W Weimar

533 total citations
24 papers, 360 citations indexed

About

W Weimar is a scholar working on Surgery, Transplantation and Epidemiology. According to data from OpenAlex, W Weimar has authored 24 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Transplantation and 8 papers in Epidemiology. Recurrent topics in W Weimar's work include Renal Transplantation Outcomes and Treatments (10 papers), Transplantation: Methods and Outcomes (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). W Weimar is often cited by papers focused on Renal Transplantation Outcomes and Treatments (10 papers), Transplantation: Methods and Outcomes (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). W Weimar collaborates with scholars based in Netherlands and United States. W Weimar's co-authors include Carla C. Baan, Michiel G.H. Betjes, Martin J. Hoogduijn, Nicolle H. R. Litjens, Karin Boer, Anja U. Engela, Johannes Jeekel, Herold J. Metselaar, Niels F. M. Kok and G J Wenting and has published in prestigious journals such as Transplantation, Journal of Antimicrobial Chemotherapy and American Journal of Transplantation.

In The Last Decade

W Weimar

22 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W Weimar Netherlands	11	136	117	84	68	60	24	360
Jana Malušková Czechia	14	59 0.4×	235 2.0×	176 2.1×	34 0.5×	18 0.3×	40	532
Eleonora Francesca Pattonieri Italy	8	49 0.4×	115 1.0×	59 0.7×	24 0.4×	43 0.7×	26	320
Giovanbattista Ippoliti Italy	11	49 0.4×	91 0.8×	60 0.7×	31 0.5×	18 0.3×	22	292
N. Yonan United Kingdom	12	96 0.7×	227 1.9×	78 0.9×	50 0.7×	11 0.2×	31	408
Despina Mallouri Greece	12	41 0.3×	20 0.2×	85 1.0×	164 2.4×	73 1.2×	34	375
T Mohanakumar United States	14	43 0.3×	204 1.7×	150 1.8×	134 2.0×	8 0.1×	29	396
Philippe Lemaître United States	11	44 0.3×	146 1.2×	59 0.7×	242 3.6×	10 0.2×	34	469
Cristiano Gallucci Italy	12	32 0.2×	39 0.3×	23 0.3×	37 0.5×	207 3.5×	25	446
David Bruno United States	10	172 1.3×	119 1.0×	21 0.3×	43 0.6×	19 0.3×	32	295
G.Alexander Patterson United States	9	46 0.3×	335 2.9×	91 1.1×	28 0.4×	12 0.2×	13	389

Countries citing papers authored by W Weimar

Since Specialization

Citations

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

Fields of papers citing papers by W Weimar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Weimar

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

All Works

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20 of 20 papers shown

Klop, Karel W.J., Reinier Timman, Jan J.V. Busschbach, et al.. (2018). Multivariate Analysis of Health-related Quality of Life in Donors After Live Kidney Donation. Transplantation Proceedings. 50(1). 42–47. 7 indexed citations

Graav, Gretchen N. de, Carla C. Baan, Marian C. Clahsen‐van Groningen, et al.. (2017). A Randomized Controlled Clinical Trial Comparing Belatacept With Tacrolimus After De Novo Kidney Transplantation. Transplantation. 101(10). 2571–2581. 51 indexed citations

Zietse, Robert, F. H. M. Derkx, Maarten A.D.H. Schalekamp, & W Weimar. (2015). Cyclosporin and the Glomerular Filtration Barrier in Minimal Change Disease and Membranous Glomerulopathy. Contributions to nephrology. 114. 6–18.

Engela, Anja U., Martin J. Hoogduijn, Karin Boer, et al.. (2013). Human adipose-tissue derived mesenchymal stem cells induce functional de-novo regulatory T cells with methylated FOXP3 gene DNA. Clinical & Experimental Immunology. 173(2). 343–354. 72 indexed citations

Dols, Leonienke F. C., J. IJzermans, T.C.K. Tran, et al.. (2010). Long-Term Follow-up of a Randomized Trial Comparing Laparoscopic and Mini-Incision Open Live Donor Nephrectomy. American Journal of Transplantation. 10(11). 2481–2487. 39 indexed citations

Aalten, Jeroen, F. J. Bemelman, E.M. Van Den Berg‐Loonen, et al.. (2009). Pre-kidney-transplant blood transfusions do not improve transplantation outcome: a Dutch national study. Nephrology Dialysis Transplantation. 24(8). 2559–2566. 21 indexed citations

Stegmann, Alexander P.A., et al.. (2002). The presence of immune stimulatory cells in fresh and cryopreserved donor aortic and pulmonary valve allografts.. PubMed. 11(3). 315–24; discussion 325. 23 indexed citations

Stegmann, Alexander P.A., et al.. (2000). Induction of cytotoxic T lymphocytes with destructive potential after cardiac valve homograft implantation.. PubMed. 9(6). 761–8. 10 indexed citations

Weimar, W, et al.. (1995). Peripheral blood monitoring during and after rejection-prophylaxis with a monoclonal anti-interleukin-2-receptor antibody in kidney and heart transplant recipients.. PubMed. 27(1). 856–8. 2 indexed citations

10.

Baan, Carla C., et al.. (1995). Immunological monitoring in peripheral blood after heart transplantation: frequencies of T-helper cells and precursors of cytotoxic T cells with high avidity for donor antigens correlate with rejection.. PubMed. 27(1). 485–7. 4 indexed citations

11.

Baan, Carla C., L. M. B. Vaessen, Aggie H.M.M. Balk, et al.. (1994). Cyclosporin A sensitivity of allo-specific precursor and committed cytotoxic T lymphocytes after clinical heart transplantation.. PubMed. 26(5). 2849–51. 2 indexed citations

12.

Jutte, N. H. P. M., et al.. (1993). Lysis of endothelial cells by graft-infiltrating lymphocytes after clinical heart transplantation.. PubMed. 25(1 Pt 1). 100–1. 1 indexed citations

13.

Metselaar, Herold J. & W Weimar. (1992). Prevention of cytomegalovirus infection after organ transplantation with passive immunization. An analysis of 6 randomized clinical trials.. PubMed. 30. 198–202. 1 indexed citations

14.

Weimar, W, et al.. (1991). On the relation between cytomegalovirus infection and rejection after heart transplantation.. PubMed. 52(1). 162–4. 15 indexed citations

15.

Metselaar, Herold J., P H Rothbarth, R. Brouwer, et al.. (1989). PREVENTION OF CYTOMEGALOVIRUS-RELATED DEATH BY PASSIVE IMMUNIZATION. Transplantation. 48(2). 264–265. 38 indexed citations

16.

Weimar, W, et al.. (1989). Cytomegalovirus infection and renal transplantation. Journal of Antimicrobial Chemotherapy. 23(suppl E). 37–47. 32 indexed citations

17.

Jeekel, J, et al.. (1987). T cell subset analysis predicts virus infection but not rejection in cyclosporine A-treated renal allograft recipients.. PubMed. 19(1 Pt 3). 2181–2. 2 indexed citations

18.

Weimar, W, et al.. (1985). The incidence of cytomegalo- and herpes simplex virus infections in renal allograft recipients treated with high dose recombinant leucocyte interferon: a controlled study.. PubMed. 92. 37–9. 14 indexed citations

19.

Weimar, W, K. E. Mogensen, & K Cantell. (1982). Highly purified leucocyte interferons for renal transplant recipients.. PubMed. 36(2). 94–7. 2 indexed citations

20.

Weimar, W, et al.. (1979). Prophylactic use of interferon in renal allograft recipients.. PubMed. 11(1). 69–70. 4 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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