  • Virology 18
Replace P Suffys with:
P Suffys Belgium
Kotohiko Kimura Japan
Zhongjia Tan United States
Kaoru Morishita Japan
Sarah J. Turner United Kingdom
Taisuke Kajino Japan
J C Kallestad United States
K Higashino Japan
Masaru Kamishohara Japan
Kay Draves United States
GL Schieven relative to P Suffys Belgium P Suffys's profile →
Citations per field
00.5×
P Suffys · 1×
Citations per year

Countries citing papers authored by GL Schieven

Since Specialization
Citations

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

Fields of papers citing papers by GL Schieven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside GL Schieven, 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 GL Schieven Line = papers co-authored together GL Schieven links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1993224
2 1990155
3 199160
4 199019
5 199117
6 19938
7 19913
8 19913

About GL Schieven

GL Schieven is a scholar working on Immunology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Immunology and Allergy, having authored 8 papers that have together received 489 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Acute Lymphoblastic Leukemia research (4 papers), T-cell and B-cell Immunology (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (315 citations), Immunology and Allergy (38 citations), Cancer Research (84 citations), Toxicology (15 citations) and Virology (18 citations). GL Schieven has collaborated with scholars based in United States and Germany. Frequent co-authors include JA Ledbetter, Fatih M. Uckun, Damian E. Myers, Tullia Lindsten, C. Mildred Thompson, İlker Dıbırdık, K Gajl-Peczalska and L Tuel-Ahlgren. Their work appears in journals such as Blood.

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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