Theo M. de Witte

3.9k total citations · 1 hit paper
46 papers, 2.0k citations indexed

About

Theo M. de Witte is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Theo M. de Witte has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 17 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Theo M. de Witte's work include Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (14 papers) and Immune Cell Function and Interaction (8 papers). Theo M. de Witte is often cited by papers focused on Hematopoietic Stem Cell Transplantation (19 papers), Acute Myeloid Leukemia Research (14 papers) and Immune Cell Function and Interaction (8 papers). Theo M. de Witte collaborates with scholars based in Netherlands, Germany and France. Theo M. de Witte's co-authors include Harry Dolstra, Hanny Fredrix, Frans Maas, Richard M. Stone, Hagop M. Kantarjian, E. van de Wiel-van Kemenade, António E. Pinto, John M. Bennett, Miloslav Beran and Steven D. Gore and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Theo M. de Witte

43 papers receiving 1.9k citations

Hit Papers

Report of an international working group to standardize r... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theo M. de Witte Netherlands 19 1.4k 721 444 409 390 46 2.0k
Erica D. Warlick United States 25 1.6k 1.2× 812 1.1× 858 1.9× 311 0.8× 264 0.7× 109 2.4k
P. B. Mcglave United States 19 1.3k 0.9× 472 0.7× 394 0.9× 141 0.3× 357 0.9× 24 1.7k
Mouhab Ayas Saudi Arabia 21 756 0.5× 196 0.3× 261 0.6× 316 0.8× 251 0.6× 92 1.3k
Christiane Vermylen Belgium 20 568 0.4× 235 0.3× 224 0.5× 237 0.6× 491 1.3× 64 1.4k
Guillermo Montalban‐Bravo United States 23 1.5k 1.1× 169 0.2× 361 0.8× 766 1.9× 519 1.3× 202 1.9k
Kendra Sweet United States 22 1.1k 0.8× 191 0.3× 647 1.5× 617 1.5× 604 1.5× 180 1.8k
M Gyger Canada 19 712 0.5× 447 0.6× 219 0.5× 241 0.6× 170 0.4× 56 1.2k
Malin Hultcrantz United States 22 1.5k 1.1× 227 0.3× 516 1.2× 893 2.2× 1.1k 2.9× 113 2.2k
N Philippe France 18 456 0.3× 327 0.5× 220 0.5× 255 0.6× 266 0.7× 59 1.4k
Tu Xu United States 12 1.9k 1.4× 159 0.2× 438 1.0× 1.3k 3.1× 496 1.3× 29 2.4k

Countries citing papers authored by Theo M. de Witte

Since Specialization
Citations

This map shows the geographic impact of Theo M. 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 Theo M. 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 Theo M. de Witte more than expected).

Fields of papers citing papers by Theo M. de Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theo M. de Witte

This figure shows the co-authorship network connecting the top 25 collaborators of Theo M. de Witte. A scholar is included among the top collaborators of Theo M. 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 Theo M. de Witte. Theo M. 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.
Baerlecken, N.T., et al.. (2017). FRI0475 ANTI-CD74 antibodies as diagnostic biomarker for early axial spondyloarthritis: data from the spondyloarthritis caught early (SPACE) cohort study. Annals of the Rheumatic Diseases. 76. 666–667. 2 indexed citations
2.
Leavis, Helen L., et al.. (2016). Allogeneic stem cell transplantation in a patient with myelodysplastic syndrome and polyarteritis nodosa: a case report and systematic review. Annals of Hematology. 95(4). 645–647. 5 indexed citations
4.
Stern, M., Liesbeth C. de Wreede, R. Brand, et al.. (2014). Sensitivity of hematological malignancies to graft-versus-host effects: an EBMT megafile analysis. Leukemia. 28(11). 2235–2240. 73 indexed citations
5.
Norde, Wieger J., Frans Maas, Willemijn Hobo, et al.. (2011). PD-1/PD-L1 Interactions Contribute to Functional T-Cell Impairment in Patients Who Relapse with Cancer After Allogeneic Stem Cell Transplantation. Cancer Research. 71(15). 5111–5122. 126 indexed citations
6.
Farmand, Susan, Ulrich Baumann, Horst von Bernuth, et al.. (2011). Interdisziplinäre AWMF-Leitlinie zur Diagnostik von primären Immundefekten (S2k). Klinische Pädiatrie. 223(6). 378–385. 18 indexed citations
8.
Spanholtz, Jan, Marleen Tordoir, Diana Eissens, et al.. (2010). High Log-Scale Expansion of Functional Human Natural Killer Cells from Umbilical Cord Blood CD34-Positive Cells for Adoptive Cancer Immunotherapy. PLoS ONE. 5(2). e9221–e9221. 142 indexed citations
9.
Sack, Ulrich, Elena Csernok, Falk Hiepe, et al.. (2009). Autoantikörpernachweis mittels indirekter Immunfluoreszenz an HEp-2-Zellen. DMW - Deutsche Medizinische Wochenschrift. 134(24). 1278–1282. 9 indexed citations
10.
Witte, Theo M. de, et al.. (2008). Cyclophosphamid-Bolustherapie bei Lupusnephritis. DMW - Deutsche Medizinische Wochenschrift. 118(27/28). 1005–1010. 3 indexed citations
11.
Fredrix, Hanny, Aniek O. de Graaf, Joop H. Jansen, et al.. (2008). Expression of P2X5 in lymphoid malignancies results in LRH‐1‐specific cytotoxic T‐cell‐mediated lysis. British Journal of Haematology. 141(6). 799–807. 33 indexed citations
12.
Meer, Laurens T. van der, Jurgen A. Marteijn, Theo M. de Witte, Joop H. Jansen, & Bert A. van der Reijden. (2006). Gfi1 Protein Turnover Is Regulated by the Ubiquitin Ligase Triad1.. Blood. 108(11). 1173–1173.
13.
Zandman‐Goddard, Gisele, Miri Blank, Pnina Langevitz, et al.. (2003). Elevated anti-serum amyloid P component (SAP) antibodies in SLE patients. Arthritis Research. 5(Suppl 1). 32–32. 3 indexed citations
14.
Dolstra, Harry, Hanny Fredrix, A. Balas, et al.. (2002). Bi-directional allelic recognition of the human minor histocompatibility antigen HB-1 by cytotoxic T lymphocytes. European Journal of Immunology. 32(10). 2748–2758. 45 indexed citations
15.
Cheson, Bruce D., John M. Bennett, Hagop M. Kantarjian, et al.. (2000). Report of an international working group to standardize response criteria for myelodysplastic syndromes.. PubMed. 96(12). 3671–4. 524 indexed citations breakdown →
16.
Dolstra, Harry, Hanny Fredrix, Frans Maas, et al.. (1999). A Human Minor Histocompatibility Antigen Specific for B Cell Acute Lymphoblastic Leukemia. The Journal of Experimental Medicine. 189(2). 301–308. 180 indexed citations
17.
18.
Dolstra, Harry, Hanny Fredrix, Els Goulmy, et al.. (1997). Recognition of a B cell leukemia-associated minor histocompatibility antigen by CTL. The Journal of Immunology. 158(2). 560–565. 76 indexed citations
19.
Senator, Ted E., et al.. (1989). Naval Battle Management Decision Aiding.. Innovative Applications of Artificial Intelligence.
20.
Witte, Theo M. de, et al.. (1984). Separation of immunoreactive lymphocytes from human pluripotent stem cells (CFU-GEMM) by means of counterflow centrifugation. Annals of Hematology. 48(3). 139–145. 6 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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