Nick de Jonge

1.2k total citations
8 papers, 145 citations indexed

About

Nick de Jonge is a scholar working on Oncology, Epidemiology and Hematology. According to data from OpenAlex, Nick de Jonge has authored 8 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Epidemiology and 3 papers in Hematology. Recurrent topics in Nick de Jonge's work include Neutropenia and Cancer Infections (3 papers), Acute Myeloid Leukemia Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Nick de Jonge is often cited by papers focused on Neutropenia and Cancer Infections (3 papers), Acute Myeloid Leukemia Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Nick de Jonge collaborates with scholars based in Netherlands, United States and Sweden. Nick de Jonge's co-authors include Sonja Zweegman, Magnus Björkholm, Xiaolu Zhang, Monique Terwijn, Alexander N. Snel, Angèle Kelder, Linda Smit, Gert J. Ossenkoppele, Michaël H. Meel and Gerrit Jan Schuurhuis and has published in prestigious journals such as PLoS ONE, Clinical Microbiology and Infection and Oncotarget.

In The Last Decade

Nick de Jonge

7 papers receiving 145 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nick de Jonge Netherlands	6	52	46	43	24	23	8	145
Jowita Frączkiewicz Poland	8	60 1.2×	44 1.0×	71 1.7×	60 2.5×	5 0.2×	34	185
Mitsuhiro Yuasa Japan	6	51 1.0×	18 0.4×	38 0.9×	17 0.7×	8 0.3×	27	136
Caitlin W. Elgarten United States	7	91 1.8×	68 1.5×	70 1.6×	31 1.3×	5 0.2×	37	207
Isabel Cano Spain	8	80 1.5×	43 0.9×	45 1.0×	27 1.1×	4 0.2×	21	154
Yuichiro Kurimura Japan	9	20 0.4×	46 1.0×	17 0.4×	80 3.3×	17 0.7×	21	248
Irina A. Tuzankina Russia	8	13 0.3×	61 1.3×	20 0.5×	26 1.1×	10 0.4×	45	196
Milan R. Savani United States	4	42 0.8×	167 3.6×	88 2.0×	22 0.9×	6 0.3×	8	246
Jean Hugues Dalle France	6	108 2.1×	38 0.8×	37 0.9×	58 2.4×	11 0.5×	9	198
Coralie Briand France	6	46 0.9×	29 0.6×	35 0.8×	19 0.8×	2 0.1×	9	163
Suelen Martins Perobelli Brazil	5	42 0.8×	52 1.1×	25 0.6×	24 1.0×	6 0.3×	8	161

Countries citing papers authored by Nick de Jonge

Since Specialization

Citations

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

Fields of papers citing papers by Nick de Jonge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick de Jonge

This figure shows the co-authorship network connecting the top 25 collaborators of Nick de Jonge. A scholar is included among the top collaborators of Nick de Jonge 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 Nick de Jonge. Nick de Jonge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Stemler, Jannik, Roger J. M. Brüggemann, & Nick de Jonge. (2025). Therapeutic Drug Monitoring: A Driver to Precision Medicine for Patients with Hematological Malignancies. Chemotherapy. 70(4). 193–199.

Jonge, Nick de, Jeroen J. W. M. Janssen, Paula F. Ypma, et al.. (2024). Mucositis-associated bloodstream infections in adult haematology patients with fever during neutropenia: risk factors and the impact of mucositis severity. Supportive Care in Cancer. 32(9). 579–579. 2 indexed citations

Wagemakers, Alex, et al.. (2022). The impact of the updated EORTC/MSG criteria on the classification of hematological patients with suspected invasive pulmonary aspergillosis. Clinical Microbiology and Infection. 28(8). 1120–1125. 15 indexed citations

Huynh, Jennifer, Elske Sieswerda, Nick de Jonge, et al.. (2022). Guidance of empirical antimicrobial therapy by surveillance cultures in high-risk neutropenic patients: a retrospective cohort study. Antimicrobial Resistance and Infection Control. 11(1). 160–160. 8 indexed citations

Caris, Martine G., Nick de Jonge, Birgit I. Lissenberg‐Witte, et al.. (2022). Indwelling time of peripherally inserted central catheters and incidence of bloodstream infections in haematology patients: a cohort study. Antimicrobial Resistance and Infection Control. 11(1). 37–37. 8 indexed citations

Jonge, Nick de, Jonne J. Sikkens, Sonja Zweegman, et al.. (2022). Short versus extended treatment with a carbapenem in patients with high-risk fever of unknown origin during neutropenia: a non-inferiority, open-label, multicentre, randomised trial. The Lancet Haematology. 9(8). e563–e572. 20 indexed citations

Zhang, Xiaolu, Bingnan Li, Nick de Jonge, Magnus Björkholm, & Dawei Xu. (2015). The DNA methylation inhibitor induces telomere dysfunction and apoptosis of leukemia cells that is attenuated by telomerase over-expression. Oncotarget. 6(7). 4888–4900. 31 indexed citations

Schuurhuis, Gerrit Jan, Michaël H. Meel, Monique Terwijn, et al.. (2013). Normal Hematopoietic Stem Cells within the AML Bone Marrow Have a Distinct and Higher ALDH Activity Level than Co-Existing Leukemic Stem Cells. PLoS ONE. 8(11). e78897–e78897. 61 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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