Martin Danzer
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Hematopoietic Stem Cell Transplantation
- Transplantation top 10%
Papers in
- Hematology 11
- Blood groups and transfusion 7
- Hematopoietic Stem Cell Transplantation 2
- Acute Myeloid Leukemia Research 2
- Co-authors
- Christian Gabriel (20 shared papers)Katja Hofer (8 shared papers)Helene Polin (11 shared papers)Johannes Pröll (11 shared papers)Christa Hackl (3 shared papers)M. Hofmann (1 shared paper)Carina Fischer (1 shared paper)Florian Hildner (2 shared papers)
- Journals
- Transfusion (7 papers)PLoS ONE (2 papers)Blood (2 papers)BMC Bioinformatics (2 papers)Human Immunology (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Martin Danzer
25 papers receiving 575 citations
Peers
Comparison fields: 5 of 65
- Hematology 176
- Transplantation 35
- Hepatology 81
- Immunology 142
- Genetics 68
Countries citing papers authored by Martin Danzer
This map shows the geographic impact of Martin Danzer'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 Martin Danzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Danzer more than expected).
Fields of papers citing papers by Martin Danzer
This network shows the impact of papers produced by Martin Danzer. 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 Martin Danzer. The network helps show where Martin Danzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Danzer, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 80 | |
| 2 | 2009 | 67 | |
| 3 | 2009 | 66 | |
| 4 | 2013 | 55 | |
| 5 | 2009 | 51 | |
| 6 | 2009 | 48 | |
| 7 | 2007 | 46 | |
| 8 | 2010 | 40 | |
| 9 | 2013 | 20 | |
| 10 | 2011 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2014 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2011 | 8 | |
| 17 | 2007 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2015 | 3 | |
| 20 | 2012 | 3 |
About Martin Danzer
Martin Danzer is a scholar working on Hematology, Molecular Biology, Immunology, Epidemiology and Genetics, having authored 29 papers that have together received 587 indexed citations. Recurring topics across this work include Blood groups and transfusion (7 papers), T-cell and B-cell Immunology (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immune Cell Function and Interaction (2 papers), Acute Myeloid Leukemia Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (176 citations), Transplantation (35 citations), Hepatology (81 citations), Immunology (142 citations) and Genetics (68 citations). Martin Danzer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christian Gabriel, Katja Hofer, Helene Polin, Johannes Pröll, Christa Hackl, M. Hofmann, Carina Fischer, Florian Hildner, Heinz Redl and Susanne Wolbank. Their work appears in journals such as Transfusion, PLoS ONE, Blood, BMC Bioinformatics and Human Immunology.
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.