Iris Z. Uras
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 2
-
- Advanced Breast Cancer Therapies 3
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Emilio Casanova (3 shared papers)Herwig P. Moll (2 shared papers)Veronika Sexl (7 shared papers)Sebastian Nijman (5 shared papers)Markus K. Muellner (4 shared papers)Michal Šmída (2 shared papers)Karoline Kollmann (4 shared papers)Claudia Kerzendorfer (3 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Haematologica (2 papers)PLoS ONE (2 papers)Blood (2 papers)Nature Communications (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Iris Z. Uras
15 papers receiving 764 citations
Peers
Comparison fields: 5 of 76
- Hematology 146
- Genetics 124
- Oncology 223
- Cancer Research 109
- Molecular Biology 446
Countries citing papers authored by Iris Z. Uras
This map shows the geographic impact of Iris Z. Uras'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 Iris Z. Uras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Z. Uras more than expected).
Fields of papers citing papers by Iris Z. Uras
This network shows the impact of papers produced by Iris Z. Uras. 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 Iris Z. Uras. The network helps show where Iris Z. Uras may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Z. Uras, 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 | 2011 | 135 | |
| 2 | 2020 | 105 | |
| 3 | 2016 | 103 | |
| 4 | 2020 | 74 | |
| 5 | 2009 | 64 | |
| 6 | 2018 | 52 | |
| 7 | 2013 | 46 | |
| 8 | 2020 | 38 | |
| 9 | 2016 | 33 | |
| 10 | 2019 | 30 | |
| 11 | 2022 | 25 | |
| 12 | 2017 | 23 | |
| 13 | 2012 | 21 | |
| 14 | 2018 | 15 | |
| 15 | 2014 | 5 | |
| 16 | 2024 | 0 |
About Iris Z. Uras
Iris Z. Uras is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Pathology and Forensic Medicine and Oncology, having authored 16 papers that have together received 769 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (3 papers), Protein Degradation and Inhibitors (3 papers), Advanced Breast Cancer Therapies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (146 citations), Genetics (124 citations), Oncology (223 citations), Cancer Research (109 citations) and Molecular Biology (446 citations). Iris Z. Uras has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Emilio Casanova, Herwig P. Moll, Veronika Sexl, Sebastian Nijman, Markus K. Muellner, Michal Šmída, Karoline Kollmann, Claudia Kerzendorfer, Peter Valent and Bianca V. Gapp. Their work appears in journals such as International Journal of Molecular Sciences, Haematologica, PLoS ONE, Blood 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.