W. Weimar
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 48
- Genetics top 2%
- Immunology top 2%
- Immune Cell Function and Interaction 45
- T-cell and B-cell Immunology 31
- Surgery top 5%
- Transplantation: Methods and Outcomes 71
- Organ Transplantation Techniques and Outcomes 11
- Hematology top 5%
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- Viral Infections and Immunology Research 28
-
- Cytomegalovirus and herpesvirus research 11
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- RNA Interference and Gene Delivery 10
- Co-authors
- Carla C. BaanAggie H.M.M. BalkMartin J. HoogduijnJan N.M. IJzermansB. MochtarN. H. P. M. JutteHubert G.M. NiestersSander S. Korevaar
- Cited by
- TransplantationGeneticsImmunology
- Journals
- Transplant International (20 papers)Clinical & Experimental Immunology (14 papers)Transplant Immunology (7 papers)
- Partner nations
- NetherlandsUnited StatesGreece
In The Last Decade
W. Weimar
132 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 92
- Transplantation 852
- Genetics 543
- Immunology 927
- Surgery 924
- Hematology 191
Countries citing papers authored by W. Weimar
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
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
The 25 scholars most cited alongside W. Weimar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 17 | |
| 2 | 2007 | 151 | |
| 3 | 2007 | 5 | |
| 4 | 2001 | 44 | |
| 5 | 2001 | 16 | |
| 6 | 2001 | 5 | |
| 7 | 2000 | 2 | |
| 8 | Failure to downregulate intragraft cytokine mRNA expression after clinical heart transplantation leads to a high incidence of rejection | 2000 | 2 |
| 9 | 1999 | 6 | |
| 10 | 1999 | 8 | |
| 11 | 1999 | 5 | |
| 12 | 1998 | 12 | |
| 13 | 1997 | 1 | |
| 14 | 1994 | 42 | |
| 15 | 1992 | 4 | |
| 16 | 1992 | 1 | |
| 17 | 1991 | 30 | |
| 18 | 1988 | 5 | |
| 19 | 1988 | 15 | |
| 20 | 1985 | 6 |
About W. Weimar
W. Weimar is a scholar working on Transplantation, Immunology, Surgery, Cardiology and Cardiovascular Medicine and Immunology and Allergy, having authored 137 papers that have together received 2.7k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (71 papers), Renal Transplantation Outcomes and Treatments (48 papers), Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (31 papers), Viral Infections and Immunology Research (28 papers), Organ Transplantation Techniques and Outcomes (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Transplantation (852 citations), Genetics (543 citations), Immunology (927 citations), Surgery (924 citations) and Hematology (191 citations). W. Weimar has collaborated with scholars based in Netherlands, United States and Greece. Frequent co-authors include Carla C. Baan, Aggie H.M.M. Balk, Martin J. Hoogduijn, Jan N.M. IJzermans, B. Mochtar, N. H. P. M. Jutte, Hubert G.M. Niesters, Sander S. Korevaar, Teun van Gelder and Dennis A. Hesselink. Their work appears in journals such as Transplant International, Clinical & Experimental Immunology, Transplant Immunology, The Journal of Heart and Lung Transplantation and American Journal of Transplantation.
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.