Bart Degrève

619 citations
23 papers · 516 · h-index 14

Impact in

    • Virus-based gene therapy research
    • Chronic Lymphocytic Leukemia Research
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 14
    • Cytomegalovirus and herpesvirus research 7
    • Virus-based gene therapy research 13
    • Chronic Lymphocytic Leukemia Research 3

Bart Degrève

23 papers receiving 497 citations

Peers

Bart Degrève
Comparison fields: 5 of 65
  • Genetics 169
  • Epidemiology 189
  • Physiology 24
  • Infectious Diseases 90
  • Molecular Biology 308
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Citations per year

Countries citing papers authored by Bart Degrève

Since Specialization
Citations

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

Fields of papers citing papers by Bart Degrève

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199983
2 200154
3 199947
4 199842
5 199735
6 200033
7
The sulfonic acid polymers PAMPS [poly(2-acrylamido-2-methyl-1-propanesulfonic acid)] and related analogues are highly potent inhibitors of angiogenesis.
199732
8 199825
9 200323
10 199823
11 200022
12 200522
13 199915
14 200113
15 200011
16 200111
17 20009
18 20007
19 19993
20 19982

About Bart Degrève

Bart Degrève is a scholar working on Epidemiology, Genetics, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (14 papers), Virus-based gene therapy research (13 papers), Cytomegalovirus and herpesvirus research (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Biochemical and Molecular Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Gestational Trophoblastic Disease Studies (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Genetics (169 citations), Epidemiology (189 citations), Physiology (24 citations), Infectious Diseases (90 citations) and Molecular Biology (308 citations). Bart Degrève has collaborated with scholars based in Belgium, United Kingdom and Sweden. Frequent co-authors include Erik De Clercq, Jan Balzarini, Jan Balzarini, Anna Karlsson, Magnus Johansson, Robert Esnouf, An R. Van Rompay, Johan Neyts, Graciela Andreï and Lieve Naesens. Their work appears in journals such as Molecular Pharmacology, Gene Therapy, Journal of Biological Chemistry, Advances in experimental medicine and biology and FEBS Letters.

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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