Markus Schaich
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 83
- Hematopoietic Stem Cell Transplantation 27
- Chronic Myeloid Leukemia Treatments 25
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 19
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- Acute Lymphoblastic Leukemia research 16
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 12
- Cancer Research top 5%
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- Retinoids in leukemia and cellular processes 12
- Histone Deacetylase Inhibitors Research 11
- Co-authors
- Gerhard EhningerThomas IllmerChristian ThiedeMartin BornhäuserBrigitte MohrUwe PlatzbeckerChristine SteudelUlrike Schäkel
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Schaich
112 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 4.5k
- Genetics 1.8k
- Public Health, Environmental and Occupational Health 1.4k
- Oncology 1.3k
- Cancer Research 482
Countries citing papers authored by Markus Schaich
This map shows the geographic impact of Markus Schaich'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 Schaich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schaich more than expected).
Fields of papers citing papers by Markus Schaich
This network shows the impact of papers produced by Markus Schaich. 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 Schaich. The network helps show where Markus Schaich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Schaich, 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 | 2020 | 8 | |
| 2 | 2019 | 34 | |
| 3 | 2019 | 4 | |
| 4 | 2015 | 19 | |
| 5 | 2014 | 5 | |
| 6 | 2013 | 51 | |
| 7 | 2012 | 37 | |
| 8 | 2012 | 210 | |
| 9 | 2011 | 30 | |
| 10 | 2010 | 21 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 8 | |
| 13 | 2008 | 111 | |
| 14 | 2006 | 33 | |
| 15 | 2003 | 115 | |
| 16 | Association of specific cytogenetic aberrations with mdr1 gene expression in adult myeloid leukemia and its implication in treatment outcome. | 2002 | 16 |
| 17 | 2001 | 1 | |
| 18 | 2001 | 8 | |
| 19 | 2000 | 55 | |
| 20 | 1997 | 8 |
About Markus Schaich
Markus Schaich is a scholar working on Hematology, Genetics and Oncology, having authored 116 papers that have together received 6.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (83 papers), Hematopoietic Stem Cell Transplantation (27 papers), Chronic Myeloid Leukemia Treatments (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers), Acute Lymphoblastic Leukemia research (16 papers), Retinoids in leukemia and cellular processes (12 papers), Drug Transport and Resistance Mechanisms (12 papers) and Histone Deacetylase Inhibitors Research (11 papers). The work is most often cited by research in Hematology (4.5k citations), Genetics (1.8k citations) and Public Health, Environmental and Occupational Health (1.4k citations). Markus Schaich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Gerhard Ehninger, Thomas Illmer, Christian Thiede, Martin Bornhäuser, Brigitte Mohr, Uwe Platzbecker, Christine Steudel, Ulrike Schäkel, Martin Wermke and Andreas Neubauer. Their work appears in journals such as Blood, Haematologica, Leukemia, British Journal of Haematology and Journal of Clinical Oncology.
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.