R.F. Schipper

1.6k total citations
27 papers, 1.3k citations indexed

About

R.F. Schipper is a scholar working on Immunology, Hematology and Genetics. According to data from OpenAlex, R.F. Schipper has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Hematology and 7 papers in Genetics. Recurrent topics in R.F. Schipper's work include T-cell and B-cell Immunology (13 papers), Diabetes and associated disorders (5 papers) and Immunotherapy and Immune Responses (5 papers). R.F. Schipper is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Diabetes and associated disorders (5 papers) and Immunotherapy and Immune Responses (5 papers). R.F. Schipper collaborates with scholars based in Netherlands, United States and Switzerland. R.F. Schipper's co-authors include Machteld Oudshoorn, Aloïs Gratwohl, J. D’Amaro, Jaak M. Vossen, Jon J. van Rood, F. Falkenburg, Hans C. van Houwelingen, Jos Pool, Georgia B. Vogelsang and Els Blokland and has published in prestigious journals such as New England Journal of Medicine, Blood and The Journal of Immunology.

In The Last Decade

R.F. Schipper

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.F. Schipper Netherlands 17 871 499 172 153 141 27 1.3k
Nancy Collins United States 18 529 0.6× 534 1.1× 218 1.3× 97 0.6× 110 0.8× 34 1.0k
Waldmann Ta United States 19 955 1.1× 280 0.6× 246 1.4× 172 1.1× 147 1.0× 53 1.5k
Ann‐Margaret Little United Kingdom 24 1.2k 1.4× 322 0.6× 234 1.4× 112 0.7× 259 1.8× 55 1.8k
J.‐M. Tiercy Switzerland 21 876 1.0× 434 0.9× 63 0.4× 102 0.7× 125 0.9× 59 1.3k
Richard Batchelor United Kingdom 13 694 0.8× 358 0.7× 96 0.6× 55 0.4× 76 0.5× 21 1.2k
R Storb United States 17 512 0.6× 888 1.8× 262 1.5× 53 0.3× 91 0.6× 34 1.2k
CF LeMaistre United States 11 537 0.6× 272 0.5× 209 1.2× 132 0.9× 55 0.4× 18 903
Christiane Werner‐Favre Switzerland 14 1.1k 1.3× 167 0.3× 170 1.0× 290 1.9× 108 0.8× 25 1.7k
Giuliana Cassese Germany 10 1.0k 1.2× 168 0.3× 198 1.2× 136 0.9× 80 0.6× 12 1.3k
Christophe Picard France 21 531 0.6× 326 0.7× 132 0.8× 55 0.4× 116 0.8× 94 1.2k

Countries citing papers authored by R.F. Schipper

Since Specialization
Citations

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

Fields of papers citing papers by R.F. Schipper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.F. Schipper. 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 R.F. Schipper. The network helps show where R.F. Schipper may publish in the future.

