Stefan Fröhling
- Hematology top 0.05%
- Acute Myeloid Leukemia Research 59
- Chronic Myeloid Leukemia Treatments 25
- Genetics top 0.2%
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 53
- Molecular Biology top 1%
- Protein Degradation and Inhibitors 18
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers 16
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- Sarcoma Diagnosis and Treatment 25
- Lung Cancer Treatments and Mutations 13
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- Acute Lymphoblastic Leukemia research 13
- Co-authors
- Hartmut DöhnerKonstanze DöhnerRichard F. SchlenkClaudia SchollLars BullingerAxel BennerAndrea CorbaciogluD. Gary Gilliland
- Cited by
- HematologyGeneticsCancer Research
- Journals
- New England Journal of Medicine (3 papers)Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Stefan Fröhling
203 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Hematology 5.5k
- Genetics 2.0k
- Cancer Research 1.9k
- Molecular Biology 5.6k
- Oncology 2.2k
Countries citing papers authored by Stefan Fröhling
This map shows the geographic impact of Stefan Fröhling'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 Stefan Fröhling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Fröhling more than expected).
Fields of papers citing papers by Stefan Fröhling
This network shows the impact of papers produced by Stefan Fröhling. 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 Stefan Fröhling. The network helps show where Stefan Fröhling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Fröhling, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 49 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2018 | 117 | |
| 18 | 2017 | 38 | |
| 19 | 2017 | 32 | |
| 20 | 2014 | 51 |
About Stefan Fröhling
Stefan Fröhling is a scholar working on Hematology, Cancer Research and Genetics, having authored 210 papers that have together received 11.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (59 papers), Cancer Genomics and Diagnostics (53 papers), Sarcoma Diagnosis and Treatment (25 papers), Chronic Myeloid Leukemia Treatments (25 papers), Protein Degradation and Inhibitors (18 papers), Cancer Immunotherapy and Biomarkers (16 papers), Lung Cancer Treatments and Mutations (13 papers) and Acute Lymphoblastic Leukemia research (13 papers). The work is most often cited by research in Hematology (5.5k citations), Genetics (2.0k citations) and Cancer Research (1.9k citations). Stefan Fröhling has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hartmut Döhner, Konstanze Döhner, Richard F. Schlenk, Claudia Scholl, Lars Bullinger, Axel Benner, Andrea Corbacioglu, D. Gary Gilliland, Marianne Habdank and Jonathan R. Pollack. Their work appears in journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.
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.