Stephan Hütter

2.5k citations
85 papers · 1.7k · h-index 24

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Genetic diversity and population structure
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Evolution and Genetic Dynamics

Papers in

    • Acute Myeloid Leukemia Research 44
    • Multiple Myeloma Research and Treatments 5
    • Chronic Myeloid Leukemia Treatments 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 17
    • Chronic Lymphocytic Leukemia Research 5
    • Genetic diversity and population structure 4

Stephan Hütter

72 papers receiving 1.6k citations

Peers

Stephan Hütter
Comparison fields: 5 of 86
  • Hematology 567
  • Genetics 277
  • Genetics 478
  • Aging 25
  • Insect Science 146
Replace Nadine T. Nehme with:
Nadine T. Nehme France
Pranvera Ikonomi United States
Oliver Stojković Serbia
Marcus Coyle United States
Philipp Rescheneder Austria
V. Nigon France
Arturo Gullón Spain
Julia M. Rogers United States
Greg A. Taylor Canada
Julia Chifman United States
Stephan Hütter relative to Nadine T. Nehme France Nadine T. Nehme's profile →
Citations per field
00.5×2×4×6.2×
Nadine T. Nehme · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Stephan Hütter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephan Hütter Line = papers co-authored together Stephan Hütter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020129
2 2005111
3 2012105
4 2006101
5 200798
6 200889
7 201270
8 200959
9 200850
10 202350
11 202046
12 201140
13 202039
14 202138
15 202337
16 202136
17 202236
18 200933
19 202032
20 201731

About Stephan Hütter

Stephan Hütter is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Genetics, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (44 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers), Cancer Genomics and Diagnostics (14 papers), Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Vascular Tumors and Angiosarcomas (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Hematology (567 citations), Genetics (277 citations), Genetics (478 citations), Aging (25 citations) and Insect Science (146 citations). Stephan Hütter has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Wolfgang Stephan, John Parsch, Torsten Haferlach, Julio Rozas, Wolfgang Kern, Albert J. Vilella, Claudia Haferlach, Manja Meggendorfer, Constance Regina Baer and Sarah S. Saminadin-Peter. Their work appears in journals such as Leukemia, Blood, Blood Advances, BMC Genomics and Genetics.

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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