Leander Blaas
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- CRISPR and Genetic Engineering 3
- Hedgehog Signaling Pathway Studies 2
- Genetics 5
- Virus-based gene therapy research 2
- Co-authors
- Emilio Casanova (11 shared papers)Robert Eferl (11 shared papers)Mónica Musteanu (9 shared papers)Harald Esterbauer (5 shared papers)Maria Kasper (1 shared paper)Markus Mair (3 shared papers)Harald Schnidar (1 shared paper)Carmen Schmid (1 shared paper)
- Journals
- Hepatology (2 papers)Gastroenterology (2 papers)Nature Methods (1 paper)Infection and Immunity (1 paper)Nature Communications (1 paper)
- Partner nations
- AustriaSwedenNetherlands
In The Last Decade
Leander Blaas
17 papers receiving 793 citations
Peers
Comparison fields: 5 of 67
- Oncology 320
- Hepatology 75
- Molecular Biology 496
- Microbiology 40
- Cancer Research 79
Countries citing papers authored by Leander Blaas
This map shows the geographic impact of Leander Blaas'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 Leander Blaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leander Blaas more than expected).
Fields of papers citing papers by Leander Blaas
This network shows the impact of papers produced by Leander Blaas. 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 Leander Blaas. The network helps show where Leander Blaas may publish in the future.
Co-authors
The 25 scholars most cited alongside Leander Blaas, 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 | 2006 | 186 | |
| 2 | 2009 | 129 | |
| 3 | 2016 | 107 | |
| 4 | 2016 | 66 | |
| 5 | 2010 | 66 | |
| 6 | 1991 | 61 | |
| 7 | 2009 | 46 | |
| 8 | 2017 | 44 | |
| 9 | 2014 | 26 | |
| 10 | 2009 | 24 | |
| 11 | 2021 | 15 | |
| 12 | 2012 | 11 | |
| 13 | 2011 | 8 | |
| 14 | 2007 | 7 | |
| 15 | 2010 | 6 | |
| 16 | 2019 | 2 | |
| 17 | 2014 | 1 |
About Leander Blaas
Leander Blaas is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 805 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Liver physiology and pathology (3 papers), CRISPR and Genetic Engineering (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer Cells and Metastasis (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (320 citations), Hepatology (75 citations), Molecular Biology (496 citations), Microbiology (40 citations) and Cancer Research (79 citations). Leander Blaas has collaborated with scholars based in Austria, Sweden and Netherlands. Frequent co-authors include Emilio Casanova, Robert Eferl, Mónica Musteanu, Harald Esterbauer, Maria Kasper, Markus Mair, Harald Schnidar, Carmen Schmid, Stefan Klingler and Michael P. Philpott. Their work appears in journals such as Hepatology, Gastroenterology, Nature Methods, Infection and Immunity and Nature Communications.
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.