Peter‐Paul A. Unger

566 total citations
17 papers, 378 citations indexed

About

Peter‐Paul A. Unger is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Peter‐Paul A. Unger has authored 17 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 3 papers in Pathology and Forensic Medicine and 2 papers in Molecular Biology. Recurrent topics in Peter‐Paul A. Unger's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Peter‐Paul A. Unger is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (7 papers). Peter‐Paul A. Unger collaborates with scholars based in Netherlands, France and Germany. Peter‐Paul A. Unger's co-authors include Anja ten Brinke, S. Marieke van Ham, Felix M. Wensveen, Eric Eldering, Klaas P. J. M. van Gisbergen, Natasja A. M. Kragten, René A. W. van Lier, Paul L. Klarenbeek, Paul P. Tak and Martijn A. Nolte and has published in prestigious journals such as Nature, Immunity and The Journal of Immunology.

In The Last Decade

Peter‐Paul A. Unger

17 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter‐Paul A. Unger Netherlands 10 257 75 70 59 42 17 378
Jacquelyn M. Lykken United States 6 220 0.9× 78 1.0× 40 0.6× 41 0.7× 54 1.3× 20 351
Jehad H. Edwan United States 8 285 1.1× 55 0.7× 54 0.8× 16 0.3× 44 1.0× 11 383
Hana Zdimerova Switzerland 6 134 0.5× 130 1.7× 76 1.1× 62 1.1× 36 0.9× 11 262
Louise Corlett United Kingdom 8 246 1.0× 50 0.7× 29 0.4× 37 0.6× 44 1.0× 12 420
Michele Smart United States 12 219 0.9× 42 0.6× 40 0.6× 32 0.5× 72 1.7× 22 346
J. Lou Switzerland 9 140 0.5× 51 0.7× 26 0.4× 24 0.4× 80 1.9× 15 374
Ilko Kastirr Italy 6 272 1.1× 68 0.9× 22 0.3× 50 0.8× 74 1.8× 6 389
Olivia Marini Italy 5 412 1.6× 131 1.7× 19 0.3× 33 0.6× 83 2.0× 6 479
Willianne Hoepel Netherlands 11 182 0.7× 29 0.4× 31 0.4× 36 0.6× 79 1.9× 15 343
Martine Reijm Netherlands 6 344 1.3× 107 1.4× 25 0.4× 56 0.9× 24 0.6× 10 451

Countries citing papers authored by Peter‐Paul A. Unger

Since Specialization
Citations

This map shows the geographic impact of Peter‐Paul A. Unger'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 Peter‐Paul A. Unger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter‐Paul A. Unger more than expected).

Fields of papers citing papers by Peter‐Paul A. Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter‐Paul A. Unger. 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 Peter‐Paul A. Unger. The network helps show where Peter‐Paul A. Unger may publish in the future.

Co-authorship network of co-authors of Peter‐Paul A. Unger

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

All Works

17 of 17 papers shown
1.
Verstegen, Niels J. M., Peter‐Paul A. Unger, George Elias, et al.. (2023). Single-cell analysis reveals dynamics of human B cell differentiation and identifies novel B and antibody-secreting cell intermediates. eLife. 12. 13 indexed citations
2.
Engelenburg, Hendrik J., Malou Janssen, Peter‐Paul A. Unger, et al.. (2023). Selective emergence of antibody-secreting cells in the multiple sclerosis brain. EBioMedicine. 89. 104465–104465. 19 indexed citations
3.
Langerak, Thomas, Michelle Broekhuizen, Peter‐Paul A. Unger, et al.. (2022). Transplacental Zika virus transmission in ex vivo perfused human placentas. PLoS neglected tropical diseases. 16(4). e0010359–e0010359. 12 indexed citations
4.
Unger, Peter‐Paul A., et al.. (2022). T-cells in human trigeminal ganglia express canonical tissue-resident memory T-cell markers. Journal of Neuroinflammation. 19(1). 249–249. 7 indexed citations
5.
Unger, Peter‐Paul A., et al.. (2021). Soluble FAS Ligand Enhances Suboptimal CD40L/IL-21–Mediated Human Memory B Cell Differentiation into Antibody-Secreting Cells. The Journal of Immunology. 207(2). 449–458. 7 indexed citations
6.
Unger, Peter‐Paul A., Niels J. M. Verstegen, Tineke Jorritsma, et al.. (2021). Minimalistic In Vitro Culture to Drive Human Naive B Cell Differentiation into Antibody-Secreting Cells. Cells. 10(5). 1183–1183. 15 indexed citations
7.
Unger, Peter‐Paul A., Ellen Vermeulen, Simone Kruithof, et al.. (2020). Divergent chemokine receptor expression and the consequence for human IgG4 B cell responses. European Journal of Immunology. 50(8). 1113–1125. 21 indexed citations
8.
Verstegen, Niels J. M., Peter‐Paul A. Unger, Benoît P. Nicolet, et al.. (2019). Human B Cells Engage the NCK/PI3K/RAC1 Axis to Internalize Large Particles via the IgM-BCR. Frontiers in Immunology. 10. 415–415. 7 indexed citations
9.
Langelaar, Jamie van, Liza Rijvers, Malou Janssen, et al.. (2019). Induction of brain‐infiltrating T‐bet–expressing B cells in multiple sclerosis. Annals of Neurology. 86(2). 264–278. 67 indexed citations
10.
Unger, Peter‐Paul A., David W. Vredevoogd, Ellen Vermeulen, et al.. (2018). In vitro-Induced Human IL-10+ B Cells Do Not Show a Subset-Defining Marker Signature and Plastically Co-express IL-10 With Pro-Inflammatory Cytokines. Frontiers in Immunology. 9. 1913–1913. 44 indexed citations
11.
Unger, Peter‐Paul A. & O Ramgren. (2015). Automated Analysis in Blood-Group Serology and Haematology. Proceedings of the International Society of Blood Transfusion. 23. 959–963. 1 indexed citations
12.
Wensveen, Felix M., Peter‐Paul A. Unger, Natasja A. M. Kragten, et al.. (2012). CD70-Driven Costimulation Induces Survival or Fas-Mediated Apoptosis of T Cells Depending on Antigenic Load. The Journal of Immunology. 188(9). 4256–4267. 20 indexed citations
13.
Gisbergen, Klaas P. J. M. van, Paul L. Klarenbeek, Natasja A. M. Kragten, et al.. (2011). The Costimulatory Molecule CD27 Maintains Clonally Diverse CD8+ T Cell Responses of Low Antigen Affinity to Protect against Viral Variants. Immunity. 35(1). 97–108. 108 indexed citations
14.
Unger, Peter‐Paul A., et al.. (1968). Separation of lymphocytes: a comparison of two methods.. PubMed. 25(1). 33–7. 1 indexed citations
15.
Unger, Peter‐Paul A., et al.. (1964). A Centrifuge for Separation and Collection of Fractions in Separate Containers Under Sterile Conditions. Nature. 201(4914). 32–35. 1 indexed citations
16.
Unger, Peter‐Paul A., et al.. (1963). EFFECT OF EXTRACORPOREAL CIRCULATION ON HEMATOPOIESIS AND PHAGOCYTOSIS.. PubMed. 4. 664–8. 33 indexed citations
17.
Unger, Peter‐Paul A. & O Ramgren. (1962). A New Centrifuge for Washing Erythrocytes for the AHG (Coombs) Test and Other Procedures. Scandinavian Journal of Clinical and Laboratory Investigation. 14(5). 435–442. 2 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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