Miriam Kull
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Advanced biosensing and bioanalysis techniques
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- RNA Research and Splicing
Papers in
- Hematology 13
- Multiple Myeloma Research and Treatments 12
- Acute Myeloid Leukemia Research 1
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- Protein Degradation and Inhibitors 5
- PI3K/AKT/mTOR signaling in cancer 2
- DNA Repair Mechanisms 1
- Co-authors
- Uwe M. Martens (1 shared paper)Hesham Eldaly (1 shared paper)Milena Pantić (1 shared paper)Stefan Zimmermann (1 shared paper)Cornelius F. Waller (1 shared paper)Christian Langer (7 shared papers)Stefan Knop (6 shared papers)Lars Bullinger (4 shared papers)
- Journals
- Blood (3 papers)Journal of Clinical Oncology (1 paper)Nature Communications (1 paper)Acta Haematologica (1 paper)HemaSphere (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Miriam Kull
14 papers receiving 346 citations
Peers
Comparison fields: 5 of 42
- Hematology 129
- Molecular Biology 265
- Physiology 86
- Genetics 23
- Oncology 55
Countries citing papers authored by Miriam Kull
This map shows the geographic impact of Miriam Kull'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 Miriam Kull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Kull more than expected).
Fields of papers citing papers by Miriam Kull
This network shows the impact of papers produced by Miriam Kull. 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 Miriam Kull. The network helps show where Miriam Kull may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Kull, 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 | 2004 | 123 | |
| 2 | 2014 | 51 | |
| 3 | 2022 | 49 | |
| 4 | 2015 | 36 | |
| 5 | 2016 | 36 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 11 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2016 | 4 | |
| 12 | 2017 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2018 | 0 | |
| 16 | 2024 | 0 |
About Miriam Kull
Miriam Kull is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Infectious Diseases, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (5 papers), Chronic Lymphocytic Leukemia Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Acute Myeloid Leukemia Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Bone and Joint Diseases (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hematology (129 citations), Molecular Biology (265 citations), Physiology (86 citations), Genetics (23 citations) and Oncology (55 citations). Miriam Kull has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Uwe M. Martens, Hesham Eldaly, Milena Pantić, Stefan Zimmermann, Cornelius F. Waller, Christian Langer, Stefan Knop, Lars Bullinger, Hermann Einsele and Ralf C. Bargou. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nature Communications, Acta Haematologica and HemaSphere.
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.