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
- Cancer therapeutics and mechanisms 2
-
- Lung Cancer Treatments and Mutations 3
- Advanced Breast Cancer Therapies 3
- Co-authors
- Emilio Casanova (3 shared papers)Herwig P. Moll (2 shared papers)Sebastian Nijman (5 shared papers)Veronika Sexl (6 shared papers)Markus K. Muellner (4 shared papers)Claudia Kerzendorfer (3 shared papers)Michal Šmída (2 shared papers)Karoline Kollmann (3 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Haematologica (2 papers)PLoS ONE (2 papers)Blood (2 papers)Cancers (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Iris Z. Uras
15 papers receiving 745 citations
Peers
Comparison fields: 5 of 77
- Hematology 152
- Genetics 136
- Oncology 240
- Cancer Research 123
- Molecular Biology 481
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 | 134 | |
| 2 | 2020 | 103 | |
| 3 | 2016 | 98 | |
| 4 | 2020 | 72 | |
| 5 | 2009 | 64 | |
| 6 | 2018 | 51 | |
| 7 | 2013 | 46 | |
| 8 | 2020 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2019 | 30 | |
| 11 | 2017 | 23 | |
| 12 | 2012 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2018 | 15 | |
| 15 | 2014 | 5 |
About Iris Z. Uras
Iris Z. Uras is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Hematology, having authored 15 papers that have together received 751 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Lung Cancer Treatments and Mutations (3 papers), Advanced Breast Cancer Therapies (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer therapeutics and mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hematology (152 citations), Genetics (136 citations), Oncology (240 citations), Cancer Research (123 citations) and Molecular Biology (481 citations). Iris Z. Uras has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Emilio Casanova, Herwig P. Moll, Sebastian Nijman, Veronika Sexl, Markus K. Muellner, Claudia Kerzendorfer, Michal Šmída, Karoline Kollmann, Peter Valent and Jacques Colinge. Their work appears in journals such as International Journal of Molecular Sciences, Haematologica, PLoS ONE, Blood and Cancers.
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.