Daniela Asslaber
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
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- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
Papers in
- Genetics 16
- Chronic Lymphocytic Leukemia Research 16
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- Glycosylation and Glycoproteins Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Richard Greil (21 shared papers)Alexander Egle (12 shared papers)Olaf Merkel (4 shared papers)Tanja Nicole Hartmann (7 shared papers)Josefina Piñón Hofbauer (8 shared papers)Ingeborg Tinhofer (2 shared papers)Markus Stöcher (2 shared papers)Inge Tinhofer (2 shared papers)
In The Last Decade
Daniela Asslaber
20 papers receiving 567 citations
Peers
Comparison fields: 5 of 62
- Genetics 223
- Immunology 158
- Pathology and Forensic Medicine 128
- Cancer Research 98
- Biological Psychiatry 13
Countries citing papers authored by Daniela Asslaber
This map shows the geographic impact of Daniela Asslaber'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 Daniela Asslaber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Asslaber more than expected).
Fields of papers citing papers by Daniela Asslaber
This network shows the impact of papers produced by Daniela Asslaber. 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 Daniela Asslaber. The network helps show where Daniela Asslaber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Asslaber, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 81 | |
| 2 | 2011 | 74 | |
| 3 | 2010 | 63 | |
| 4 | 2014 | 62 | |
| 5 | 2010 | 46 | |
| 6 | 2022 | 44 | |
| 7 | 2012 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2008 | 26 | |
| 10 | 2018 | 21 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2015 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 8 | |
| 17 | 2010 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2011 | 1 |
About Daniela Asslaber
Daniela Asslaber is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Cancer Research, having authored 22 papers that have together received 574 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (16 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Glycosylation and Glycoproteins Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Genetics (223 citations), Immunology (158 citations), Pathology and Forensic Medicine (128 citations), Cancer Research (98 citations) and Biological Psychiatry (13 citations). Daniela Asslaber has collaborated with scholars based in Austria, Germany and Slovakia. Frequent co-authors include Richard Greil, Alexander Egle, Olaf Merkel, Tanja Nicole Hartmann, Josefina Piñón Hofbauer, Ingeborg Tinhofer, Markus Stöcher, Inge Tinhofer, Ursula Denk and Christoph Heyder. Their work appears in journals such as Blood, Cancer Research, Oncotarget, Leukemia and Cell Death and Differentiation.
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.