Peter I. Schrier

5.7k total citations · 1 hit paper
88 papers, 4.8k citations indexed

About

Peter I. Schrier is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Peter I. Schrier has authored 88 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 39 papers in Molecular Biology and 38 papers in Oncology. Recurrent topics in Peter I. Schrier's work include Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (24 papers) and CAR-T cell therapy research (19 papers). Peter I. Schrier is often cited by papers focused on Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (24 papers) and CAR-T cell therapy research (19 papers). Peter I. Schrier collaborates with scholars based in Netherlands, Belgium and Austria. Peter I. Schrier's co-authors include A.J. van der Eb, René Bernards, Ada Houweling, Johannes L. Bos, R.T.M.J. Vaessen, Rogier Versteeg, D. J. Ruiter, Lucy T.C. Peltenburg, Susanne Osanto and Andrea van Elsas and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Peter I. Schrier

88 papers receiving 4.4k citations

Hit Papers

Expression of class I major histocompatibility antigens s... 1983 2026 1997 2011 1983 100 200 300 400

Peers

Peter I. Schrier
David Berd United States
Danielle Líénard Switzerland
Jill E. Slansky United States
Steven R. Tronick United States
Jim Xiang Canada
David Berd United States
Peter I. Schrier
Citations per year, relative to Peter I. Schrier Peter I. Schrier (= 1×) peers David Berd

Countries citing papers authored by Peter I. Schrier

Since Specialization
Citations

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

Fields of papers citing papers by Peter I. Schrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter I. Schrier. 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 I. Schrier. The network helps show where Peter I. Schrier may publish in the future.

Co-authorship network of co-authors of Peter I. Schrier

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

All Works

20 of 20 papers shown
1.
Borghi, Martina, Corlien A. Aarnoudse, Menzo Havenga, et al.. (2003). CD4+ Th2 Cell Recognition of HLA-DR-Restricted Epitopes Derived from CAMEL: A Tumor Antigen Translated in an Alternative Open Reading Frame. The Journal of Immunology. 170(3). 1490–1497. 40 indexed citations
2.
Ruwhof, Cindy, et al.. (2001). Direct, Autocrine and Paracrine Effects of Cyclic Stretch on Growth of Myocytes and Fibroblasts Isolated from Neonatal Rat Ventricles. Archives of Physiology and Biochemistry. 109(1). 10–18. 11 indexed citations
3.
Griffioen, Marieke, Martina Borghi, Peter I. Schrier, & Susanne Osanto. (2001). Detection and quantification of CD8+ T cells specific for HLA-A*0201-binding melanoma and viral peptides by the IFN-?-elispot assay. International Journal of Cancer. 93(4). 549–555. 28 indexed citations
4.
Wamel, Annemieke van, et al.. (2000). Rapid Effects of Stretched Myocardial and Vascular Cells on Gene Expression of Neonatal Rat Cardiomyocytes with Emphasis on Autocrine and Paracrine Mechanisms. Archives of Biochemistry and Biophysics. 381(1). 67–73. 20 indexed citations
5.
Aarnoudse, Corlien A., Petra B. van den Doel, Bianca Heemskerk, & Peter I. Schrier. (1999). Interleukin-2-induced, melanoma-specific T cells recognize camel, an unexpected translation product ofLAGE-1. International Journal of Cancer. 82(3). 442–448. 81 indexed citations
6.
Griffioen, Marieke, et al.. (1998). Repression of the minimal hla-b promoter by c-myc and p53 occurs through independent mechanisms. Molecular Immunology. 35(13). 829–835. 18 indexed citations
7.
Luyten, Gregorius P. M., K. Sintnicolaas, Itte de Waard‐Siebinga, et al.. (1998). Expression of MAGE, gp100 and tyrosinase genes in uveal melanoma cell lines. Melanoma Research. 8(1). 11–12. 39 indexed citations
8.
Brouwenstijn, Nathalie, et al.. (1998). Definition of Unique and Shared T-Cell Defined Tumor Antigens in Human Renal Cell Carcinoma. Journal of Immunotherapy. 21(6). 427–434. 14 indexed citations
9.
Brouwenstijn, Nathalie, et al.. (1997). Transcription of the gene encoding melanoma-associated antigen gp100 in tissues and cell lines other than those of the melanocytic lineage. British Journal of Cancer. 76(12). 1562–1566. 39 indexed citations
11.
Gaugler, Béatrice, Nathalie Brouwenstijn, Valérie Vantomme, et al.. (1996). A new gene coding for an antigen recognized by autologous cytolytic T lymphocytes on a human renal carcinoma. Immunogenetics. 44(5). 323–330. 144 indexed citations
12.
Brouwenstijn, Nathalie, et al.. (1996). Renal-cell carcinoma-specific lysis by cytotoxic T-lymphocyte clones isolated from peripheral blood lymphocytes and tumor-infiltrating lymphocytes. International Journal of Cancer. 68(2). 177–182. 42 indexed citations
13.
Elsas, Andrea van, Shuraila F. Zerp, S. van der Flier, et al.. (1995). Analysis of N-ras mutations in human cutaneous melanoma: tumor heterogeneity detected by polymerase chain reaction/single-stranded conformation polymorphism analysis. Cancer Research. 139. 57–67. 1 indexed citations
14.
Waard‐Siebinga, Itte de, et al.. (1995). Establishment and characterization of an uveal‐melanoma cell line. International Journal of Cancer. 62(2). 155–161. 178 indexed citations
15.
Elsas, Andrea van, Shuraila F. Zerp, S. van der Flier, et al.. (1995). Analysis of N-ras Mutations in Human Cutaneous Melanoma: Tumor Heterogeneity Detected by Polymerase Chain Reaction/Single-Stranded Conformation Polymorphism Analysis. Recent results in cancer research. 139. 57–67. 36 indexed citations
16.
Peltenburg, Lucy T.C. & Peter I. Schrier. (1994). Transcriptional suppression of HLA-B expression by c-Myc is mediated through the core promoter elements. Immunogenetics. 40(1). 54–61. 31 indexed citations
17.
Elsas, Andrea van, et al.. (1994). ras Oncogene Activation Does Not Induce Sensitivity to Natural Killer Cell-Mediated Lysis in Human Melanoma.. Journal of Investigative Dermatology. 103(s5). 117S–121S. 2 indexed citations
18.
Schrier, Peter I.. (1992). Melanoma genetics and cytogenetics. Clinics in Dermatology. 10(1). 31–39. 3 indexed citations
19.
Peltenburg, Lucy T.C., et al.. (1992). c‐myc‐induced natural killer cell sensitivity of human melanoma cells is reversed by HLA‐B27 transfection. European Journal of Immunology. 22(10). 2737–2740. 17 indexed citations
20.
Eb, A.J. van der, René Bernards, Peter I. Schrier, et al.. (1983). Altered expression of cellular genes in adenovirus-transformed cells. Cancer Cell. 2. 501–510. 4 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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