J. J. van Rood
- Immunology top 2%
- Hematology top 1%
- Surgery top 10%
- Genetics top 5%
- Transplantation top 1%
- Co-authors
- A. van LeeuwenJ. G. EernisseFrans H.J. ClaasB SpeckÉliane GluckmanEls GoulmyH. BalnerA. Termijtelen
- Topics
- T-cell and B-cell Immunology (23 papers)Renal Transplantation Outcomes and Treatments (19 papers)Hematopoietic Stem Cell Transplantation (13 papers)
- Cited by
- TransplantationHematologyImmunology
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
J. J. van Rood
88 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Immunology 1.1k
- Hematology 650
- Surgery 387
- Genetics 384
- Transplantation 305
Countries citing papers authored by J. J. van Rood
This map shows the geographic impact of J. J. van Rood'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 J. J. van Rood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. van Rood more than expected).
Fields of papers citing papers by J. J. van Rood
This network shows the impact of papers produced by J. J. van Rood. 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 J. J. van Rood. The network helps show where J. J. van Rood may publish in the future.
Co-authorship network of co-authors of J. J. van Rood
This figure shows the co-authorship network connecting the top 25 collaborators of J. J. van Rood. A scholar is included among the top collaborators of J. J. van Rood 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 J. J. van Rood. J. J. van Rood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 34 | |
| 3 | 31 | |
| 4 | 26 | |
| 5 | 71 | |
| 6 | 44 | |
| 7 | Quality of serological donor HLA typing: analysis of graft survival by HLA in renal transplantation recipients treated with cyclosporine. | 2 |
| 8 | 35 | |
| 9 | 43 | |
| 10 | 31 | |
| 11 | 46 | |
| 12 | 86 | |
| 13 | 39 | |
| 14 | Host-directed cytotoxic activity in bone marrow-grafted patients. | 5 |
| 15 | Antibodies to endothelial antigens in eluates of 88 human kidneys: correlation with graft survival and presence of T- and B-cell antibodies. | 19 |
| 16 | 27 | |
| 17 | HLA-D, -DR clinical significance. A new strategy to improve kidney graft survival | 6 |
| 18 | 2 | |
| 19 | 13 | |
| 20 | 6 |
About J. J. van Rood
J. J. van Rood is a scholar working on Transplantation, Hematology and Immunology, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (23 papers), Renal Transplantation Outcomes and Treatments (19 papers) and Hematopoietic Stem Cell Transplantation (13 papers). The work is most often cited by research in Transplantation (305 citations), Hematology (650 citations) and Immunology (1.1k citations). J. J. van Rood has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include A. van Leeuwen, J. G. Eernisse, Frans H.J. Claas, B Speck, Éliane Gluckman, Els Goulmy, H. Balner, A. Termijtelen, F.H.J. Claas and E Goulmy. Their work appears in journals such as Nature, The Lancet and Journal of Clinical Investigation.
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.