Markus Duechler
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 10
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 5
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- Ubiquitin and proteasome pathways 5
- Extracellular vesicles in disease 4
- RNA Interference and Gene Delivery 3
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- Immunotherapy and Immune Responses 4
- Hematology top 10%
- Acute Myeloid Leukemia Research 2
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- Cancer-related Molecular Pathways 4
- Co-authors
- Małgorzata CzyżMedhat ShehataJosef D. SchwarzmeierRainer HubmannMartin HilgarthAnna Gajos-MichniewiczJacek R. WilczyńskiElżbieta Sochacka
- Journals
- Blood (5 papers)Archivum Immunologiae et Therapiae Experimentalis (3 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- PolandAustriaUnited States
In The Last Decade
Markus Duechler
29 papers receiving 968 citations
Peers
Comparison fields: 5 of 97
- Genetics 156
- Cancer Research 204
- Molecular Biology 640
- Immunology 187
- Hematology 89
Countries citing papers authored by Markus Duechler
This map shows the geographic impact of Markus Duechler'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 Duechler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Duechler more than expected).
Fields of papers citing papers by Markus Duechler
This network shows the impact of papers produced by Markus Duechler. 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 Duechler. The network helps show where Markus Duechler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Duechler, 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 | 2016 | 101 | |
| 2 | 2015 | 2 | |
| 3 | Influence of hypoxia inducible factors on the immune microenvironment in ovarian cancer. | 2014 | 15 |
| 4 | 2014 | 93 | |
| 5 | 2013 | 40 | |
| 6 | 2013 | 29 | |
| 7 | 2012 | 46 | |
| 8 | 2011 | 22 | |
| 9 | 2011 | 34 | |
| 10 | 2010 | 15 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 91 | |
| 13 | 2007 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2005 | 34 | |
| 16 | 2004 | 59 | |
| 17 | 2004 | 63 | |
| 18 | 2002 | 111 | |
| 19 | 1993 | 16 | |
| 20 | 1987 | 70 |
About Markus Duechler
Markus Duechler is a scholar working on Genetics, Cancer Research, Endocrinology, Immunology and Oncology, having authored 29 papers that have together received 981 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ubiquitin and proteasome pathways (5 papers), Extracellular vesicles in disease (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer-related Molecular Pathways (4 papers), RNA Interference and Gene Delivery (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (156 citations), Cancer Research (204 citations), Molecular Biology (640 citations), Immunology (187 citations) and Hematology (89 citations). Markus Duechler has collaborated with scholars based in Poland, Austria and United States. Frequent co-authors include Małgorzata Czyż, Medhat Shehata, Josef D. Schwarzmeier, Rainer Hubmann, Martin Hilgarth, Anna Gajos-Michniewicz, Jacek R. Wilczyński, Elżbieta Sochacka, Grażyna Leszczyńska and Barbara Nawrot. Their work appears in journals such as Blood, Archivum Immunologiae et Therapiae Experimentalis, Journal of Clinical Investigation, Leukemia Research and Leukemia.
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.