Co-authorship network of co-authors of R.F. Schipper

This figure shows the co-authorship network connecting the top 25 collaborators of R.F. Schipper. A scholar is included among the top collaborators of R.F. Schipper 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 R.F. Schipper. R.F. Schipper 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.
Schreuder, G. M. T., Frans H.J. Claas, Ilias I.N. Doxiadis, et al.. (2002). Histocompatibility and Corneal Transplantation. Developments in ophthalmology. 36. 22–41. 18 indexed citations
2.
Spyropoulou‐Vlachou, Maria, et al.. (2000). MHC class I and class II phenotype, gene, and haplotype frequencies in Greeks using molecular typing data. Human Immunology. 61(6). 615–623. 75 indexed citations
3.
Verduijn, Willem, et al.. (2000). HLA‐DRB and ‐DQB1 polymorphism in the Macedonian population. Tissue Antigens. 55(1). 53–56. 18 indexed citations
4.
Krul, E. J. T., R.F. Schipper, G. M. T. Schreuder, et al.. (1999). HLA and susceptibility to cervical neoplasia. Human Immunology. 60(4). 337–342. 67 indexed citations
5.
6.
Posthuma, E.F.M., J.H.F. Falkenburg, Jane F. Apperley, et al.. (1999). HLA-B8 and HLA-A3 coexpressed with HLA-B8 are associated with a reduced risk of the development of chronic myeloid leukemia. The Chronic Leukemia Working Party of the EBMT.. Blood. 93(11). 3863–5. 62 indexed citations
7.
Schipper, R.F., J. D’Amaro, Peter de Lange, et al.. (1998). Validation of haplotype frequency estimation methods. Human Immunology. 59(8). 518–523. 31 indexed citations
8.
Knijff, Peter de, R.F. Schipper, R. van der Meer, et al.. (1998). Selective co‐evolution of the D6STNFa microsatellite region with HLA class I and II loci. Tissue Antigens. 52(3). 213–219. 7 indexed citations
9.
Rood, J. J. van, et al.. (1998). Bone Marrow Donors Worldwide and cord blood stem cell transplantation.. PubMed. 22 Suppl 1. S19–21. 6 indexed citations
10.
Schipper, R.F., J. D’Amaro, Jaco Bakker, J. J. van Rood, & Machteld Oudshoorn. (1997). HLA gene and haplotype frequencies in bone marrow donors worldwide registries. Human Immunology. 52(1). 54–71. 84 indexed citations
11.
Goulmy, Els, R.F. Schipper, Jos Pool, et al.. (1996). Mismatches of Minor Histocompatibility Antigens between HLA-Identical Donors and Recipients and the Development of Graft-Versus-Host Disease after Bone Marrow Transplantation. New England Journal of Medicine. 334(5). 281–285. 443 indexed citations
12.
Schipper, R.F., G. M. T. Schreuder, J. D’Amaro, & Machteld Oudshoorn. (1996). HLA gene and haplotype frequencies in Dutch blood donors. Tissue Antigens. 48(5). 562–574. 52 indexed citations
13.
Schipper, R.F., Cécile A. C. M. van, J. D‘Amaro, & Machteld Oudshoorn. (1996). Minimal phenotype panels. Human Immunology. 51(2). 95–98. 30 indexed citations
14.
Schipper, R.F., J. D’Amaro, J. J. van Rood, & Machteld Oudshoorn. (1996). The probability that a phenotypically identical bone marrow donor is haplotypically identical. Human Immunology. 47(1-2). 81–81. 1 indexed citations
15.
Schipper, R.F., et al.. (1996). Validation of large data sets, an essential prerequisite for data analysis: an analytical survey of the Bone Marrow Donors Worldwide. Tissue Antigens. 47(3). 169–178. 30 indexed citations
16.
D‘Amaro, J., J. G. A. Houbiers, Jan W. Drijfhout, et al.. (1995). A computer program for predicting possible cytotoxic T lymphocyte epitopes based on HLA class I peptide-binding motifs. Human Immunology. 43(1). 13–18. 75 indexed citations
17.
Struyk, Linda, James T. Kurnick, Gail E. Hawes, et al.. (1993). T-cell receptor V-gene usage in synovial fluid lymphocytes of patients with chronic arthritis. Human Immunology. 37(4). 237–251. 49 indexed citations
18.
Kenter, Marcel, Ńel Otting, Jacqueline D.H. Anholts, et al.. (1992). Mhc-DRB diversity of the chimpanzee (Pan troglodytes). Immunogenetics. 37(1). 1–11. 69 indexed citations
19.
Schipper, R.F., Marcel Kenter, Tobias Rinke de Wit, & J. D‘Amaro. (1992). A personal computer program for large-scale comparisons of related nucleotide sequences. Computer applications in the biosciences. 8(6). 595–597. 2 indexed citations
20.
D’Amaro, J., et al.. (1991). Influence of pretransplant sensitization on the survival of corneal allografts.. PubMed. 23(1 Pt 1). 368–72. 10 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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