Jorg J. A. Calis
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology
- Co-authors
- Can KeşmirBrad R. RosenbergAruna Dharshan De SilvaJason GreenbaumBjoern PetersDaniela WeiskopfAlessandro SetteTon N. Schumacher
- Topics
- Immunotherapy and Immune Responses (8 papers)T-cell and B-cell Immunology (6 papers)vaccines and immunoinformatics approaches (5 papers)
- Cited by
- ImmunologyTransplantationOncology
- Journals
- CellNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Jorg J. A. Calis
21 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.3k
- Immunology 1.2k
- Oncology 706
- Radiology, Nuclear Medicine and Imaging 306
- Epidemiology 203
Countries citing papers authored by Jorg J. A. Calis
This map shows the geographic impact of Jorg J. A. Calis'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 Jorg J. A. Calis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorg J. A. Calis more than expected).
Fields of papers citing papers by Jorg J. A. Calis
This network shows the impact of papers produced by Jorg J. A. Calis. 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 Jorg J. A. Calis. The network helps show where Jorg J. A. Calis may publish in the future.
Co-authorship network of co-authors of Jorg J. A. Calis
This figure shows the co-authorship network connecting the top 25 collaborators of Jorg J. A. Calis. A scholar is included among the top collaborators of Jorg J. A. Calis 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 Jorg J. A. Calis. Jorg J. A. Calis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 76 | |
| 12 | Human ADAR1 Prevents Endogenous RNA from Triggering Translational Shutdownbreakdown → | 378 |
| 13 | 76 | |
| 14 | 34 | |
| 15 | 113 | |
| 16 | High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanomabreakdown → | 527 |
| 17 | Properties of MHC Class I Presented Peptides That Enhance Immunogenicitybreakdown → | 623 |
| 18 | 80 | |
| 19 | 64 | |
| 20 | 11 |
About Jorg J. A. Calis
Jorg J. A. Calis is a scholar working on Immunology, Transplantation and Oncology, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Immunology (1.2k citations), Transplantation (74 citations) and Oncology (706 citations). Jorg J. A. Calis has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Can Keşmir, Brad R. Rosenberg, Aruna Dharshan De Silva, Jason Greenbaum, Bjoern Peters, Daniela Weiskopf, Alessandro Sette, Ton N. Schumacher, Marit M. van Buuren and Charles M. Rice. Their work appears in journals such as Cell, Nature Medicine and SHILAP Revista de lepidopterología.
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.