Jennifer Jaques

500 total citations
8 papers, 361 citations indexed

About

Jennifer Jaques is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Jennifer Jaques has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Epidemiology. Recurrent topics in Jennifer Jaques's work include Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Autophagy in Disease and Therapy (2 papers). Jennifer Jaques is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers) and Autophagy in Disease and Therapy (2 papers). Jennifer Jaques collaborates with scholars based in Netherlands, United Kingdom and Germany. Jennifer Jaques's co-authors include Jan Jacob Schuringa, Edo Vellenga, Annet Z. Brouwers-Vos, Albertus T.J. Wierenga, Hendrik Folkerts, André B. Mulder, Vincent van den Boom, Joost H.A. Martens, Paul J. Coffer and Aida Rodríguez López and has published in prestigious journals such as Blood, PLoS ONE and Cancer Cell.

In The Last Decade

Jennifer Jaques

8 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Jaques Netherlands	7	290	149	77	76	41	8	361
Héléna Boutzen France	8	234 0.8×	165 1.1×	39 0.5×	65 0.9×	61 1.5×	11	329
Sonali Narang United States	6	255 0.9×	134 0.9×	50 0.6×	22 0.3×	32 0.8×	9	326
Angelica Benavides United States	5	297 1.0×	95 0.6×	35 0.5×	99 1.3×	38 0.9×	5	369
Nathaniel P. Delos Santos United States	7	457 1.6×	107 0.7×	132 1.7×	23 0.3×	47 1.1×	15	513
Mohammad Alzrigat Sweden	9	260 0.9×	122 0.8×	60 0.8×	18 0.2×	42 1.0×	15	317
Tracey Perry United Kingdom	7	195 0.7×	113 0.8×	103 1.3×	23 0.3×	74 1.8×	10	360
Višnja Radulović Sweden	5	261 0.9×	92 0.6×	35 0.5×	19 0.3×	44 1.1×	9	336
Haiming Xu United States	9	523 1.8×	248 1.7×	45 0.6×	20 0.3×	46 1.1×	19	604
Alejandro Roisman Argentina	8	191 0.7×	88 0.6×	48 0.6×	16 0.2×	56 1.4×	12	278
Matthew D. Witkin United States	6	286 1.0×	109 0.7×	43 0.6×	13 0.2×	47 1.1×	8	365

Countries citing papers authored by Jennifer Jaques

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Jaques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Jaques

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Jaques. A scholar is included among the top collaborators of Jennifer Jaques 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 Jennifer Jaques. Jennifer Jaques 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

López, Aida Rodríguez, Jennifer Jaques, Marcel P. de Vries, et al.. (2021). The USP7-TRIM27 axis mediates non-canonical PRC1.1 function and is a druggable target in leukemia. iScience. 24(5). 102435–102435. 27 indexed citations

Folkerts, Hendrik, Albertus T.J. Wierenga, Roy R. Woldhuis, et al.. (2019). Elevated VMP1 expression in acute myeloid leukemia amplifies autophagy and is protective against venetoclax-induced apoptosis. Cell Death and Disease. 10(6). 421–421. 29 indexed citations

Boer, Bauke de, Maurien Pruis, Peter Keane, et al.. (2018). Prospective Isolation and Characterization of Genetically and Functionally Distinct AML Subclones. Cancer Cell. 34(4). 674–689.e8. 59 indexed citations

Folkerts, Hendrik, Albertus T.J. Wierenga, Jennifer Jaques, et al.. (2017). Inhibition of autophagy as a treatment strategy for p53 wild-type acute myeloid leukemia. Cell Death and Disease. 8(7). e2927–e2927. 73 indexed citations

Koczula, Katarzyna M., Jennifer Jaques, Albertus T.J. Wierenga, et al.. (2016). Hypoxia-Like Signatures Induced by BCR-ABL Potentially Alter the Glutamine Uptake for Maintaining Oxidative Phosphorylation. PLoS ONE. 11(4). e0153226–e0153226. 16 indexed citations

Boom, Vincent van den, Marjan Geugien, Aida Rodríguez López, et al.. (2015). Non-canonical PRC1.1 Targets Active Genes Independent of H3K27me3 and Is Essential for Leukemogenesis. Cell Reports. 14(2). 332–346. 108 indexed citations

Schepers, Hein, Jennifer Jaques, Annet Z. Brouwers-Vos, et al.. (2014). The TAK1-NF-κB axis as therapeutic target for AML. Blood. 124(20). 3130–3140. 48 indexed citations

Groen, Richard W.J., Jennifer Jaques, Huipin Yuan, et al.. (2013). Mouse Versus Human Extrinsic Cues Dictate Transformation Potential In BCR-ABL/BMI1-Induced Leukemia In Humanized Xenograft Models. Blood. 122(21). 515–515. 1 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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