Marius Bill

1.4k total citations
34 papers, 595 citations indexed

About

Marius Bill is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Marius Bill has authored 34 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 16 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Marius Bill's work include Acute Myeloid Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Acute Lymphoblastic Leukemia research (6 papers). Marius Bill is often cited by papers focused on Acute Myeloid Leukemia Research (24 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Acute Lymphoblastic Leukemia research (6 papers). Marius Bill collaborates with scholars based in Germany, United States and Italy. Marius Bill's co-authors include Sebastian Schwind, Dietger Niederwieser, Madlen Jentzsch, Juliane Grimm, Julia Schulz, Gerhard Behre, Clara D. Bloomfield, Dimitrios Papaioannou, Krzysztof Mrózek and Vladan Vučinić and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Marius Bill

30 papers receiving 586 citations

Peers

Marius Bill
Jasper Koenders Netherlands
Marius Bill
Citations per year, relative to Marius Bill Marius Bill (= 1×) peers Jasper Koenders

Countries citing papers authored by Marius Bill

Since Specialization
Citations

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

Fields of papers citing papers by Marius Bill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Bill

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Bill. A scholar is included among the top collaborators of Marius Bill 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 Marius Bill. Marius Bill 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.
Traikov, Sofia, Michael Schroeder, Alexander Krüger, et al.. (2025). A quiescence-like/TGF-β1-specific CRISPRi screen reveals drug uptake transporters as secondary targets of kinase inhibitors in AML. Drug Resistance Updates. 81. 101242–101242.
2.
Ding, Li, Frank Buchholz, Claudia R. Ball, et al.. (2025). The histone modifier KAT2A presents a selective target in a subset of well-differentiated microsatellite-stable colorectal cancers. Cell Death and Differentiation. 32(7). 1259–1272.
3.
Sockel, Katja, Katharina S. Götze, Christina Ganster, et al.. (2024). VEXAS syndrome: complete molecular remission after hypomethylating therapy. Annals of Hematology. 103(3). 993–997. 18 indexed citations
4.
Schwind, Sebastian, Marius Bill, Juliane Grimm, et al.. (2024). Quantifying NPM1 MRD in AML patients prior to allogeneic stem cell transplantation: Where to draw the line?. HemaSphere. 8(3). e55–e55. 2 indexed citations
5.
Bill, Marius, Madlen Jentzsch, Jessica Kohlschmidt, et al.. (2022). Impact ofIDH1andIDH2mutation detection at diagnosis and in remission in patients with AML receiving allogeneic transplantation. Blood Advances. 7(3). 436–444. 22 indexed citations
6.
Jentzsch, Madlen, Marius Bill, Juliane Grimm, et al.. (2020). Allogeneic stem cell transplantation mitigates the adverse prognostic impact of high diagnostic BAALC and MN1 expression in AML. Annals of Hematology. 99(10). 2417–2427.
7.
Jentzsch, Madlen, Juliane Grimm, Marius Bill, et al.. (2020). ELN risk stratification and outcomes in secondary and therapy-related AML patients consolidated with allogeneic stem cell transplantation. Bone Marrow Transplantation. 56(4). 936–945. 20 indexed citations
8.
Bill, Marius, Malith Karunasiri, Changxian Shen, et al.. (2019). EGFL7 Antagonizes NOTCH Signaling and Represents a Novel Therapeutic Target in Acute Myeloid Leukemia. Clinical Cancer Research. 26(3). 669–678. 20 indexed citations
9.
Bill, Marius, Deedra Nicolet, Jessica Kohlschmidt, et al.. (2019). Mutations associated with a 17-gene leukemia stem cell score and the score’s prognostic relevance in the context of the European LeukemiaNet classification of acute myeloid leukemia. Haematologica. 105(3). 721–729. 13 indexed citations
10.
Bill, Marius, Dimitrios Papaioannou, Malith Karunasiri, et al.. (2019). Expression and functional relevance of long non-coding RNAs in acute myeloid leukemia stem cells. Leukemia. 33(9). 2169–2182. 56 indexed citations
11.
Lovat, Francesca, Matteo Fassan, Diana Sacchi, et al.. (2018). Knockout of both miR-15/16 loci induces acute myeloid leukemia. Proceedings of the National Academy of Sciences. 115(51). 13069–13074. 33 indexed citations
12.
Bill, Marius, Dario Veneziano, Jessica Kohlschmidt, et al.. (2018). Prognostic and Biologic Significance of Transfer RNA-Derived Small RNAs (tsRNAs) Expression in Younger Adult Patients (Pts) with Cytogenetically Normal Acute Myeloid Leukemia (CN-AML). Blood. 132(Supplement 1). 89–89. 2 indexed citations
13.
Bräuer-Hartmann, Daniela, Alexander Arthur Wurm, Dennis Gerloff, et al.. (2018). MicroRNA-143 targets ERK5 in granulopoiesis and predicts outcome of patients with acute myeloid leukemia. Cell Death and Disease. 9(8). 814–814. 25 indexed citations
14.
Bill, Marius, Juliane Grimm, Madlen Jentzsch, et al.. (2018). Digital droplet PCR-based absolute quantification of pre-transplant NPM1 mutation burden predicts relapse in acute myeloid leukemia patients. Annals of Hematology. 97(10). 1757–1765. 55 indexed citations
15.
Grimm, Juliane, Marius Bill, Madlen Jentzsch, et al.. (2018). Clinical impact of clonal hematopoiesis in acute myeloid leukemia patients receiving allogeneic transplantation. Bone Marrow Transplantation. 54(8). 1189–1197. 35 indexed citations
17.
Grimm, Juliane, Madlen Jentzsch, Marius Bill, et al.. (2017). In AML RAS pathway Mutations Confer Worse Outcome in IDH1 and IDH2 Mutated AML Patients Receiving Hematopoietic Stem Cell Transplantation. Blood. 130. 2037–2037. 1 indexed citations
18.
Wurm, Alexander Arthur, Dennis Gerloff, Daniela Bräuer-Hartmann, et al.. (2017). Disruption of the C/EBPα—miR-182 balance impairs granulocytic differentiation. Nature Communications. 8(1). 46–46. 32 indexed citations
19.
Heyn, Simone, Cornelia Becker, Christian Pfrepper, et al.. (2017). Successful treatment of patients with newly diagnosed/untreated light chain multiple myeloma with a combination of bendamustine, prednisone and bortezomib (BPV). Journal of Cancer Research and Clinical Oncology. 143(10). 2049–2058. 4 indexed citations
20.
Bill, Marius, Madlen Jentzsch, Juliane Grimm, et al.. (2017). Prognostic impact of the European LeukemiaNet standardized reporting system in older AML patients receiving stem cell transplantation after non-myeloablative conditioning. Bone Marrow Transplantation. 52(6). 932–935. 11 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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