Iris N. Pardieck

452 total citations
9 papers, 224 citations indexed

About

Iris N. Pardieck is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Iris N. Pardieck has authored 9 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Iris N. Pardieck's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Iris N. Pardieck is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Iris N. Pardieck collaborates with scholars based in Netherlands, Germany and United Kingdom. Iris N. Pardieck's co-authors include Ramon Arens, Ton N. Schumacher, Mireille Toebes, Laura Bornes, Mirjam E. Hoekstra, Daisy Philips, Daniela S. Thommen, Jacco van Rheenen, Feline E. Dijkgraaf and Debbie van Baarle and has published in prestigious journals such as Frontiers in Immunology, EMBO Reports and Journal for ImmunoTherapy of Cancer.

In The Last Decade

Iris N. Pardieck

9 papers receiving 224 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Iris N. Pardieck Netherlands 5 146 91 64 58 15 9 224
Serena Vegna Netherlands 7 134 0.9× 59 0.6× 80 1.3× 61 1.1× 16 1.1× 10 246
Denise E. de Almeida Nagata United States 7 169 1.2× 68 0.7× 80 1.3× 89 1.5× 19 1.3× 7 292
François Asperti-Boursin France 7 198 1.4× 83 0.9× 59 0.9× 46 0.8× 11 0.7× 9 294
Elena Bruni Italy 7 225 1.5× 85 0.9× 39 0.6× 39 0.7× 15 1.0× 9 299
Shihui Foo Singapore 5 104 0.7× 41 0.5× 49 0.8× 29 0.5× 13 0.9× 7 173
Cintia L. Araujo Furlan Argentina 6 253 1.7× 206 2.3× 56 0.9× 95 1.6× 8 0.5× 8 401
Erin A. Holcomb United States 9 80 0.5× 57 0.6× 46 0.7× 78 1.3× 11 0.7× 12 249
Chin‐Nien Lee Australia 7 234 1.6× 63 0.7× 90 1.4× 19 0.3× 17 1.1× 7 289
Jesus A. Alonso United States 9 170 1.2× 74 0.8× 108 1.7× 22 0.4× 39 2.6× 10 255
Maxime Thoreau France 5 159 1.1× 87 1.0× 79 1.2× 20 0.3× 27 1.8× 7 233

Countries citing papers authored by Iris N. Pardieck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Iris N. Pardieck

This figure shows the co-authorship network connecting the top 25 collaborators of Iris N. Pardieck. A scholar is included among the top collaborators of Iris N. Pardieck 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 Iris N. Pardieck. Iris N. Pardieck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bergen, Jeroen van, Marcel Camps, Iris N. Pardieck, et al.. (2023). Multiantigen pan-sarbecovirus DNA vaccines generate protective T cell immune responses. JCI Insight. 8(21). 4 indexed citations
2.
Spanjaard, Aldo, Muhammad Assad Aslam, Paul C.M. van den Berk, et al.. (2023). Huwe1 supports B-cell development, B-cell-dependent immunity, somatic hypermutation and class switch recombination by regulating proliferation. Frontiers in Immunology. 13. 986863–986863. 2 indexed citations
3.
Sluis, Tetje C. van der, Suzanne van Duikeren, Iris N. Pardieck, et al.. (2023). Delayed vaccine-induced CD8+ T cell expansion by topoisomerase I inhibition mediates enhanced CD70-dependent tumor eradication. Journal for ImmunoTherapy of Cancer. 11(11). e007158–e007158. 3 indexed citations
4.
Pardieck, Iris N., Suzanne van Duikeren, Anke Redeker, et al.. (2022). Dominant Antiviral CD8+ T Cell Responses Empower Prophylactic Antibody-Eliciting Vaccines Against Cytomegalovirus. Frontiers in Immunology. 13. 3 indexed citations
5.
Aslam, Muhammad Assad, Mir Farshid Alemdehy, Marieta Cagánová, et al.. (2021). Histone methyltransferase DOT1L controls state‐specific identity during B cell differentiation. EMBO Reports. 22(2). e51184–e51184. 27 indexed citations
6.
Hoekstra, Mirjam E., Laura Bornes, Feline E. Dijkgraaf, et al.. (2020). Long-distance modulation of bystander tumor cells by CD8+ T-cell-secreted IFN-γ. Nature Cancer. 1(3). 291–301. 99 indexed citations
7.
Abdelaal, Tamim, Iris N. Pardieck, Thomas H. Wesselink, et al.. (2020). Memory CD8+ T cell heterogeneity is primarily driven by pathogen-specific cues and additionally shaped by the tissue environment. iScience. 24(1). 101954–101954. 6 indexed citations
8.
Pardieck, Iris N., et al.. (2019). The hallmarks of CMV-specific CD8 T-cell differentiation. Medical Microbiology and Immunology. 208(3-4). 365–373. 72 indexed citations
9.
Pardieck, Iris N., et al.. (2015). Novel avenues in immunotherapies for colorectal cancer. Expert Review of Gastroenterology & Hepatology. 10(4). 465–480. 8 indexed citations

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.

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