Arjan van de Loosdrecht

1.2k total citations
22 papers, 643 citations indexed

About

Arjan van de Loosdrecht is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Arjan van de Loosdrecht has authored 22 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Arjan van de Loosdrecht's work include Acute Myeloid Leukemia Research (17 papers), CAR-T cell therapy research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Arjan van de Loosdrecht is often cited by papers focused on Acute Myeloid Leukemia Research (17 papers), CAR-T cell therapy research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Arjan van de Loosdrecht collaborates with scholars based in Netherlands, Germany and Japan. Arjan van de Loosdrecht's co-authors include Kíyoyuki Ogata, Denise A. Wells, Michael R. Loken, Alberto Órfão, Wolfgang R. Sperr, Peter Valent, Otto Krieger, Hans‐Peter Horny, Hans-Jochen Kölb and Torsten Haferlach and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Oncotarget.

In The Last Decade

Arjan van de Loosdrecht

17 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjan van de Loosdrecht Netherlands 9 547 252 123 108 105 22 643
Canan Alhan Netherlands 13 480 0.9× 203 0.8× 72 0.6× 107 1.0× 128 1.2× 32 520
Kathrin Nachtkamp Germany 15 808 1.5× 427 1.7× 184 1.5× 86 0.8× 52 0.5× 53 876
Vilasini Shetty United States 15 654 1.2× 189 0.8× 328 2.7× 106 1.0× 162 1.5× 21 811
V. Shetty United States 7 505 0.9× 135 0.5× 250 2.0× 76 0.7× 130 1.2× 9 643
Janet Hayden United Kingdom 6 531 1.0× 169 0.7× 102 0.8× 31 0.3× 274 2.6× 11 648
Tiejun Qin China 15 471 0.9× 323 1.3× 232 1.9× 39 0.4× 36 0.3× 88 599
Laurie Lisak United States 12 533 1.0× 182 0.7× 281 2.3× 63 0.6× 62 0.6× 15 625
A. Kuendgen Germany 10 572 1.0× 296 1.2× 232 1.9× 65 0.6× 30 0.3× 22 690
Sairah Alvi United States 11 461 0.8× 128 0.5× 208 1.7× 73 0.7× 110 1.0× 13 560
Ilaria Ambaglio Italy 8 750 1.4× 507 2.0× 164 1.3× 71 0.7× 25 0.2× 15 798

Countries citing papers authored by Arjan van de Loosdrecht

Since Specialization
Citations

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

Fields of papers citing papers by Arjan van de Loosdrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjan van de Loosdrecht. 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 Arjan van de Loosdrecht. The network helps show where Arjan van de Loosdrecht may publish in the future.

