Anke Vandekeere

835 total citations
10 papers, 153 citations indexed

About

Anke Vandekeere is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Anke Vandekeere has authored 10 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Physiology. Recurrent topics in Anke Vandekeere's work include Cancer, Hypoxia, and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Anke Vandekeere is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Metabolism, Diabetes, and Cancer (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Anke Vandekeere collaborates with scholars based in Belgium, Spain and United States. Anke Vandekeere's co-authors include Sarah‐Maria Fendt, Mélanie Planque, Gianmarco Rinaldi, Thomas G. P. Grünewald, Martin F. Orth, Joke Van Elsen, Dorien Broekaert, Donald Becker, John J. Tanner and Patricia Altea‐Manzano and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Science Advances.

In The Last Decade

Anke Vandekeere

9 papers receiving 153 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anke Vandekeere Belgium	6	95	81	22	18	14	10	153
Johannes Plagge Germany	5	95 1.0×	64 0.8×	7 0.3×	19 1.1×	16 1.1×	6	142
James A. Oo Germany	8	137 1.4×	119 1.5×	12 0.5×	11 0.6×	11 0.8×	12	213
Sara Maimouni United States	5	123 1.3×	83 1.0×	7 0.3×	24 1.3×	27 1.9×	6	197
Mustafa Büyüközkan United States	9	141 1.5×	75 0.9×	12 0.5×	20 1.1×	14 1.0×	14	222
Hai Ping Jiang China	4	139 1.5×	110 1.4×	28 1.3×	7 0.4×	24 1.7×	5	202
Claire Churchhouse United States	6	95 1.0×	32 0.4×	8 0.4×	17 0.9×	12 0.9×	7	184
Lingfeng Tong China	6	145 1.5×	90 1.1×	16 0.7×	23 1.3×	31 2.2×	11	229
Jian Xiao China	5	102 1.1×	31 0.4×	42 1.9×	22 1.2×	11 0.8×	8	156
Juergen Gindlhuber Austria	9	85 0.9×	44 0.5×	17 0.8×	21 1.2×	16 1.1×	16	195
Renaud Vatrinet Italy	5	112 1.2×	79 1.0×	6 0.3×	13 0.7×	11 0.8×	6	166

Countries citing papers authored by Anke Vandekeere

Since Specialization

Citations

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

Fields of papers citing papers by Anke Vandekeere

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anke Vandekeere

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

All Works

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10 of 10 papers shown

Vandekeere, Anke, Sarah‐Maria Fendt, Salvador Aznar Benitah, & Miguel Martín‐Pérez. (2025). SILAC-based assessment of S-palmitoylated proteins in mammalian cells by metabolic labeling and click-chemistry. Methods in cell biology. 200. 211–243.

Urrutia, Andrés A., H. Furkan Alkan, Inés Soro-Arnáiz, et al.. (2024). HIF1α-dependent uncoupling of glycolysis suppresses tumor cell proliferation. Cell Reports. 43(4). 114103–114103. 10 indexed citations

Vandekeere, Anke, et al.. (2024). Metabolic Rewiring During Metastasis: The Interplay Between the Environment and the Host. Lirias (KU Leuven). 8(1). 269–290. 4 indexed citations

Shimobayashi, Mitsugu, Amandine Thomas, Sunil Shetty, et al.. (2023). Diet-induced loss of adipose hexokinase 2 correlates with hyperglycemia. eLife. 12. 11 indexed citations

Wu, Qi, Sigrid Hatse, Cindy Kenis, et al.. (2023). Serum methylmalonic acid concentrations at breast cancer diagnosis significantly correlate with clinical frailty. GeroScience. 46(2). 1489–1498. 5 indexed citations

Pilley, Steven E., Marc Hennequart, Anke Vandekeere, et al.. (2023). Loss of attachment promotes proline accumulation and excretion in cancer cells. Science Advances. 9(36). eadh2023–eadh2023. 9 indexed citations

Liu, Yawen, Anke Vandekeere, Min Xu, Sarah‐Maria Fendt, & Patricia Altea‐Manzano. (2022). Metabolite-derived protein modifications modulating oncogenic signaling. Frontiers in Oncology. 12. 988626–988626. 4 indexed citations

Altea‐Manzano, Patricia, Anke Vandekeere, Joy Edwards-Hicks, et al.. (2022). Reversal of mitochondrial malate dehydrogenase 2 enables anaplerosis via redox rescue in respiration-deficient cells. Molecular Cell. 82(23). 4537–4547.e7. 27 indexed citations

Vandekeere, Anke, et al.. (2020). In crystallo screening for proline analog inhibitors of the proline cycle enzyme PYCR1. Journal of Biological Chemistry. 295(52). 18316–18327. 28 indexed citations

10.

Rinaldi, Gianmarco, Mélanie Planque, Dorien Broekaert, et al.. (2020). mTOR Signaling and SREBP Activity Increase FADS2 Expression and Can Activate Sapienate Biosynthesis. Cell Reports. 31(12). 107806–107806. 55 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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