Gabriele Greve

775 total citations
19 papers, 467 citations indexed

About

Gabriele Greve is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Gabriele Greve has authored 19 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Hematology and 4 papers in Oncology. Recurrent topics in Gabriele Greve's work include Acute Myeloid Leukemia Research (10 papers), Histone Deacetylase Inhibitors Research (10 papers) and Epigenetics and DNA Methylation (8 papers). Gabriele Greve is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Histone Deacetylase Inhibitors Research (10 papers) and Epigenetics and DNA Methylation (8 papers). Gabriele Greve collaborates with scholars based in Germany, United States and Switzerland. Gabriele Greve's co-authors include Michael Lübbert, John Charles Rotondo, Insa Schiffmann, Dietmar Pfeifer, Manfred Jung, Nadja Blagitko‐Dorfs, Milena Pantić, Julia Schüler, Christoph Plass and Annika Baude and has published in prestigious journals such as PLoS ONE, International Journal of Cancer and European Journal of Medicinal Chemistry.

In The Last Decade

Gabriele Greve

17 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Greve Germany 10 368 148 92 70 46 19 467
Anuradha Illendula United States 10 317 0.9× 191 1.3× 87 0.9× 44 0.6× 51 1.1× 19 435
Pravina Fernandez United States 4 514 1.4× 103 0.7× 79 0.9× 43 0.6× 52 1.1× 11 572
Jeannette Gogel Germany 7 371 1.0× 109 0.7× 149 1.6× 46 0.7× 29 0.6× 8 471
Siddhartha Sen United States 11 284 0.8× 93 0.6× 106 1.2× 43 0.6× 90 2.0× 15 410
Marcelo J. Murai United States 9 596 1.6× 224 1.5× 91 1.0× 48 0.7× 32 0.7× 17 769
Jeffrey Strovel United States 11 264 0.7× 97 0.7× 61 0.7× 28 0.4× 20 0.4× 24 340
Abdellatif Amri Canada 5 566 1.5× 85 0.6× 89 1.0× 42 0.6× 55 1.2× 7 638
Ana Rio‐Machín United Kingdom 11 298 0.8× 150 1.0× 43 0.5× 76 1.1× 32 0.7× 21 471
Colin A. Martz United States 4 208 0.6× 104 0.7× 83 0.9× 46 0.7× 20 0.4× 5 294
Eugenia Lorenzini Italy 5 584 1.6× 125 0.8× 129 1.4× 53 0.8× 27 0.6× 8 652

Countries citing papers authored by Gabriele Greve

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Greve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Greve

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

All Works

19 of 19 papers shown
1.
2.
Duque‐Afonso, Jesús, Jan Mitschke, Gabriele Greve, et al.. (2024). Identification of epigenetic modifiers essential for growth and survival of AML1/ETO‐positive leukemia. International Journal of Cancer. 155(11). 2068–2079.
3.
Greve, Gabriele, Miguel Waterhouse, Robert Zeiser, et al.. (2023). Functional Characterization of Transforming Growth Factor-β Signaling in Dasatinib Resistance and Pre-BCR+ Acute Lymphoblastic Leukemia. Cancers. 15(17). 4328–4328. 1 indexed citations
4.
Greve, Gabriele, Geoffroy Andrieux, Pascal Schlosser, et al.. (2023). In vivo kinetics of early, non-random methylome and transcriptome changes induced by DNA-hypomethylating treatment in primary AML blasts. Leukemia. 37(5). 1018–1027. 2 indexed citations
5.
Greve, Gabriele, Lars Feuerbach, Daniel B. Lipka, et al.. (2022). The antileukemic activity of decitabine upon PML/RARA-negative AML blasts is supported by all-trans retinoic acid: in vitro and in vivo evidence for cooperation. Blood Cancer Journal. 12(8). 122–122. 8 indexed citations
6.
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Pfeifer, Dietmar, Gabriele Ihorst, Nadja Blagitko‐Dorfs, et al.. (2021). Integrative study of EZH2 mutational status, copy number, protein expression and H3K27 trimethylation in AML/MDS patients. Clinical Epigenetics. 13(1). 77–77. 18 indexed citations
8.
Onishi‐Seebacher, Megumi, Galina Erikson, Daniel Ryan, et al.. (2021). Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia. BMC Medical Genomics. 14(1). 166–166. 13 indexed citations
9.
Greve, Gabriele, Dominica Willmann, Michael Müller, et al.. (2020). Nitroreductase‐Mediated Release of Inhibitors of Lysine‐Specific Demethylase 1 (LSD1) from Prodrugs in Transfected Acute Myeloid Leukaemia Cells. ChemBioChem. 21(16). 2329–2347. 17 indexed citations
10.
11.
Becker, Heiko, Gabriele Greve, Keisuke Kataoka, et al.. (2019). Identification of enhancer of mRNA decapping 4 as a novel fusion partner of MLL in acute myeloid leukemia. Blood Advances. 3(5). 761–765. 2 indexed citations
12.
Blagitko‐Dorfs, Nadja, Pascal Schlosser, Gabriele Greve, et al.. (2018). Combination treatment of acute myeloid leukemia cells with DNMT and HDAC inhibitors: predominant synergistic gene downregulation associated with gene body demethylation. Leukemia. 33(4). 945–956. 79 indexed citations
13.
Robaa, Dina, Dominica Willmann, Julian Haas, et al.. (2017). Structure-activity studies on N -Substituted tranylcypromine derivatives lead to selective inhibitors of lysine specific demethylase 1 (LSD1) and potent inducers of leukemic cell differentiation. European Journal of Medicinal Chemistry. 144. 52–67. 29 indexed citations
14.
Blum, Sabine, Gabriele Greve, & Michael Lübbert. (2017). Innovative strategies for adverse karyotype acute myeloid leukemia. Current Opinion in Hematology. 24(2). 89–98. 1 indexed citations
15.
Schiffmann, Insa, Gabriele Greve, Manfred Jung, & Michael Lübbert. (2016). Epigenetic therapy approaches in non-small cell lung cancer: Update and perspectives. Epigenetics. 11(12). 858–870. 56 indexed citations
16.
Greve, Gabriele, Insa Schiffmann, Dietmar Pfeifer, et al.. (2015). The pan-HDAC inhibitor panobinostat acts as a sensitizer for erlotinib activity in EGFR-mutated and -wildtype non-small cell lung cancer cells. BMC Cancer. 15(1). 947–947. 59 indexed citations
17.
Greve, Gabriele, Insa Schiffmann, & Michael Lübbert. (2015). Epigenetic priming of non-small cell lung cancer cell lines to the antiproliferative and differentiating effects of all-trans retinoic acid. Journal of Cancer Research and Clinical Oncology. 141(12). 2171–2180. 16 indexed citations
18.
Blagitko‐Dorfs, Nadja, Yi Jiang, Jesús Duque‐Afonso, et al.. (2013). Epigenetic Priming of AML Blasts for All-trans Retinoic Acid-Induced Differentiation by the HDAC Class-I Selective Inhibitor Entinostat. PLoS ONE. 8(10). e75258–e75258. 21 indexed citations
19.
Greve, Gabriele, et al.. (2011). Y-Chromosome Variation in Hominids: Intraspecific Variation Is Limited to the Polygamous Chimpanzee. PLoS ONE. 6(12). e29311–e29311. 6 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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