Jean-Marc Vanacker

1.7k citations
39 papers · 1.4k · h-index 22

Impact in

Papers in

    • Estrogen and related hormone effects 22
    • Retinoids in leukemia and cellular processes 7
    • Genomics and Chromatin Dynamics 4
    • Bone Metabolism and Diseases 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Epigenetics and DNA Methylation 3

Jean-Marc Vanacker

39 papers receiving 1.4k citations

Peers

Jean-Marc Vanacker
Comparison fields: 5 of 100
  • Genetics 604
  • Cancer Research 163
  • Molecular Biology 809
  • Cellular and Molecular Neuroscience 166
  • Oncology 204
Replace Graziella Penot with:
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Ciro Abbondanza Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jean-Marc Vanacker

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Vanacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Marc Vanacker. 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 Jean-Marc Vanacker. The network helps show where Jean-Marc Vanacker may publish in the future.

Co-authors

The 25 scholars most cited alongside Jean-Marc Vanacker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jean-Marc Vanacker Line = papers co-authored together Jean-Marc Vanacker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999117
2 2018115
3 2015115
4
Activation of the osteopontin promoter by the orphan nuclear receptor estrogen receptor related alpha.
1998102
5 200688
6 200983
7 201778
8 200763
9 201153
10 201053
11 201450
12 201041
13 200640
14 201640
15 200939
16 200835
17 201635
18 201532
19 202030
20 201324

About Jean-Marc Vanacker

Jean-Marc Vanacker is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research and Oncology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), Retinoids in leukemia and cellular processes (7 papers), Nuclear Receptors and Signaling (7 papers), Genomics and Chromatin Dynamics (4 papers), Bone Metabolism and Diseases (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Genetics (604 citations), Cancer Research (163 citations), Molecular Biology (809 citations), Cellular and Molecular Neuroscience (166 citations) and Oncology (204 citations). Jean-Marc Vanacker has collaborated with scholars based in France, United States and China. Frequent co-authors include Stéphanie Bianco, Vincent Laudet, Olivia Lanvin, Violaine Tribollet, Julie Carnesecchi, Vincent Cavaillès, Christelle Forcet, Xingqi Guo, Catherine Cerutti and Marlène Gallet. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Scientific Reports, Frontiers in Endocrinology and Proceedings of the National Academy of Sciences.

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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