Sonja Hänzelmann
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Pulmonary and Respiratory Medicine top 0.5%
- Ferroptosis and cancer prognosis
Papers in
-
- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 1
-
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Robert Castelo (3 shared papers)Justin Guinney (1 shared paper)Ivan G. Costa (6 shared papers)Chao‐Chung Kuo (2 shared papers)Ingrid Grummt (1 shared paper)Stefan L. Frank (1 shared paper)Gaurav Ahuja (1 shared paper)Vijay Suresh Akhade (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Clinical Epigenetics (1 paper)Journal of Hypertension (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Sonja Hänzelmann
17 papers receiving 9.1k citations
Sonja Hänzelmann's Hit Papers
Peers
Comparison fields: 5 of 122
- Cancer Research 3.2k
- Pulmonary and Respiratory Medicine 3.6k
- Immunology 2.3k
- Oncology 2.5k
- Molecular Biology 5.2k
Countries citing papers authored by Sonja Hänzelmann
This map shows the geographic impact of Sonja Hänzelmann'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 Sonja Hänzelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Hänzelmann more than expected).
Fields of papers citing papers by Sonja Hänzelmann
This network shows the impact of papers produced by Sonja Hänzelmann. 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 Sonja Hänzelmann. The network helps show where Sonja Hänzelmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Hänzelmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GSVA: gene set variation analysis for microarray and RNA-Seq data Hit paper breakdown → | 2013 | 8671 |
| 2 | 2016 | 129 | |
| 3 | 2019 | 127 | |
| 4 | 2015 | 54 | |
| 5 | 2015 | 49 | |
| 6 | 2015 | 32 | |
| 7 | 2018 | 27 | |
| 8 | 2015 | 17 | |
| 9 | 2023 | 14 | |
| 10 | 2015 | 14 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 0 |
About Sonja Hänzelmann
Sonja Hänzelmann is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Cancer Research, having authored 18 papers that have together received 9.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers), Glioma Diagnosis and Treatment (2 papers), Single-cell and spatial transcriptomics (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cancer Research (3.2k citations), Pulmonary and Respiratory Medicine (3.6k citations), Immunology (2.3k citations), Oncology (2.5k citations) and Molecular Biology (5.2k citations). Sonja Hänzelmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Robert Castelo, Justin Guinney, Ivan G. Costa, Chao‐Chung Kuo, Ingrid Grummt, Stefan L. Frank, Gaurav Ahuja, Vijay Suresh Akhade, Sylvia Joussen and Carmen Koch. Their work appears in journals such as Nucleic Acids Research, Clinical Epigenetics, Journal of Hypertension, Nature Communications and Frontiers in Immunology.
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.