A. Termijtelen
- Immunology top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Hematology top 5%
- Genetics top 10%
- Co-authors
- J. J. van RoodPaola Panina‐BordignonAntonio LanzavecchiaAgnes L. TanGiampietro CorradinBenjamin BradleyEls GoulmyJon J. van Rood
- Topics
- T-cell and B-cell Immunology (50 papers)Immune Cell Function and Interaction (29 papers)Immunotherapy and Immune Responses (22 papers)
- Cited by
- ImmunologyTransplantationHematology
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
A. Termijtelen
64 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 1.7k
- Radiology, Nuclear Medicine and Imaging 499
- Molecular Biology 445
- Hematology 344
- Genetics 281
Countries citing papers authored by A. Termijtelen
This map shows the geographic impact of A. Termijtelen'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 A. Termijtelen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Termijtelen more than expected).
Fields of papers citing papers by A. Termijtelen
This network shows the impact of papers produced by A. Termijtelen. 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 A. Termijtelen. The network helps show where A. Termijtelen may publish in the future.
Co-authorship network of co-authors of A. Termijtelen
This figure shows the co-authorship network connecting the top 25 collaborators of A. Termijtelen. A scholar is included among the top collaborators of A. Termijtelen 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 A. Termijtelen. A. Termijtelen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 22 | |
| 3 | 30 | |
| 4 | 14 | |
| 5 | 45 | |
| 6 | 28 | |
| 7 | 49 | |
| 8 | Universally immunogenic T cell epitopes: promiscuous binding to human MHC class II and promiscuous recognition by T cellsbreakdown → | 619 |
| 9 | 23 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 23 | |
| 15 | 13 | |
| 16 | 19 | |
| 17 | 5 | |
| 18 | The importance of non-HLA systems and the feasibility of the use of unrelated donors in bone marrow transplantation. | 9 |
| 19 | The HLA linkage group. | 1 |
| 20 | 12 |
About A. Termijtelen
A. Termijtelen is a scholar working on Immunology, Transplantation and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (50 papers), Immune Cell Function and Interaction (29 papers) and Immunotherapy and Immune Responses (22 papers). The work is most often cited by research in Immunology (1.7k citations), Transplantation (148 citations) and Hematology (344 citations). A. Termijtelen has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include J. J. van Rood, Paola Panina‐Bordignon, Antonio Lanzavecchia, Agnes L. Tan, Giampietro Corradin, Benjamin Bradley, Els Goulmy, Jon J. van Rood, Helene Köster and David C. Anderson. Their work appears in journals such as Nature, New England Journal of Medicine and The Journal of Experimental Medicine.
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.