Willem Kraan

822 total citations
8 papers, 276 citations indexed

About

Willem Kraan is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Willem Kraan has authored 8 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Willem Kraan's work include Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). Willem Kraan is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). Willem Kraan collaborates with scholars based in Netherlands, France and Gabon. Willem Kraan's co-authors include Steven T. Pals, Marie José Kersten, Marcel Spaargaren, Cornelis G. Scheepstra, Esther J.M. Schilder-Tol, Monique E.C.M. Oud, P.M. Kluin, Hugo M. Horlings, PIETER F. VAN AKKERVEEKEN and Arthur A. Bergen and has published in prestigious journals such as Blood, Spine and Journal of Hematology & Oncology.

In The Last Decade

Willem Kraan

8 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Willem Kraan Netherlands 6 201 117 93 88 39 8 276
Olga Kolman United States 4 252 1.3× 153 1.3× 160 1.7× 63 0.7× 24 0.6× 7 309
Qixing Gong China 11 171 0.9× 69 0.6× 163 1.8× 54 0.6× 31 0.8× 30 316
Zifen Gao China 11 194 1.0× 53 0.5× 158 1.7× 45 0.5× 28 0.7× 22 280
ME Hill United Kingdom 3 223 1.1× 107 0.9× 167 1.8× 40 0.5× 48 1.2× 4 323
Jackline de Paula Ayres-Silva Brazil 7 173 0.9× 145 1.2× 48 0.5× 124 1.4× 13 0.3× 13 291
Ginette Schiby Israel 7 125 0.6× 55 0.5× 90 1.0× 34 0.4× 26 0.7× 12 282
Kristina Hinz Germany 7 216 1.1× 91 0.8× 107 1.2× 24 0.3× 37 0.9× 16 304
Hanne Kuitunen Finland 12 270 1.3× 157 1.3× 168 1.8× 92 1.0× 10 0.3× 45 380
Max Beijert Netherlands 7 194 1.0× 137 1.2× 72 0.8× 181 2.1× 13 0.3× 17 283
C. J. M. van Noesel Netherlands 5 177 0.9× 95 0.8× 83 0.9× 21 0.2× 37 0.9× 10 270

Countries citing papers authored by Willem Kraan

Since Specialization
Citations

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

Fields of papers citing papers by Willem Kraan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willem Kraan

This figure shows the co-authorship network connecting the top 25 collaborators of Willem Kraan. A scholar is included among the top collaborators of Willem Kraan 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 Willem Kraan. Willem Kraan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kuil, Annemieke, Willem Kraan, Fernando Arenzana‐Seisdedos, et al.. (2021). The CXCL12gamma chemokine immobilized by heparan sulfate on stromal niche cells controls adhesion and mediates drug resistance in multiple myeloma. Journal of Hematology & Oncology. 14(1). 11–11. 19 indexed citations
2.
Kuil, Annemieke, Willem Kraan, Fernando Arenzana‐Seisdedos, et al.. (2021). Correction to: The CXCL12gamma chemokine immobilized by heparan sulfate on stromal niche cells controls adhesion and mediates drug resistance in multiple myeloma. Journal of Hematology & Oncology. 14(1). 1 indexed citations
3.
Vos, Josephine M. I., Steven T. Pals, Willem Kraan, et al.. (2021). Discriminating between Waldenström macroglobulinemia and marginal zone lymphoma using logistic LASSO regression. Leukemia & lymphoma. 63(5). 1070–1079. 8 indexed citations
4.
Vermaat, Joost S.P., Liesbeth C. de Wreede, Willem Kraan, et al.. (2019). MYD88 mutations identify a molecular subgroup of diffuse large B-cell lymphoma with an unfavorable prognosis. Haematologica. 105(2). 424–434. 57 indexed citations
5.
Jansen, Patty M., Hendrik Veelken, Maarten H. Vermeer, et al.. (2017). High Prevalence of Oncogenic MYD88 and CD79B Mutations in Intravascular Large B-Cell Lymphoma: Implication for Therapy with Bruton's Kinase Inhibitors?. Blood. 130. 4000–4000. 1 indexed citations
6.
Kraan, Willem, Hugo M. Horlings, Esther J.M. Schilder-Tol, et al.. (2013). High prevalence of oncogenic MYD88 and CD79B mutations in diffuse large B-cell lymphomas presenting at immune-privileged sites. Blood Cancer Journal. 3(9). e139–e139. 139 indexed citations
7.
Kamphuis, Willem, Frederike Dijk, Willem Kraan, & Arthur A. Bergen. (2007). Transfer of lens-specific transcripts to retinal RNA samples may underlie observed changes in crystallin-gene transcript levels after ischemia.. PubMed. 13. 220–8. 11 indexed citations
8.
AKKERVEEKEN, PIETER F. VAN, et al.. (1986). The Fate of the Free Fat Graft. Spine. 11(5). 501–504. 40 indexed citations

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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