Frank M. Raaphorst

2.7k total citations
38 papers, 2.2k citations indexed

About

Frank M. Raaphorst is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Frank M. Raaphorst has authored 38 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Immunology and 6 papers in Hematology. Recurrent topics in Frank M. Raaphorst's work include Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (16 papers) and RNA modifications and cancer (11 papers). Frank M. Raaphorst is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Cancer-related gene regulation (16 papers) and RNA modifications and cancer (11 papers). Frank M. Raaphorst collaborates with scholars based in Netherlands, United States and Germany. Frank M. Raaphorst's co-authors include Chris J.L.M. Meijer, Arie P. Otte, Elly Fieret, Folkert J. van Kemenade, Tjasso Blokzijl, Karien M. Hamer, David Satijn, Danny F. Dukers, Judy M. Teale and Richard G. A. B. Sewalt and has published in prestigious journals such as Blood, The Journal of Immunology and Human Molecular Genetics.

In The Last Decade

Frank M. Raaphorst

38 papers receiving 2.2k citations

Peers

Frank M. Raaphorst
G A Niehans United States
Lise Mette Rahbek Gjerdrum Denmark
M. Andreeff United States
Michael Agrez Australia
Joop Gäken United Kingdom
Rosalyn Slater Netherlands
Andries C. Bloem Netherlands
David Roulois France
Paola Francia di Celle Italy
Rogers C. Griffith United States
G A Niehans United States
Frank M. Raaphorst
Citations per year, relative to Frank M. Raaphorst Frank M. Raaphorst (= 1×) peers G A Niehans

Countries citing papers authored by Frank M. Raaphorst

Since Specialization
Citations

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

Fields of papers citing papers by Frank M. Raaphorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank M. Raaphorst. 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 Frank M. Raaphorst. The network helps show where Frank M. Raaphorst may publish in the future.

Co-authorship network of co-authors of Frank M. Raaphorst

This figure shows the co-authorship network connecting the top 25 collaborators of Frank M. Raaphorst. A scholar is included among the top collaborators of Frank M. Raaphorst 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 Frank M. Raaphorst. Frank M. Raaphorst 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.
Raaphorst, Frank M.. (2005). Of Mice, Flies, and Man: The Emerging Role of Polycomb-Group Genes in Human Malignant Lymphomas. International Journal of Hematology. 81(4). 281–287. 11 indexed citations
2.
3.
Dukers, Danny F., Joost C. van Galen, Patty M. Jansen, et al.. (2004). Unique Polycomb Gene Expression Pattern in Hodgkin's Lymphoma and Hodgkin's Lymphoma-Derived Cell Lines. American Journal Of Pathology. 164(3). 873–881. 97 indexed citations
4.
Raaphorst, Frank M., Maarten H. Vermeer, Elly Fieret, et al.. (2004). Site-Specific Expression of Polycomb-Group Genes Encoding the HPC-HPH/PRC1 Complex in Clinically Defined Primary Nodal and Cutaneous Large B-Cell Lymphomas. American Journal Of Pathology. 164(2). 533–542. 25 indexed citations
5.
Lont, Anne P., Simon Horenblas, M.P.W. Gallee, et al.. (2003). Evidence for at least three alternative mechanisms targeting the p16INK4A/cyclin D/Rb pathway in penile carcinoma, one of which is mediated by high‐risk human papillomavirus. The Journal of Pathology. 201(1). 109–118. 113 indexed citations
6.
Raaphorst, Frank M.. (2003). Self-renewal of hematopoietic and leukemic stem cells: a central role for the Polycomb-group gene Bmi-1. Trends in Immunology. 24(10). 522–524. 74 indexed citations
7.
Raaphorst, Frank M., Robert L. Schelonka, Janice M. Rusnak, Anthony J. Infante, & Judy M. Teale. (2002). TCRBV CDR3 diversity of cd4+ and cd8+ t-lymphocytes in HIV-infected individuals. Human Immunology. 63(1). 51–60. 12 indexed citations
8.
Gökmen, Erhan, Carlos Bachier, Frank M. Raaphorst, et al.. (2001). Ex Vivo-Expanded Hematopoietic Cell Graft Recipients Exhibit T Cell Repertoire Diversity Similar to That Seen After Conventional Stem Cell Transplants. Journal of Hematotherapy & Stem Cell Research. 10(1). 53–66. 2 indexed citations
9.
Raaphorst, Frank M., Arie P. Otte, Folkert J. van Kemenade, et al.. (2001). Distinct BMI-1 and EZH2 Expression Patterns in Thymocytes and Mature T Cells Suggest a Role for Polycomb Genes in Human T Cell Differentiation. The Journal of Immunology. 166(10). 5925–5934. 62 indexed citations
10.
Gunster, Marco J., Frank M. Raaphorst, Karien M. Hamer, et al.. (2001). Differential expression of human Polycomb group proteins in various tissues and cell types. Journal of Cellular Biochemistry. 81(S36). 129–143. 41 indexed citations
11.
Kostense, Stefan, Frank M. Raaphorst, Daan W. Notermans, et al.. (2001). T cell expansions in lymph nodes and peripheral blood in HIV-1-infected individuals: effect of antiretroviral therapy. AIDS. 15(9). 1097–1107. 20 indexed citations
12.
Raaphorst, Frank M., Arie P. Otte, & Chris J.L.M. Meijer. (2001). Polycomb-group genes as regulators of mammalian lymphopoiesis. Trends in Immunology. 22(12). 682–690. 61 indexed citations
13.
Raaphorst, Frank M., Folkert J. van Kemenade, Elly Fieret, et al.. (2000). Cutting Edge: Polycomb Gene Expression Patterns Reflect Distinct B Cell Differentiation Stages in Human Germinal Centers. The Journal of Immunology. 164(1). 1–4. 82 indexed citations
14.
Raaphorst, Frank M., Folkert J. van Kemenade, Tjasso Blokzijl, et al.. (2000). Coexpression of BMI-1 and EZH2 Polycomb Group Genes in Reed-Sternberg Cells of Hodgkin’s Disease. American Journal Of Pathology. 157(3). 709–715. 138 indexed citations
15.
Raaphorst, Frank M., Erhan Gökmen, & Judy M. Teale. (1998). Analysis of clonal diversity in mouse immunoglobulin heavy chain genes selected for size of the antigen combining site. Immunological Investigations. 27(6). 355–365. 2 indexed citations
16.
Raaphorst, Frank M., et al.. (1997). Expression of the Human Immunoglobulin Heavy Chain VH6 Gene Element by Fetal B Lymphocytes. Scandinavian Journal of Immunology. 46(3). 292–297. 10 indexed citations
17.
Raaphorst, Frank M., C.S. Raman, Barry T. Nall, & Judy M. Teale. (1997). Molecular mechanisms governing reading frame choice of immunoglobulin diversity genes. Immunology Today. 18(1). 37–43. 37 indexed citations
18.
Raaphorst, Frank M., Jeroen van Bergen, Maarten van der Keur, et al.. (1994). Usage of TCRAV and TCRBV gene families in human fetal and adult TCR rearrangements. Immunogenetics. 39(5). 343–350. 13 indexed citations
19.
Raaphorst, Frank M., Eric L. Kaijzel, Maarten J. D. van Tol, Jaak M. Vossen, & Peter J. van den Elsen. (1994). Non-random employment of Vβ6 and Jβ gene elements and conserved amino acid usage profiles in CDR3 regions of human fetal and adult TCR β chain rearrangements. International Immunology. 6(1). 1–9. 35 indexed citations
20.

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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