Iris N. Pardieck
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 2
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Ramon Arens (7 shared papers)Jacco van Rheenen (1 shared paper)Ton N. Schumacher (1 shared paper)Feline E. Dijkgraaf (1 shared paper)Mireille Toebes (1 shared paper)Laura Bornes (1 shared paper)Daniela S. Thommen (1 shared paper)Daisy Philips (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)iScience (1 paper)Medical Microbiology and Immunology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)JCI Insight (1 paper)
- Partner nations
- NetherlandsGermanyFrance
In The Last Decade
Iris N. Pardieck
9 papers receiving 224 citations
Peers
Comparison fields: 5 of 45
- Immunology 146
- Oncology 91
- Epidemiology 58
- Biological Psychiatry 4
- Biophysics 6
Countries citing papers authored by Iris N. Pardieck
This map shows the geographic impact of Iris N. Pardieck'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 Iris N. Pardieck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris N. Pardieck more than expected).
Fields of papers citing papers by Iris N. Pardieck
This network shows the impact of papers produced by Iris N. Pardieck. 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 Iris N. Pardieck. The network helps show where Iris N. Pardieck may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris N. Pardieck, 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 | 2020 | 99 | |
| 2 | 2019 | 72 | |
| 3 | 2021 | 27 | |
| 4 | 2015 | 8 | |
| 5 | 2020 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 |
About Iris N. Pardieck
Iris N. Pardieck is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Infectious Diseases, having authored 9 papers that have together received 224 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Herpesvirus Infections and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (146 citations), Oncology (91 citations), Epidemiology (58 citations), Biological Psychiatry (4 citations) and Biophysics (6 citations). Iris N. Pardieck has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Ramon Arens, Jacco van Rheenen, Ton N. Schumacher, Feline E. Dijkgraaf, Mireille Toebes, Laura Bornes, Daniela S. Thommen, Daisy Philips, Mirjam E. Hoekstra and Delphine Sauce. Their work appears in journals such as Frontiers in Immunology, iScience, Medical Microbiology and Immunology, Journal for ImmunoTherapy of Cancer and JCI Insight.
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.