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
- Viral Infectious Diseases and Gene Expression in Insects 2
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
- Oncology 4
- Cancer Cells and Metastasis 2
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Emilio Casanova (11 shared papers)Robert Eferl (11 shared papers)Mónica Musteanu (9 shared papers)Harald Esterbauer (5 shared papers)Lukas Kenner (4 shared papers)Harald Schnidar (1 shared paper)Michaela Hanneder (1 shared paper)Cornelia Hauser‐Kronberger (1 shared paper)
- Journals
- Gastroenterology (2 papers)Hepatology (2 papers)Nature Communications (1 paper)Infection and Immunity (1 paper)BioTechniques (1 paper)
- Partner nations
- AustriaSwedenUnited States
In The Last Decade
Leander Blaas
17 papers receiving 822 citations
Peers
Comparison fields: 5 of 65
- Oncology 308
- Hepatology 64
- Microbiology 47
- Molecular Biology 483
- Cancer Research 74
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 | 191 | |
| 2 | 2009 | 135 | |
| 3 | 2016 | 112 | |
| 4 | 1991 | 72 | |
| 5 | 2016 | 70 | |
| 6 | 2010 | 65 | |
| 7 | 2009 | 47 | |
| 8 | 2017 | 45 | |
| 9 | 2014 | 26 | |
| 10 | 2009 | 25 | |
| 11 | 2021 | 17 | |
| 12 | 2012 | 13 | |
| 13 | 2011 | 8 | |
| 14 | 2007 | 7 | |
| 15 | 2010 | 5 | |
| 16 | 2019 | 2 | |
| 17 | 2014 | 1 |
About Leander Blaas
Leander Blaas is a scholar working on Molecular Biology, Oncology, Genetics, Organic Chemistry and Surgery, having authored 17 papers that have together received 841 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Cancer Cells and Metastasis (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Oncology (308 citations), Hepatology (64 citations), Microbiology (47 citations), Molecular Biology (483 citations) and Cancer Research (74 citations). Leander Blaas has collaborated with scholars based in Austria, Sweden and United States. Frequent co-authors include Emilio Casanova, Robert Eferl, Mónica Musteanu, Harald Esterbauer, Lukas Kenner, Harald Schnidar, Michaela Hanneder, Cornelia Hauser‐Kronberger, Stefan Klingler and Graham W. Neill. Their work appears in journals such as Gastroenterology, Hepatology, Nature Communications, Infection and Immunity and BioTechniques.
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.