Markus Warmuth
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 24
- Chronic Myeloid Leukemia Treatments 18
- Acute Myeloid Leukemia Research 7
-
- Hedgehog Signaling Pathway Studies 6
- Co-authors
- Michael Hallek (11 shared papers)Doriano Fabbro (4 shared papers)Hendrik Veelken (5 shared papers)Christine Dierks (5 shared papers)Katja Zirlik (5 shared papers)S. Danhauser-Riedl (4 shared papers)Gang Xia (4 shared papers)Paul W. Manley (4 shared papers)
- Journals
- Cancer Research (8 papers)Blood (4 papers)Annals of Hematology (3 papers)European Journal of Cancer (2 papers)Cell Cycle (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Markus Warmuth
47 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 88
- Hematology 1.2k
- Genetics 846
- Oncology 883
- Rheumatology 402
- Pathology and Forensic Medicine 397
Countries citing papers authored by Markus Warmuth
This map shows the geographic impact of Markus Warmuth'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 Markus Warmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Warmuth more than expected).
Fields of papers citing papers by Markus Warmuth
This network shows the impact of papers produced by Markus Warmuth. 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 Markus Warmuth. The network helps show where Markus Warmuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Warmuth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 433 | |
| 2 | 2004 | 325 | |
| 3 | 2006 | 302 | |
| 4 | 2007 | 269 | |
| 5 | Activation of Src kinases p53/56lyn and p59hck by p210bcr/abl in myeloid cells. | 1996 | 162 |
| 6 | 2006 | 158 | |
| 7 | 2010 | 156 | |
| 8 | 2006 | 125 | |
| 9 | 2002 | 109 | |
| 10 | 1997 | 107 | |
| 11 | 2003 | 96 | |
| 12 | 2011 | 91 | |
| 13 | 2011 | 91 | |
| 14 | 2017 | 85 | |
| 15 | 2003 | 62 | |
| 16 | 1999 | 61 | |
| 17 | 2010 | 61 | |
| 18 | 2010 | 53 | |
| 19 | 2010 | 50 | |
| 20 | 2001 | 50 |
About Markus Warmuth
Markus Warmuth is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Cancer Research, having authored 49 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (18 papers), Chronic Lymphocytic Leukemia Research (15 papers), Acute Myeloid Leukemia Research (7 papers), Cancer-related Molecular Pathways (6 papers), Hedgehog Signaling Pathway Studies (6 papers), Eosinophilic Disorders and Syndromes (6 papers), Cancer Genomics and Diagnostics (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (846 citations), Oncology (883 citations), Rheumatology (402 citations) and Pathology and Forensic Medicine (397 citations). Markus Warmuth has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Michael Hallek, Doriano Fabbro, Hendrik Veelken, Christine Dierks, Katja Zirlik, S. Danhauser-Riedl, Gang Xia, Paul W. Manley, Marion Dorsch and Nathanael S. Gray. Their work appears in journals such as Cancer Research, Blood, Annals of Hematology, European Journal of Cancer and Cell Cycle.
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.