Michel de Weers

32 total papers · 2.4k total citations
28 papers, 1.7k citations indexed

About

Michel de Weers is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Michel de Weers has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 13 papers in Immunology and 10 papers in Genetics. Recurrent topics in Michel de Weers's work include Multiple Myeloma Research and Treatments (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Chronic Lymphocytic Leukemia Research (10 papers). Michel de Weers is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Chronic Lymphocytic Leukemia Research (10 papers). Michel de Weers collaborates with scholars based in Netherlands, United States and Germany. Michel de Weers's co-authors include Paul W.H.I. Parren, Ruud K. B. Schuurman, Tuna Mutis, Joost M. Bakker, Michael S. van der Veer, Rudi W. Hendriks, Rob G.J. Mensink, Margriet E. M. Kraakman, Jan G. J. van de Winkel and Kenneth C. Anderson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Michel de Weers

25 papers receiving 1.7k citations

Hit Papers

Daratumumab, a Novel Ther... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Michel de Weers 1.0k 719 657 619 509 28 1.7k
Jeroen J. Lammerts van Bueren 894 0.9× 684 1.0× 1.2k 1.8× 854 1.4× 361 0.7× 24 2.2k
Parul Doshi 742 0.7× 452 0.6× 782 1.2× 568 0.9× 296 0.6× 48 1.6k
Inger S. Nijhof 1.3k 1.2× 550 0.8× 1.0k 1.6× 732 1.2× 287 0.6× 37 1.9k
L Bergui 832 0.8× 771 1.1× 572 0.9× 741 1.2× 894 1.8× 53 2.3k
HM Lokhorst 1.3k 1.3× 523 0.7× 810 1.2× 561 0.9× 175 0.3× 27 1.7k
Andries C. Bloem 792 0.8× 710 1.0× 629 1.0× 706 1.1× 226 0.4× 57 1.9k
Berris van Kessel 959 0.9× 434 0.6× 794 1.2× 573 0.9× 213 0.4× 33 1.5k
Amy Axel 933 0.9× 528 0.7× 1.4k 2.1× 887 1.4× 309 0.6× 29 2.3k
Sandra Verploegen 366 0.4× 509 0.7× 701 1.1× 645 1.0× 160 0.3× 27 1.6k
Paul D. Sherrington 626 0.6× 542 0.8× 575 0.9× 1.1k 1.7× 714 1.4× 40 2.1k

Countries citing papers authored by Michel de Weers

Since Specialization
Citations

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

Fields of papers citing papers by Michel de Weers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel de Weers. 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 Michel de Weers. The network helps show where Michel de Weers may publish in the future.

Co-authorship network of co-authors of Michel de Weers

This figure shows the co-authorship network connecting the top 25 collaborators of Michel de Weers. A scholar is included among the top collaborators of Michel de Weers 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 Michel de Weers. Michel de Weers 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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