Daniela Purcea
Impact in
-
- Hepatitis C virus research
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- Hypothalamic control of reproductive hormones
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 4
- PARP inhibition in cancer therapy 3
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- Fibroblast Growth Factor Research 2
- Co-authors
- Pierre Grosgurin (2 shared papers)Petre Iacob Calistru (1 shared paper)Elisabeth Rouits (4 shared papers)Dieter Häussinger (1 shared paper)Jean–Michel Pawlotsky (1 shared paper)Jean‐Pierre Delord (3 shared papers)G. Mazzella (1 shared paper)R. Crabbé (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Annals of Oncology (4 papers)Molecular Cancer Therapeutics (1 paper)Journal of Hepatology (1 paper)Clinical and Translational Science (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Daniela Purcea
15 papers receiving 238 citations
Peers
Comparison fields: 5 of 49
- Hepatology 46
- Reproductive Medicine 28
- Endocrinology, Diabetes and Metabolism 39
- Pulmonary and Respiratory Medicine 69
- Oncology 42
Countries citing papers authored by Daniela Purcea
This map shows the geographic impact of Daniela Purcea'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 Purcea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Purcea more than expected).
Fields of papers citing papers by Daniela Purcea
This network shows the impact of papers produced by Daniela Purcea. 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 Purcea. The network helps show where Daniela Purcea may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Purcea, 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 | 2009 | 49 | |
| 2 | 2011 | 46 | |
| 3 | 2016 | 31 | |
| 4 | 2015 | 27 | |
| 5 | 2021 | 17 | |
| 6 | 2016 | 16 | |
| 7 | 2024 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2011 | 9 | |
| 11 | 2019 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2015 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2015 | 2 |
About Daniela Purcea
Daniela Purcea is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 15 papers that have together received 244 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Prostate Cancer Treatment and Research (3 papers), Hormonal and reproductive studies (3 papers), PARP inhibition in cancer therapy (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Fibroblast Growth Factor Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Urinary and Genital Oncology Studies (2 papers). The work is most often cited by research in Hepatology (46 citations), Reproductive Medicine (28 citations), Endocrinology, Diabetes and Metabolism (39 citations), Pulmonary and Respiratory Medicine (69 citations) and Oncology (42 citations). Daniela Purcea has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Pierre Grosgurin, Petre Iacob Calistru, Elisabeth Rouits, Dieter Häussinger, Jean–Michel Pawlotsky, Jean‐Pierre Delord, G. Mazzella, R. Crabbé, G. Vuagniaux and Manuel Romero‐Gómez. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Molecular Cancer Therapeutics, Journal of Hepatology and Clinical and Translational Science.
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.