Fleur Jochems

1.6k total citations
9 papers, 466 citations indexed

About

Fleur Jochems is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Fleur Jochems has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 2 papers in Oncology. Recurrent topics in Fleur Jochems's work include Telomeres, Telomerase, and Senescence (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and CRISPR and Genetic Engineering (2 papers). Fleur Jochems is often cited by papers focused on Telomeres, Telomerase, and Senescence (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and CRISPR and Genetic Engineering (2 papers). Fleur Jochems collaborates with scholars based in Netherlands, China and United States. Fleur Jochems's co-authors include René Bernards, Roderick L. Beijersbergen, Cun Wang, Cor Lieftink, Rodrigo Leite de Oliveira, Liqin Wang, Haojie Jin, Bastiaan Evers, Ben Morris and Lisa Willemsen and has published in prestigious journals such as PLoS ONE, Cell Death and Differentiation and Cell Reports.

In The Last Decade

Fleur Jochems

9 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fleur Jochems Netherlands	6	289	196	135	99	82	9	466
Qin Zhao China	11	295 1.0×	104 0.5×	104 0.8×	48 0.5×	74 0.9×	27	487
Amber N. Habowski United States	7	216 0.7×	60 0.3×	126 0.9×	48 0.5×	75 0.9×	11	366
Mingrui Zhu China	10	322 1.1×	41 0.2×	98 0.7×	141 1.4×	149 1.8×	13	510
Qingang Wu China	8	351 1.2×	32 0.2×	227 1.7×	120 1.2×	113 1.4×	10	567
Yan Mo China	8	341 1.2×	51 0.3×	197 1.5×	70 0.7×	168 2.0×	12	583
Christoph Wohlkoenig Austria	7	281 1.0×	32 0.2×	189 1.4×	44 0.4×	80 1.0×	9	413
Julia Ling-Yu Chen United States	4	398 1.4×	44 0.2×	317 2.3×	37 0.4×	71 0.9×	4	537
Emily Montal United States	10	352 1.2×	40 0.2×	252 1.9×	39 0.4×	60 0.7×	14	476
Xiaolei Shi United States	6	412 1.4×	51 0.3×	272 2.0×	49 0.5×	72 0.9×	8	549

Countries citing papers authored by Fleur Jochems

Since Specialization

Citations

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

Fields of papers citing papers by Fleur Jochems

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fleur Jochems. 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 Fleur Jochems. The network helps show where Fleur Jochems may publish in the future.

Co-authorship network of co-authors of Fleur Jochems

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

All Works

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9 of 9 papers shown

Macdonald, J., Gary A. Bradshaw, Fleur Jochems, René Bernards, & Anthony Letai. (2025). Apoptotic priming in senescence predicts specific senolysis by quantitative analysis of mitochondrial dependencies. Cell Death and Differentiation. 32(5). 802–817. 4 indexed citations

Jochems, Fleur, J. Macdonald, Veerle W. Daniëls, et al.. (2024). Senolysis by ABT-263 is associated with inherent apoptotic dependence of cancer cells derived from the non-senescent state. Cell Death and Differentiation. 32(5). 855–865. 5 indexed citations

Pogacar, Ziva, Jackie Johnson, Lenno Krenning, et al.. (2022). Indisulam synergizes with palbociclib to induce senescence through inhibition of CDK2 kinase activity. PLoS ONE. 17(9). e0273182–e0273182. 12 indexed citations

Pogacar, Ziva, Fleur Jochems, Antonio Mulero‐Sánchez, et al.. (2022). Genetic and compound screens uncover factors modulating cancer cell response to indisulam. Life Science Alliance. 5(9). e202101348–e202101348. 8 indexed citations

Schepers, Arnout, Fleur Jochems, Cor Lieftink, et al.. (2021). Identification of Autophagy-Related Genes as Targets for Senescence Induction Using a Customizable CRISPR-Based Suicide Switch Screen. Molecular Cancer Research. 19(10). 1613–1621. 5 indexed citations

Jochems, Fleur, Bram Thijssen, Giulia De Conti, et al.. (2021). The Cancer SENESCopedia: A delineation of cancer cell senescence. Cell Reports. 36(4). 109441–109441. 122 indexed citations

Jochems, Fleur, Bram Thijssen, Giulia De Conti, et al.. (2021). The Cancer Senescopedia – Delineation of Cancer Cell Senescence. SSRN Electronic Journal. 10 indexed citations

Jin, Haojie, Siying Wang, Esther A. Zaal, et al.. (2020). A powerful drug combination strategy targeting glutamine addiction for the treatment of human liver cancer. eLife. 9. 137 indexed citations

Wang, Liqin, Rodrigo Leite de Oliveira, Cun Wang, et al.. (2017). High-Throughput Functional Genetic and Compound Screens Identify Targets for Senescence Induction in Cancer. Cell Reports. 21(3). 773–783. 163 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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