Stephan Hütter

2.4k total citations
88 papers, 1.4k citations indexed

About

Stephan Hütter is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Stephan Hütter has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Hematology, 29 papers in Genetics and 28 papers in Molecular Biology. Recurrent topics in Stephan Hütter's work include Acute Myeloid Leukemia Research (46 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers) and Cancer Genomics and Diagnostics (19 papers). Stephan Hütter is often cited by papers focused on Acute Myeloid Leukemia Research (46 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers) and Cancer Genomics and Diagnostics (19 papers). Stephan Hütter collaborates with scholars based in Germany, United States and Spain. Stephan Hütter's co-authors include Wolfgang Stephan, John Parsch, Julio Rozas, Albert J. Vilella, Torsten Haferlach, Claudia Haferlach, Manja Meggendorfer, Wolfgang Kern, Sarah S. Saminadin-Peter and Constance Baer and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Stephan Hütter

76 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephan Hütter Germany	21	568	490	393	209	158	88	1.4k
Ana Marisa Chudzinski‐Tavassi Brazil	21	375 0.7×	369 0.8×	51 0.1×	75 0.4×	303 1.9×	82	1.2k
Claudia Isabelle Keller Valsecchi Germany	19	924 1.6×	272 0.6×	230 0.6×	47 0.2×	23 0.1×	30	1.5k
Irina Mohorianu United Kingdom	20	807 1.4×	119 0.2×	94 0.2×	67 0.3×	102 0.6×	59	1.4k
Mehmet Ali Yıldız Türkiye	14	253 0.4×	461 0.9×	38 0.1×	102 0.5×	80 0.5×	33	976
A M Giusti United States	15	882 1.6×	969 2.0×	126 0.3×	74 0.4×	20 0.1×	19	1.7k
Rafael Díaz de la Guardia Spain	16	279 0.5×	305 0.6×	105 0.3×	92 0.4×	57 0.4×	45	701
William G. Nash United States	28	1.1k 1.9×	1.0k 2.1×	108 0.3×	61 0.3×	112 0.7×	43	2.1k
A.M. Chudzinski-Tavassi Brazil	17	293 0.5×	260 0.5×	51 0.1×	25 0.1×	239 1.5×	34	862
I. Balazs United States	24	877 1.5×	761 1.6×	113 0.3×	67 0.3×	17 0.1×	50	1.6k
Peter Rogov United States	14	2.0k 3.6×	870 1.8×	52 0.1×	36 0.2×	97 0.6×	15	2.7k

Countries citing papers authored by Stephan Hütter

Since Specialization

Citations

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

Fields of papers citing papers by Stephan Hütter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Hütter

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

All Works

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20 of 20 papers shown

Krumbholz, Manuela, Anna Dolnik, Eric Sträng, et al.. (2024). A high proportion of germline variants in pediatric chronic myeloid leukemia. Molecular Cancer. 23(1). 206–206. 4 indexed citations

Huber, Sandra, Franziska R. Traube, Marc Seifert, et al.. (2024). Analysis of 3760 hematologic malignancies reveals rare transcriptomic aberrations of driver genes. Genome Medicine. 16(1). 70–70. 1 indexed citations

Ecker, Veronika, Sandra Huber, Wencke Walter, et al.. (2024). Phenotypic and Genetic Heterogeneity of NPM1 Mutated AML at Diagnosis and during Course of Disease. Blood. 144(Supplement 1). 6118–6118.

Stengel, Anna, Torsten Haferlach, Constance Baer, et al.. (2023). Specific subtype distribution with impact on prognosis of TP53 single-hit and double-hit events in AML and MDS. Blood Advances. 7(13). 2952–2956. 16 indexed citations

Baumgartner, Francis, Constance Baer, Stefanos A. Bamopoulos, et al.. (2023). Comparing malignant monocytosis across the updated WHO and ICC classifications of 2022. Blood. 143(12). 1139–1156. 10 indexed citations

Maierhofer, Anna, Nikita Mehta, Ryan A. Chisholm, et al.. (2023). The clinical and genomic landscape of patients with DDX41 variants identified during diagnostic sequencing. Blood Advances. 7(23). 7346–7357. 9 indexed citations

