Kaat de Jonge

1.7k total citations · 1 hit paper
5 papers, 967 citations indexed

About

Kaat de Jonge is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Kaat de Jonge has authored 5 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Kaat de Jonge's work include Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Kaat de Jonge is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers) and T-cell and B-cell Immunology (2 papers). Kaat de Jonge collaborates with scholars based in Switzerland, South Korea and Belgium. Kaat de Jonge's co-authors include Petra Baumgaertner, Daniel E. Speiser, Julien Racle, David Gfeller, Sina Nassiri, Hélène Maby–El Hajjami, Hajer Ouertatani-Sakouhi, João Lourenço, Laure Tillé and Mauro Delorenzi and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and eLife.

In The Last Decade

Kaat de Jonge

5 papers receiving 963 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

2017 880 citations Julien Racle, Kaat de Jonge et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaat de Jonge Switzerland	5	537	422	386	366	266	5	967
Rongfang Shen China	6	434 0.8×	407 1.0×	286 0.7×	307 0.8×	210 0.8×	9	848
Yilv Yan China	6	471 0.9×	391 0.9×	348 0.9×	254 0.7×	329 1.2×	10	876
Mingjun Zheng China	17	573 1.1×	225 0.5×	196 0.5×	386 1.1×	121 0.5×	46	907
Rindert Missiaen United States	8	432 0.8×	155 0.4×	449 1.2×	265 0.7×	336 1.3×	9	962
Badreddin Edris United States	11	390 0.7×	259 0.6×	318 0.8×	269 0.7×	311 1.2×	17	951
Clémentine Le Magnen Switzerland	15	455 0.8×	438 1.0×	351 0.9×	264 0.7×	120 0.5×	22	939
Alessandra Capodanno Italy	14	323 0.6×	375 0.9×	574 1.5×	179 0.5×	102 0.4×	17	872
Yin He China	9	288 0.5×	235 0.6×	249 0.6×	235 0.6×	131 0.5×	21	593
Marie Lundholm Sweden	14	423 0.8×	272 0.6×	313 0.8×	319 0.9×	442 1.7×	32	1.0k
Anna-Maria Larsson Sweden	14	232 0.4×	135 0.3×	480 1.2×	345 0.9×	226 0.8×	27	859

Countries citing papers authored by Kaat de Jonge

Since Specialization

Citations

This map shows the geographic impact of Kaat 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 Kaat 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 Kaat de Jonge more than expected).

Fields of papers citing papers by Kaat de Jonge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kaat de Jonge. A scholar is included among the top collaborators of Kaat 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 Kaat de Jonge. Kaat 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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5 of 5 papers shown

1.

Harari, Alexandre, Kaat de Jonge, Anne‐Christine Thierry, et al.. (2021). A Personalized Neoantigen Vaccine in Combination with Platinum-Based Chemotherapy Induces a T-Cell Response Coinciding with a Complete Response in Endometrial Carcinoma. Cancers. 13(22). 5801–5801. 6 indexed citations

2.

Jonge, Kaat de, Laure Tillé, João Lourenço, et al.. (2021). Inflammatory B cells correlate with failure to checkpoint blockade in melanoma patients. OncoImmunology. 10(1). 1873585–1873585. 24 indexed citations

3.

Jonge, Kaat de, Sina Nassiri, Hélène Maby–El Hajjami, et al.. (2019). Circulating CD56bright NK cells inversely correlate with survival of melanoma patients. Scientific Reports. 9(1). 4487–4487. 50 indexed citations

4.

Jonge, Kaat de, Yvon Elkrim, Olivier Denis, et al.. (2018). STAT6 Mediates Footpad Immunopathology in the Absence of IL-12p40 Following Infection of Susceptible BALB/c Mice With Leishmania major. Frontiers in Immunology. 9. 503–503. 7 indexed citations

5.

Racle, Julien, Kaat de Jonge, Petra Baumgaertner, Daniel E. Speiser, & David Gfeller. (2017). Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. eLife. 6. 880 indexed citations breakdown →

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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