Catherine De Greef

29 total papers · 1.2k total citations
21 papers, 1.0k citations indexed

About

Catherine De Greef is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Catherine De Greef has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Immunology and 6 papers in Hematology. Recurrent topics in Catherine De Greef's work include Immunotherapy and Immune Responses (9 papers), RNA Interference and Gene Delivery (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Catherine De Greef is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), RNA Interference and Gene Delivery (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Catherine De Greef collaborates with scholars based in Belgium and United States. Catherine De Greef's co-authors include Kris Thielemans, Carlo Heirman, R. Hamers, Karine Breckpot, Ivan Van Riet, Sonja Van Meirvenne, Mélissa Dullaers, Robert Finsy, Aude Bonehill and Pierre van der Bruggen and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and British Journal of Cancer.

In The Last Decade

Catherine De Greef

21 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Catherine De Greef 438 416 268 250 190 21 1.0k
Hossam A. Abdelsamed 743 1.7× 415 1.0× 614 2.3× 104 0.4× 58 0.3× 29 1.2k
Shari M. Kaiser 280 0.6× 551 1.3× 279 1.0× 208 0.8× 39 0.2× 26 1.1k
Izumi Ishikawa 549 1.3× 350 0.8× 195 0.7× 128 0.5× 38 0.2× 33 1.1k
Karen Duus 544 1.2× 281 0.7× 228 0.9× 348 1.4× 50 0.3× 35 1.2k
Tess M. Brodie 633 1.4× 246 0.6× 241 0.9× 187 0.7× 77 0.4× 30 1.2k
Martin Andreánsky 287 0.7× 266 0.6× 647 2.4× 46 0.2× 181 1.0× 21 1.0k
Laurie L. Kenney 481 1.1× 224 0.5× 264 1.0× 89 0.4× 35 0.2× 15 948
Sara L. Colpitts 490 1.1× 362 0.9× 125 0.5× 125 0.5× 69 0.4× 20 859
Michelle Dimon 194 0.4× 662 1.6× 246 0.9× 195 0.8× 147 0.8× 19 1.1k
Barbro Lundh Rozell 110 0.3× 309 0.7× 285 1.1× 148 0.6× 44 0.2× 29 861

Countries citing papers authored by Catherine De Greef

Since Specialization
Citations

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

Fields of papers citing papers by Catherine De Greef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine De Greef

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine De Greef. A scholar is included among the top collaborators of Catherine De Greef based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine De Greef. Catherine De Greef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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