Hütter, Stephan, Carmelo Gurnari, J. M. Sanchez, et al.. (2022). Circulating microbial content in myeloid malignancy patients is associated with disease subtypes and patient outcomes. Nature Communications. 13(1). 1038–1038. 28 indexed citations

Huber, Sandra, Torsten Haferlach, Manja Meggendorfer, et al.. (2022). SF3B1 mutated MDS: Blast count, genetic co-abnormalities and their impact on classification and prognosis. Leukemia. 36(12). 2894–2902. 18 indexed citations

Hoermann, Gregor, Manja Meggendorfer, Constance Baer, et al.. (2021). Whole Genome Sequencing Identifies Non-KIT Mutations and Cytogenetic Aberrations in Systemic Mastocytosis but Has Limited Sensitivity for Detection of KIT D816V. Blood. 138(Supplement 1). 1495–1495.

10.

Haferlach, Claudia, Wencke Walter, Manja Meggendorfer, et al.. (2021). Benchmarking of Whole Genome Sequencing (WGS) and Whole Transcriptome Sequencing (WTS) As Diagnostic Tools for the Genetic Characterization of Acute Myeloid Leukemia (AML) and Acute Lymphoblastic Leukemia (ALL) in Adults. Blood. 138(Supplement 1). 273–273. 2 indexed citations

11.

Wojtuszkiewicz, Anna, Inge van der Werf, Stephan Hütter, et al.. (2021). Maturation State-Specific Alternative Splicing in FLT3-ITD and NPM1 Mutated AML. Cancers. 13(16). 3929–3929. 4 indexed citations

12.

Kongkiatkamon, Sunisa, Simona Pagliuca, Vera Ademà, et al.. (2021). Molecular characterization of the histone acetyltransferase CREBBP/EP300 genes in myeloid neoplasia. Leukemia. 36(4). 1185–1188. 3 indexed citations

13.

Werf, Inge van der, Anna Wojtuszkiewicz, Huilan Yao, et al.. (2021). SF3B1 as therapeutic target in FLT3/ITD positive acute myeloid leukemia. Leukemia. 35(9). 2698–2702. 8 indexed citations

14.

Werf, Inge van der, Anna Wojtuszkiewicz, Manja Meggendorfer, et al.. (2021). Splicing factor gene mutations in acute myeloid leukemia offer additive value if incorporated in current risk classification. Blood Advances. 5(17). 3254–3265. 23 indexed citations

15.

Huang, Yimin, Janet Wang, Jesús María Hernández-Sánchez, et al.. (2020). Characterization of the Blood and Bone Marrow Microbiome of MDS Patients and Associations with Clinical Features. Blood. 136(Supplement 1). 34–35. 1 indexed citations

16.

Hershberger, Courtney E., Vera Ademà, Cassandra M Kerr, et al.. (2020). Complex landscape of alternative splicing in myeloid neoplasms. Leukemia. 35(4). 1108–1120. 37 indexed citations

17.

Radakovich, Nathan, Luca Malcovati, Manja Meggendorfer, et al.. (2020). Genotype-Phenotype Correlations in Patients with Myeloid Malignancies Using Explainable Artificial Intelligence. Blood. 136(Supplement 1). 31–32. 2 indexed citations

18.

Shreve, Jacob, Manja Meggendorfer, Hassan Awada, et al.. (2019). A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML) Using Artificial Intelligence. Blood. 134(Supplement_1). 2091–2091. 15 indexed citations

19.

Baer, Constance, Wencke Walter, Stephan Hütter, et al.. (2019). “Somatic” and “pathogenic” - is the classification strategy applicable in times of large-scale sequencing?. Haematologica. 104(8). 1515–1520. 8 indexed citations

20.

Schorer, Jörg, Stephen Cobley, Florian Loffing, et al.. (2015). Developmental contexts, depth of competition and relative age effects in sport: A database analysis and a quasi- experiment. Carl von Ossiezky University of Oldenburg. 57(1). 126–143. 15 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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