T. de Witte

6.1k total citations
112 papers, 4.2k citations indexed

About

T. de Witte is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, T. de Witte has authored 112 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Hematology, 29 papers in Oncology and 25 papers in Immunology. Recurrent topics in T. de Witte's work include Hematopoietic Stem Cell Transplantation (66 papers), Acute Myeloid Leukemia Research (52 papers) and Acute Lymphoblastic Leukemia research (22 papers). T. de Witte is often cited by papers focused on Hematopoietic Stem Cell Transplantation (66 papers), Acute Myeloid Leukemia Research (52 papers) and Acute Lymphoblastic Leukemia research (22 papers). T. de Witte collaborates with scholars based in Netherlands, France and Germany. T. de Witte's co-authors include Aloïs Gratwohl, C. Haanen, Petra Muus, A Schattenberg, Enric Carreras, Frank Preijers, Tapani Ruutu, Nader G. Abraham, Frank A. D. T. G. Wagener and Erica Feldman and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

T. de Witte

110 papers receiving 4.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. de Witte 3.1k 918 843 832 788 112 4.2k
H. Jean Khoury 1.9k 0.6× 620 0.7× 783 0.9× 525 0.6× 635 0.8× 117 3.1k
John Kersey 1.9k 0.6× 715 0.8× 751 0.9× 780 0.9× 817 1.0× 66 3.5k
Cindy Ippoliti 2.9k 0.9× 608 0.7× 1.2k 1.4× 719 0.9× 1.3k 1.6× 81 4.4k
JA Hansen 3.4k 1.1× 780 0.8× 778 0.9× 561 0.7× 1.7k 2.1× 67 4.3k
Dominik Heim 1.9k 0.6× 702 0.8× 726 0.9× 386 0.5× 908 1.2× 160 4.1k
Isaac Ben‐Bassat 1.3k 0.4× 816 0.9× 587 0.7× 484 0.6× 600 0.8× 140 3.2k
Hélène Espérou 2.9k 0.9× 1.1k 1.1× 843 1.0× 925 1.1× 1.0k 1.3× 90 4.6k
Giovanna Meloni 3.7k 1.2× 1.0k 1.1× 1.3k 1.6× 1.9k 2.3× 507 0.6× 159 5.6k
Masahiro Tsuchida 2.9k 0.9× 527 0.6× 963 1.1× 1.2k 1.4× 944 1.2× 160 4.3k
E. C. Gordon‐Smith 2.6k 0.8× 708 0.8× 891 1.1× 328 0.4× 1.1k 1.4× 118 4.1k

Countries citing papers authored by T. de Witte

Since Specialization
Citations

This map shows the geographic impact of T. de Witte'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 T. de Witte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. de Witte more than expected).

Fields of papers citing papers by T. de Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. de Witte. 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 T. de Witte. The network helps show where T. de Witte may publish in the future.

Co-authorship network of co-authors of T. de Witte

This figure shows the co-authorship network connecting the top 25 collaborators of T. de Witte. A scholar is included among the top collaborators of T. de Witte 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 T. de Witte. T. de Witte 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.
Dickinson, Anne M., Kim Pearce, Jean Norden, et al.. (2010). Impact of genomic risk factors on outcome after hematopoietic stem cell transplantation for patients with chronic myeloid leukemia. Haematologica. 95(6). 922–927. 21 indexed citations
2.
Kröger, Nicolaus, Anja van Biezen, A. Zander, et al.. (2009). Risk factors for therapy-related myelodysplastic syndrome and acute myeloid leukemia treated with allogeneic stem cell transplantation. Haematologica. 94(4). 542–549. 87 indexed citations
3.
Onida, Francesco, R. Brand, Anja van Biezen, et al.. (2007). Effect of cytogenetics classification according to IPSS on the outcome of allogeneic HSCT from HLA-identical siblings in patients with MDS or secondary AML : a retrospective analysis from the EBMT-CLWP. Bone Marrow Transplantation. 39. 1 indexed citations
4.
Erpelinck-Verschueren, Claudia, Gorica Nikoloski, Bert A. van der Reijden, et al.. (2005). ID1 and ID2 are retinoic acid responsive genes and induce a G0/G1 accumulation in acute promyelocytic leukemia cells. Leukemia. 19(5). 799–805. 35 indexed citations
5.
6.
Boezeman, J.B.M., et al.. (2002). Single‐cell image analysis to assess ABC‐transporter–mediated efflux in highly purified hematopoietic progenitors. Cytometry. 49(4). 135–142. 14 indexed citations
7.
Witte, T. de, et al.. (2002). Acquired skewing of Lyonization remains stable for a prolonged period in healthy blood donors. Leukemia. 16(3). 362–367. 27 indexed citations
8.
Witte, T. de, JP Marie, Stefan Suciu, & Özlem Anak. (2002). Highlights and strategies of the EORTC Leukemia Group. European Journal of Cancer. 38. 94–99. 1 indexed citations
9.
Dijk, Johannes van, Manuel Aivado, Michel Delforge, et al.. (2001). Analysis of clonality by HUMARA PCR in high risk MDS patients before and after intensive anti-leukemic treatment. Blood. 98(11). 1 indexed citations
10.
11.
Witte, T. de, et al.. (2000). Intensive treatment strategies in patients with high-risk myelodysplastic syndrome and secondary acute myeloid leukemia. Blood Reviews. 14(4). 182–189. 8 indexed citations
12.
Runde, Volker, T. de Witte, R. Arnold, et al.. (1998). Bone marrow transplantation from HLA-identical siblings as first-line treatment in patients with myelodysplastic syndromes: early transplantation is associated with improved outcome. Bone Marrow Transplantation. 21(3). 255–261. 149 indexed citations
13.
Gratwohl, Aloïs, J. Hermans, JM Goldman, et al.. (1998). Risk assessment for patients with chronic myeloid leukaemia before allogeneic blood or marrow transplantation. The Lancet. 352(9134). 1087–1092. 451 indexed citations
14.
15.
Schaap, Nicolaas, A Schattenberg, Brigitte Bär, et al.. (1997). Outcome of transplantation for standard‐risk leukaemia with grafts depleted of lymphocytes after conditioning with an intensified regimen. British Journal of Haematology. 98(3). 750–759. 37 indexed citations
16.
Wagener, Frank A. D. T. G., Erica Feldman, T. de Witte, & Nader G. Abraham. (1997). Heme Induces the Expression of Adhesion Molecules ICAM-1, VCAM-1, and E Selectin in Vascular Endothelial Cells. Experimental Biology and Medicine. 216(3). 456–463. 200 indexed citations
17.
Raymakers, Reinier, et al.. (1994). Prognostic Implications of Bone Marrow Culturing in Myelodysplastic Syndrome: a Retrospective Analysis. Leukemia & lymphoma. 14(1-2). 111–120. 11 indexed citations
18.
Bär, Brigitte, A Schattenberg, E. J. B. M. Mensink, et al.. (1993). Donor leukocyte infusions for chronic myeloid leukemia relapsed after allogeneic bone marrow transplantation.. Journal of Clinical Oncology. 11(3). 513–519. 139 indexed citations
19.
Raymakers, Reinier, et al.. (1991). In vitro growth pattern and differentiation predict for progression of myelodysplastic syndromes to acute nonlymphocytic leukaemia. British Journal of Haematology. 78(1). 35–41. 29 indexed citations
20.
Preijers, Frank, W.J.M. Tax, J.M.C. Wessels, et al.. (1988). Different Susceptibilities of Normal T Cells and T Cell Lines to Immunotoxins. Scandinavian Journal of Immunology. 27(5). 533–540. 21 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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