Daniela Ungureanu
Impact in
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- Kruppel-like factors research 5
- Ubiquitin and proteasome pathways 4
- Oncology 25
- Cytokine Signaling Pathways and Interactions 19
- Cancer Cells and Metastasis 3
- Co-authors
- Olli Silvennoinen (18 shared papers)Stevan R. Hubbard (5 shared papers)Sari Vanhatupa (5 shared papers)Henrik M. Hammarén (8 shared papers)Yibing Shan (2 shared papers)David E. Shaw (2 shared papers)Douglas J. Hilton (1 shared paper)Pipsa Saharinen (1 shared paper)
- Journals
- Cell Death and Disease (3 papers)Nature Structural & Molecular Biology (3 papers)Translational Oncology (3 papers)Cell Death Discovery (2 papers)Biochemical Society Transactions (2 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Daniela Ungureanu
45 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Genetics 479
- Oncology 886
- Immunology 664
- Hematology 274
- Molecular Biology 1000
Countries citing papers authored by Daniela Ungureanu
This map shows the geographic impact of Daniela Ungureanu'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 Ungureanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ungureanu more than expected).
Fields of papers citing papers by Daniela Ungureanu
This network shows the impact of papers produced by Daniela Ungureanu. 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 Ungureanu. The network helps show where Daniela Ungureanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ungureanu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 272 | |
| 2 | 2011 | 215 | |
| 3 | 2002 | 211 | |
| 4 | 2012 | 180 | |
| 5 | 2003 | 126 | |
| 6 | 2014 | 122 | |
| 7 | 2005 | 79 | |
| 8 | 2015 | 78 | |
| 9 | 2015 | 77 | |
| 10 | 2020 | 71 | |
| 11 | 2020 | 43 | |
| 12 | 2019 | 42 | |
| 13 | 2007 | 42 | |
| 14 | 2019 | 36 | |
| 15 | 2013 | 35 | |
| 16 | 2017 | 34 | |
| 17 | 2011 | 31 | |
| 18 | 2013 | 30 | |
| 19 | 2016 | 27 | |
| 20 | 2017 | 27 |
About Daniela Ungureanu
Daniela Ungureanu is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Hematology, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (19 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Kruppel-like factors research (5 papers), interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Genetics (479 citations), Oncology (886 citations), Immunology (664 citations), Hematology (274 citations) and Molecular Biology (1000 citations). Daniela Ungureanu has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Olli Silvennoinen, Stevan R. Hubbard, Sari Vanhatupa, Henrik M. Hammarén, Yibing Shan, David E. Shaw, Douglas J. Hilton, Pipsa Saharinen, Ilkka Junttila and Hanna Karvonen. Their work appears in journals such as Cell Death and Disease, Nature Structural & Molecular Biology, Translational Oncology, Cell Death Discovery and Biochemical Society Transactions.
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.