Elvin Wagenblast

2.5k total citations · 1 hit paper
21 papers, 923 citations indexed

About

Elvin Wagenblast is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Elvin Wagenblast has authored 21 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Cancer Research. Recurrent topics in Elvin Wagenblast's work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Elvin Wagenblast is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers) and Acute Lymphoblastic Leukemia research (3 papers). Elvin Wagenblast collaborates with scholars based in United States, Canada and United Kingdom. Elvin Wagenblast's co-authors include Gregory J. Hannon, Simon Knott, Sun Y. Kim, Nicolas Erard, Andrew D. Smith, Carol Prives, Eusebio Manchado, Thomas Kitzing, Sean M. Grimmond and Sung‐Hwan Moon and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Elvin Wagenblast

18 papers receiving 913 citations

Hit Papers

Mutant p53 Drives Pancreatic Cancer Metastasis through Ce... 2014 2026 2018 2022 2014 100 200 300

Peers

Elvin Wagenblast
Susann Weissmueller United States
Chun-Ju Chang United States
Victoria da Silva-Diz United States
Anja Deutzmann United States
Mark Miglarese United States
W Zhang United States
Clare M. Adams United States
Tun Kiat Ko Singapore
Susann Weissmueller United States
Elvin Wagenblast
Citations per year, relative to Elvin Wagenblast Elvin Wagenblast (= 1×) peers Susann Weissmueller

Countries citing papers authored by Elvin Wagenblast

Since Specialization
Citations

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

Fields of papers citing papers by Elvin Wagenblast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elvin Wagenblast

This figure shows the co-authorship network connecting the top 25 collaborators of Elvin Wagenblast. A scholar is included among the top collaborators of Elvin Wagenblast 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 Elvin Wagenblast. Elvin Wagenblast 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.
Giotti, Bruno, Elvin Wagenblast, Dolores Hambardzumyan, et al.. (2025). Learning the cellular origins across cancers using single-cell chromatin landscapes. Nature Communications. 16(1). 8301–8301. 3 indexed citations
2.
Skwarska, Anna, Kith Pradhan, Vijaya Shukla, et al.. (2025). Abstract 7201: Targeting SLC38A1 non-conventional glutamine transporter in high risk MDS/AML. Cancer Research. 85(8_Supplement_1). 7201–7201.
3.
Sturgeon, Christopher M., Elvin Wagenblast, Franco Izzo, & Eirini P. Papapetrou. (2024). The Crossroads of Clonal Evolution, Differentiation Hierarchy, and Ontogeny in Leukemia Development. Blood Cancer Discovery. 6(2). 94–109. 1 indexed citations
4.
Quijada‐Álamo, Miguel, et al.. (2024). Chromatin Remodeling By GATA1s Alters Megakaryocytic Gene Expression. Blood. 144(Supplement 1). 3928–3928.
5.
Chao, C., et al.. (2024). Models to study myelodysplastic syndrome and acute myeloid leukaemia. Current Opinion in Hematology. 32(2). 87–92. 1 indexed citations
6.
Baruchel, André, Jean‐Pierre Bourquin, John D. Crispino, et al.. (2023). Down syndrome and leukemia: from basic mechanisms to clinical advances. Haematologica. 108(10). 2570–2581. 16 indexed citations
7.
Boutzen, Héléna, Seyed Ali Madani Tonekaboni, Michelle Chan‐Seng‐Yue, et al.. (2022). A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome. Leukemia. 36(11). 2690–2704. 7 indexed citations
8.
Zeng, Andy G.X., Alexander Murison, Joana Araújo, et al.. (2022). Discovery of a New Human Hematopoietic Stem Cell Involved with Aging That Retains Memory of Immune Activation. Blood. 140(Supplement 1). 2218–2219. 1 indexed citations
9.
Decato, Benjamin E., Jianghan Qu, Xiaojing Ji, et al.. (2020). Characterization of universal features of partially methylated domains across tissues and species. Epigenetics & Chromatin. 13(1). 39–39. 18 indexed citations
10.
Kaufmann, Kerstin B., Florin Schneiter, Véronique Voisin, et al.. (2020). Dichotomous Regulation of Lysosomes By MYC and Tfeb Controls Hematopoietic Stem Cell Fate. Blood. 136(Supplement 1). 34–34. 1 indexed citations
11.
Kaufmann, Kerstin B., Laura García‐Prat, Qiang Liu, et al.. (2019). A stemness screen reveals C3orf54/INKA1 as a promoter of human leukemia stem cell latency. Blood. 133(20). 2198–2211. 18 indexed citations
12.
Wagenblast, Elvin, Maria Azkanaz, Sabrina Smith, et al.. (2019). Functional profiling of single CRISPR/Cas9-edited human long-term hematopoietic stem cells. Nature Communications. 10(1). 4730–4730. 23 indexed citations
13.
Wagenblast, Elvin, Olga I. Gan, Maria Azkanaz, et al.. (2019). Understanding Pre-Leukemia in Trisomy 21 Human HSC and Modeling Progression Towards Down Syndrome Associated Leukemia Using CRISPR/Cas9 at Single Cell Resolution. Blood. 134(Supplement_1). 2531–2531. 1 indexed citations
14.
Sonzogni, Olmo, Jennifer Haynes, Kai Huang, et al.. (2018). Reporters to mark and eliminate basal or luminal epithelial cells in culture and in vivo. PLoS Biology. 16(6). e2004049–e2004049. 16 indexed citations
15.
Galen, Peter van, Nathan Mbong, Antonia Kreso, et al.. (2018). Integrated Stress Response Activity Marks Stem Cells in Normal Hematopoiesis and Leukemia. Cell Reports. 25(5). 1109–1117.e5. 74 indexed citations
16.
Wagenblast, Elvin, Gabriela Krivdova, Olga I. Gan, et al.. (2018). Functional and Molecular Consequences of Trisomy 21 on Human Fetal Hematopoiesis. Blood. 132(Supplement 1). 1317–1317. 1 indexed citations
17.
Krivdova, Gabriela, Véronique Voisin, Alex Murison, et al.. (2018). Microrna-130a Regulates Hematopoietic Stem Cell Self-Renewal By Repressing Chromatin Modifiers and Shaping the Accessible Chromatin Landscape. Blood. 132(Supplement 1). 3824–3824. 1 indexed citations
18.
Wagenblast, Elvin, Christina Hartl, Annika L. Gable, et al.. (2015). A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis. Nature. 520(7547). 358–362. 310 indexed citations
19.
Knott, Simon, Nicolas Erard, Kenneth Chang, et al.. (2014). A Computational Algorithm to Predict shRNA Potency. Molecular Cell. 56(6). 796–807. 69 indexed citations
20.
Weissmueller, Susann, Eusebio Manchado, Michael Saborowski, et al.. (2014). Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling. Cell. 157(2). 382–394. 362 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026