Tino Schenk

1.7k total citations · 1 hit paper
24 papers, 1.0k citations indexed

About

Tino Schenk is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tino Schenk has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Hematology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tino Schenk's work include Acute Myeloid Leukemia Research (13 papers), Histone Deacetylase Inhibitors Research (8 papers) and Epigenetics and DNA Methylation (6 papers). Tino Schenk is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Histone Deacetylase Inhibitors Research (8 papers) and Epigenetics and DNA Methylation (6 papers). Tino Schenk collaborates with scholars based in Germany, United Kingdom and United States. Tino Schenk's co-authors include Arthur Zelent, Sven Stengel, Kevin Petrie, Robert A. Casero, Andreea C. Popescu, Katja Hebestreit, Liqing Jin, Louise Howell, Mark D. Minden and Carsten Müller‐Tidow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Tino Schenk

20 papers receiving 1.0k citations

Hit Papers

Inhibition of the LSD1 (KDM1A) demethylase reactivates th... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tino Schenk Germany 11 852 224 143 118 87 24 1.0k
Josephine A. Carew United States 16 626 0.7× 237 1.1× 245 1.7× 132 1.1× 65 0.7× 32 1.1k
Angelika Rosenauer Canada 11 654 0.8× 219 1.0× 135 0.9× 57 0.5× 108 1.2× 12 786
Nathan West United States 10 1.2k 1.4× 209 0.9× 60 0.4× 398 3.4× 33 0.4× 10 1.5k
Hiromi Fukamachi Japan 21 425 0.5× 215 1.0× 582 4.1× 148 1.3× 65 0.7× 41 1.3k
Michelle Wong United States 10 674 0.8× 36 0.2× 124 0.9× 181 1.5× 50 0.6× 18 973
Kálman G. Büki United States 20 714 0.8× 65 0.3× 211 1.5× 559 4.7× 82 0.9× 44 1.1k
Joshua Veatch United States 9 587 0.7× 27 0.1× 191 1.3× 319 2.7× 48 0.6× 20 956
Ailsa J. Frew Australia 7 1.0k 1.2× 47 0.2× 305 2.1× 305 2.6× 67 0.8× 7 1.3k
Sadeq Vallian Iran 15 651 0.8× 146 0.7× 133 0.9× 124 1.1× 151 1.7× 66 905
Roberto Dal Zuffo Italy 11 636 0.7× 69 0.3× 60 0.4× 105 0.9× 43 0.5× 13 770

Countries citing papers authored by Tino Schenk

Since Specialization
Citations

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

Fields of papers citing papers by Tino Schenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tino Schenk

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

All Works

20 of 20 papers shown
1.
Palusińska, Małgorzata, et al.. (2026). Cell Lines in Myelodysplastic Syndromes/Neoplasms (MDS) Research: A Review of Existing Models and Their Applications. International Journal of Molecular Sciences. 27(2). 898–898.
2.
Palusińska, Małgorzata, et al.. (2025). The Next Generation of Skin Care: Transforming Retinoid Therapeutics. Cells. 14(21). 1650–1650.
3.
Palusińska, Małgorzata, Yordan Sbirkov, Sven Stengel, et al.. (2025). Synergistic potential of CDK4/6 inhibitors and ATRA in non‐APL AML. British Journal of Haematology. 207(4). 1279–1288. 1 indexed citations
4.
Ren, Sijia, Feng Bai, Tino Schenk, et al.. (2024). PAPAS promotes differentiation of mammary epithelial cells and suppresses breast carcinogenesis. Cell Reports. 43(1). 113644–113644. 4 indexed citations
6.
Palusińska, Małgorzata, et al.. (2023). Choosing the Right Cell Line for Acute Myeloid Leukemia (AML) Research. International Journal of Molecular Sciences. 24(6). 5377–5377. 34 indexed citations
7.
Sbirkov, Yordan, Tino Schenk, Colin Kwok, et al.. (2023). Dual inhibition of EZH2 and G9A/GLP histone methyltransferases by HKMTI-1-005 promotes differentiation of acute myeloid leukemia cells. Frontiers in Cell and Developmental Biology. 11. 1076458–1076458. 9 indexed citations
8.
Sbirkov, Yordan, et al.. (2023). Targeting Glutaminolysis Shows Efficacy in Both Prednisolone-Sensitive and in Metabolically Rewired Prednisolone-Resistant B-Cell Childhood Acute Lymphoblastic Leukaemia Cells. International Journal of Molecular Sciences. 24(4). 3378–3378. 3 indexed citations
9.
Stengel, Sven, Kevin Petrie, Yordan Sbirkov, et al.. (2022). Suppression of MYC by PI3K/AKT/mTOR pathway inhibition in combination with all‐trans retinoic acid treatment for therapeutic gain in acute myeloid leukaemia. British Journal of Haematology. 198(2). 338–348. 17 indexed citations
11.
Szymański, Łukasz, Małgorzata Palusińska, Tino Schenk, et al.. (2020). Retinoic Acid and Its Derivatives in Skin. Cells. 9(12). 2660–2660. 132 indexed citations
12.
Brioli, Annamaria, Martin Bens, Florian Perner, et al.. (2019). The acetyltransferase GCN5 maintains ATRA-resistance in non-APL AML. Leukemia. 33(11). 2628–2639. 29 indexed citations
13.
Schenk, Tino, et al.. (2017). High-intensity UV laser ChIP-seq for the study of protein-DNA interactions in living cells. Nature Communications. 8(1). 1303–1303. 27 indexed citations
15.
Schenk, Tino, Sven Stengel, & Arthur Zelent. (2014). Unlocking the potential of retinoic acid in anticancer therapy. British Journal of Cancer. 111(11). 2039–2045. 125 indexed citations
16.
Schenk, Tino, Weihsu Claire Chen, Stefanie Göllner, et al.. (2012). Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia. Nature Medicine. 18(4). 605–611. 502 indexed citations breakdown →
17.
Alvares, Caroline, Tino Schenk, Toon Min, et al.. (2011). Tyrosine kinase inhibitor insensitivity of non‐cycling CD34+ human acute myeloid leukaemia cells with FMS‐like tyrosine kinase 3 mutations. British Journal of Haematology. 154(4). 457–465. 6 indexed citations
18.
Schenk, Tino & Werner Scheithauer. (2008). Fortschritte in der Prävention und Therapie häufiger chemotherapie-induzierter Nebenwirkungen. DMW - Deutsche Medizinische Wochenschrift. 118(22). 831–837. 1 indexed citations
19.
Schenk, Tino, Sven Stengel, Stefanie Goellner, Daniel Steinbach, & Hans Peter Saluz. (2007). Hypomethylation of PRAME is responsible for its aberrant overexpression in human malignancies. Genes Chromosomes and Cancer. 46(9). 796–804. 55 indexed citations
20.
Goellner, Stefanie, Daniel Steinbach, Tino Schenk, et al.. (2006). Childhood acute myelogenous leukaemia: Association between PRAME, apoptosis- and MDR-related gene expression. European Journal of Cancer. 42(16). 2807–2814. 17 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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