Co-authorship network of co-authors of Arjan van de Loosdrecht

This figure shows the co-authorship network connecting the top 25 collaborators of Arjan van de Loosdrecht. A scholar is included among the top collaborators of Arjan van de Loosdrecht 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 Arjan van de Loosdrecht. Arjan van de Loosdrecht 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
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Singh, Satwinder, Eva Wagner-Drouet, Uwe Platzbecker, et al.. (2023). P1387: TREATMENT WITH A LEUKEMIA-DERIVED DENDRITIC CELL VACCINE INDUCES INNATE AND ADAPTIVE IMMUNE RESPONSE CORRELATING WITH CLINICAL RESPONSE IN AML PATIENTS IN CR1 WITH MEASURABLE RESIDUAL DISEASE. HemaSphere. 7(S3). e95344a6–e95344a6. 1 indexed citations
3.
Kibbelaar, Robby E., et al.. (2022). Management of infection prophylaxis in Dutch patients with myelodysplastic syndromes, a web‐based case vignette questionnaire: The MINDSET study. European Journal Of Haematology. 109(4). 381–387. 1 indexed citations
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Oelschlaegel, Uta, Aida Santaolalla, Susann Winter, et al.. (2021). Independent Prognostic Value of Flow Cytometry (FCM) in Myelodysplastic Syndromes (MDS) - Composition of a Prognostic FCM-Score for Overall Survival. Blood. 138(Supplement 1). 2603–2603.
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Duetz, Carolien, Sofie Van Gassen, Theresia M. Westers, et al.. (2020). Machine Learning-Based Flow Cytometry Diagnostics in Myelodysplastic Syndromes: Validation in the HOVON89 Clinical Trial (EudraCT 2008-002195-10). Blood. 136(Supplement 1). 10–12. 1 indexed citations
8.
Loosdrecht, Arjan van de, Bjørn Tore Gjertsen, Eva Wagner, et al.. (2020). Conversion from MRD Positive to Negative Status in AML Patients in CR1 after Treatment with an Allogeneic Leukemia-Derived Dendritic Cell Vaccine. Blood. 136(Supplement 1). 13–14. 4 indexed citations
9.
Ossenkoppele, Gert J., Gerrit Jan Schuurhuis, Arjan van de Loosdrecht, & Jacqueline Cloos. (2019). Can we incorporate MRD assessment into clinical practice in AML?. Best Practice & Research Clinical Haematology. 32(2). 186–191. 18 indexed citations
10.
Itzykson, Raphaël, Pierre Fenaux, David Bowen, et al.. (2018). Diagnosis and Treatment of Chronic Myelomonocytic Leukemias in Adults. HemaSphere. 2(6). e150–e150. 65 indexed citations
11.
Ancker, Willemijn van den, Jurjen M. Ruben, Theresia M. Westers, et al.. (2013). Priming of PRAME- and WT1-specific CD8+T cells in healthy donors but not in AML patients in complete remission. OncoImmunology. 2(4). e23971–e23971. 15 indexed citations
12.
Hellström‐Lindberg, Eva & Arjan van de Loosdrecht. (2013). Erythropoiesis stimulating agents and other growth factors in low-risk MDS. Best Practice & Research Clinical Haematology. 26(4). 401–410. 21 indexed citations
13.
Okuyama, Namiko, Wolfgang R. Sperr, Sietske Bakker, et al.. (2013). Prognosis of acute myeloid leukemia transformed from myelodysplastic syndromes: A multicenter retrospective study. Leukemia Research. 37(8). 862–867. 11 indexed citations
14.
Valent, Peter, Attilio Orazi, Guntram Büsche, et al.. (2010). Standards and Impact of Hematopathology in Myelodysplastic Syndromes (MDS). Oncotarget. 1(7). 483–496. 33 indexed citations
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Loken, Michael R., Arjan van de Loosdrecht, Kíyoyuki Ogata, Alberto Órfão, & Denise A. Wells. (2007). Flow cytometry in myelodysplastic syndromes: Report from a working conference. Leukemia Research. 32(1). 5–17. 72 indexed citations
17.
Valent, Peter, Hans‐Peter Horny, John M. Bennett, et al.. (2007). Definitions and standards in the diagnosis and treatment of the myelodysplastic syndromes: Consensus statements and report from a working conference. Leukemia Research. 31(6). 727–736. 355 indexed citations
18.
Dijkstra, Gerard, André Zandvoort, Anneke C. Muller Kobold, et al.. (2002). Increased Expression of Inducible Nitric Oxide Synthase in Circulating Monocytes from Patients with Active Inflammatory Bowel Disease. Scandinavian Journal of Gastroenterology. 37(5). 546–554. 36 indexed citations
19.
Loosdrecht, Arjan van de. (2000). A homozygous M694V mutation of the MEFV gene in a patient with periodic fever and thoracic pain. The Netherlands Journal of Medicine. 56(1). 21–24. 1 indexed citations
20.
Loosdrecht, Arjan van de. (1998). Clozapine-induced agranulocytosis: a case report Immunopathophysiological considerations. The Netherlands Journal of Medicine. 52(1). 26–29. 2 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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