R Delwel

1.3k total citations
17 papers, 994 citations indexed

About

R Delwel is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, R Delwel has authored 17 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in R Delwel's work include Acute Myeloid Leukemia Research (8 papers), Immune Response and Inflammation (5 papers) and Immune Cell Function and Interaction (5 papers). R Delwel is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Immune Response and Inflammation (5 papers) and Immune Cell Function and Interaction (5 papers). R Delwel collaborates with scholars based in Netherlands, United States and Czechia. R Delwel's co-authors include Bob Löwenberg, Peter J.M. Valk, LM Budel, Sanne Lugthart, Bas J. Wouters, I.P. Touw, Johannes L. Bos, A.J. van der Eb, JW Janssen and Matty Verlaan–de Vries and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Oncogene.

In The Last Decade

R Delwel

17 papers receiving 964 citations

Peers

R Delwel
Yoon-A Kang United States
R Delwel
Citations per year, relative to R Delwel R Delwel (= 1×) peers Yoon-A Kang

Countries citing papers authored by R Delwel

Since Specialization
Citations

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

Fields of papers citing papers by R Delwel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Delwel

This figure shows the co-authorship network connecting the top 25 collaborators of R Delwel. A scholar is included among the top collaborators of R Delwel 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 Delwel. R Delwel 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.
Liss, Adam L., Chia-Huey Ooi, Touati Benoukraf, et al.. (2013). The gene signature in CCAAT-enhancer-binding protein   dysfunctional acute myeloid leukemia predicts responsiveness to histone deacetylase inhibitors. Haematologica. 99(4). 697–705. 13 indexed citations
2.
Chamuleau, Martine E.D., Arjan A. van de Loosdrecht, Corine J. Hess, et al.. (2009). High INDO (indoleamine 2,3-dioxygenase) mRNA level in blasts of acute myeloid leukemic patients predicts poor clinical outcome (vol 93, pg 1894, 2008). Pure Amsterdam UMC. 94(8). 1182–1182. 3 indexed citations
3.
Suh, Hyung C., Wilairat Leeanansaksiri, Ming Ji, et al.. (2008). Id1 immortalizes hematopoietic progenitors in vitro and promotes a myeloproliferative disease in vivo. Oncogene. 27(42). 5612–5623. 45 indexed citations
4.
Verhaak, Roeland, Bas J. Wouters, Claudia Erpelinck-Verschueren, et al.. (2008). Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling. Haematologica. 94(1). 131–134. 246 indexed citations
5.
Chamuleau, Martine E.D., Arjan A. van de Loosdrecht, Corine J. Hess, et al.. (2008). High INDO (indoleamine 2,3-dioxygenase) mRNA level in blasts of acute myeloid leukemic patients predicts poor clinical outcome. Haematologica. 93(12). 1894–1898. 84 indexed citations
6.
Keeshan, Karen, Yiping He, Bas J. Wouters, et al.. (2006). Tribbles Homolog 2 (Trib2) Inactivates C/EBPalpha and Causes Acute Myelogenous Leukemia.. Blood. 108(11). 776–776. 20 indexed citations
7.
Lom, Kirsten van, et al.. (2000). Erythroid defects and increased retrovirally-induced tumor formation in Evi1 transgenic mice. Leukemia. 14(11). 1876–1884. 49 indexed citations
8.
Budel, LM, et al.. (1993). Effects of mast cell growth factor on acute myeloid leukemia cells in vitro: effects of combinations with other cytokines.. PubMed. 7(3). 426–34. 16 indexed citations
9.
Delwel, R, et al.. (1993). Four of the seven zinc fingers of the Evi-1 myeloid-transforming gene are required for sequence-specific binding to GA(C/T)AAGA(T/C)AAGATAA.. Molecular and Cellular Biology. 13(7). 4291–4300. 80 indexed citations
10.
Delwel, R, C van Buitenen, Bob Löwenberg, & Ivo P. Touw. (1992). Involvement of tumor necrosis factor (TNF) receptors p55 and p75 in TNF responses of acute myeloid leukemia blasts in vitro. Blood. 80(7). 1798–1803. 1 indexed citations
11.
Touw, Ivo P., K Pouwels, P Schipper, et al.. (1991). Acute myeloid leukemias with chromosomal abnormalities involving the 21q22 region identified by their in vitro responsiveness to interleukin-5.. PubMed. 5(8). 687–92. 26 indexed citations
14.
Salem, Mohammad, et al.. (1990). Modulation of colony stimulating factor-(CSF) dependent growth of acute myeloid leukemia by tumor necrosis factor.. PubMed. 4(1). 37–43. 33 indexed citations
17.
Bos, Johannes L., Matty Verlaan–de Vries, A.J. van der Eb, et al.. (1987). Mutations in N-ras predominate in acute myeloid leukemia. Blood. 69(4). 1237–1241. 195 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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