Willem Weimar

4.6k total citations
108 papers, 3.6k citations indexed

About

Willem Weimar is a scholar working on Immunology, Transplantation and Surgery. According to data from OpenAlex, Willem Weimar has authored 108 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Immunology, 48 papers in Transplantation and 42 papers in Surgery. Recurrent topics in Willem Weimar's work include Renal Transplantation Outcomes and Treatments (47 papers), Immune Cell Function and Interaction (38 papers) and T-cell and B-cell Immunology (36 papers). Willem Weimar is often cited by papers focused on Renal Transplantation Outcomes and Treatments (47 papers), Immune Cell Function and Interaction (38 papers) and T-cell and B-cell Immunology (36 papers). Willem Weimar collaborates with scholars based in Netherlands, United States and Germany. Willem Weimar's co-authors include Carla C. Baan, Martin J. Hoogduijn, Sander S. Korevaar, Aggie H.M.M. Balk, Jan N.M. IJzermans, A.M.A. Peeters, Dennis A. Hesselink, Michiel G.H. Betjes, Meindert J. Crop and Teun van Gelder and has published in prestigious journals such as PLoS ONE, Cancer and Kidney International.

In The Last Decade

Willem Weimar

107 papers receiving 3.6k citations

Peers

Willem Weimar
W. Weimar Netherlands
Sonata Jodele United States
Federica Casiraghi Italy
Alexander F. Schaapherder Netherlands
Joseph R. Leventhal United States
Charles F. Shield United States
K. Salmela Finland
Maria T. Millan United States
Alvaro A. Pineda United States
Karine Renaudin France
W. Weimar Netherlands
Willem Weimar
Citations per year, relative to Willem Weimar Willem Weimar (= 1×) peers W. Weimar

Countries citing papers authored by Willem Weimar

Since Specialization
Citations

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

Fields of papers citing papers by Willem Weimar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willem Weimar

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

All Works

20 of 20 papers shown
1.
Graav, Gretchen N. de, Dennis A. Hesselink, M. Dieterich, et al.. (2017). Belatacept Does Not Inhibit Follicular T Cell-Dependent B-Cell Differentiation in Kidney Transplantation. Frontiers in Immunology. 8. 641–641. 24 indexed citations
2.
Bouvy, Anne P., Mariska Klepper, Marcia M. L. Kho, et al.. (2015). T cells Exhibit Reduced Signal Transducer and Activator of Transcription 5 Phosphorylation and Upregulated Coinhibitory Molecule Expression After Kidney Transplantation. Transplantation. 99(9). 1995–2003. 8 indexed citations
3.
Hoogduijn, Martin J., Monique M.A. Verstegen, Anja U. Engela, et al.. (2014). No Evidence for Circulating Mesenchymal Stem Cells in Patients with Organ Injury. Stem Cells and Development. 23(19). 2328–2335. 54 indexed citations
4.
Graav, Gretchen N. de, Stein Bergan, Carla C. Baan, et al.. (2014). Therapeutic Drug Monitoring of Belatacept in Kidney Transplantation. Therapeutic Drug Monitoring. 37(5). 560–567. 22 indexed citations
5.
Bouvy, Anne P., Marcia M. L. Kho, Mariska Klepper, et al.. (2013). Kinetics of Homeostatic Proliferation and Thymopoiesis after rATG Induction Therapy in Kidney Transplant Patients. Transplantation. 96(10). 904–913. 33 indexed citations
6.
Rhijn, M. Roemeling-van, Marlies E. J. Reinders, Annelies de Klein, et al.. (2012). Mesenchymal stem cells derived from adipose tissue are not affected by renal disease. Kidney International. 82(7). 748–758. 45 indexed citations
7.
Quaedackers, Monique E., Marcia M. L. Kho, Wendy M. Mol, et al.. (2012). Pharmacodynamic Analysis of Tofacitinib and Basiliximab in Kidney Allograft Recipients. Transplantation. 94(5). 465–472. 15 indexed citations
8.
Pas, Suzan D., Rob A. de Man, Aggie H.M.M. Balk, et al.. (2012). Hepatitis E Virus Infection among Solid Organ Transplant Recipients, the Netherlands. Emerging infectious diseases. 18(5). 869–872. 130 indexed citations
9.
Shuker, Nauras, Rachida Bouamar, Willem Weimar, et al.. (2011). ATP-binding cassette transporters as pharmacogenetic biomarkers for kidney transplantation. Clinica Chimica Acta. 413(17-18). 1326–1337. 25 indexed citations
10.
Besouw, Nicole M. van, Ronella de Kuiper, Barbara J. van der Mast, et al.. (2009). Deficient TNF-α and IFN-γ Production Correlates With Nondetectable Donor-Specific Cytotoxicity After Clinical Kidney Transplantation. Transplantation. 87(10). 1451–1454. 6 indexed citations
11.
Crop, Meindert J., Carla C. Baan, Sander S. Korevaar, et al.. (2009). Donor-Derived Mesenchymal Stem Cells Suppress Alloreactivity of Kidney Transplant Patients. Transplantation. 87(6). 896–906. 93 indexed citations
12.
Baan, Carla C., E. Dijke, & Willem Weimar. (2009). Regulatory T cells in alloreactivity after clinical heart transplantation. Current Opinion in Organ Transplantation. 14(5). 577–582. 12 indexed citations
13.
14.
Sewgobind, Varsha D. K. D., Luc J. W. van der Laan, Mariska Klepper, et al.. (2008). Functional analysis of CD4+ CD25bright T cells in kidney transplant patients: improving suppression of donor‐directed responses after transplantation. Clinical Transplantation. 22(5). 579–586. 14 indexed citations
15.
Dijke, E., Kadir Çalişkan, Sander S. Korevaar, et al.. (2007). FOXP3 mRNA expression analysis in the peripheral blood and allograft of heart transplant patients. Transplant Immunology. 18(3). 250–254. 29 indexed citations
16.
Hesselink, Dennis A., Reinier M. van Hest, Ron A. A. Mathôt, et al.. (2005). Cyclosporine Interacts with Mycophenolic Acid by Inhibiting the Multidrug Resistance-Associated Protein 2. American Journal of Transplantation. 5(5). 987–994. 1 indexed citations
17.
Holweg, Cécile, A.M.A. Peeters, Aggie H.M.M. Balk, et al.. (2002). Effect of HLA-DR matching on acute rejection after clinical heart transplantation might be influenced by an IL-2 gene polymorphism. Transplantation. 73(8). 1353–1356. 11 indexed citations
18.
Miert, Paula P.M.C. van, et al.. (2000). Modulation of the T cell receptor beta chain repertoire after heart transplantation. Transplant Immunology. 8(2). 83–94. 4 indexed citations
19.
Witvliet, M., et al.. (1998). Immunogenic human leukocyte antigen class II antigens on human cardiac valves induce specific alloantibodies. The Annals of Thoracic Surgery. 66(6). 2022–2026. 36 indexed citations
20.
Bommel, Eric F.H. van, Nicole D. Bouvy, K. L. So, et al.. (1995). Acute Dialytic Support for the Critically III: Intermittent Hemodialysis versus Continuous Arteriovenous Hemodiafiltration. American Journal of Nephrology. 15(3). 192–200. 92 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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