Jorg J. A. Calis
- Immunology top 2%
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 6
- Transplantation top 5%
- Oncology top 5%
- CAR-T cell therapy research 3
- Molecular Biology top 5%
- vaccines and immunoinformatics approaches 5
- RNA modifications and cancer 4
- RNA Research and Splicing 3
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- Neonatal Respiratory Health Research 3
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- Pregnancy and preeclampsia studies 2
- Co-authors
- Can KeşmirBrad R. RosenbergAruna Dharshan De SilvaJason GreenbaumBjoern PetersDaniela WeiskopfAlessandro SetteTon N. Schumacher
- Cited by
- ImmunologyTransplantationOncology
- Journals
- Cell (1 paper)Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)
- 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
- Immunology 1.2k
- Transplantation 74
- Oncology 706
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 306
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
The 25 scholars most cited alongside Jorg J. A. Calis, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 76 | |
| 12 | Human ADAR1 Prevents Endogenous RNA from Triggering Translational Shutdownbreakdown → | 2018 | 378 |
| 13 | 2014 | 76 | |
| 14 | 2014 | 34 | |
| 15 | 2014 | 113 | |
| 16 | High-throughput epitope discovery reveals frequent recognition of neo-antigens by CD4+ T cells in human melanomabreakdown → | 2014 | 527 |
| 17 | Properties of MHC Class I Presented Peptides That Enhance Immunogenicitybreakdown → | 2013 | 623 |
| 18 | 2012 | 80 | |
| 19 | 2012 | 64 | |
| 20 | 2010 | 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), vaccines and immunoinformatics approaches (5 papers), RNA modifications and cancer (4 papers), CAR-T cell therapy research (3 papers), Neonatal Respiratory Health Research (3 papers), RNA Research and Splicing (3 papers) and Pregnancy and preeclampsia studies (2 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.