Eleonora Iuliano
- Physiology top 10%
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- Platelet Disorders and Treatments 4
- Blood groups and transfusion 2
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- Colorectal Cancer Treatments and Studies 2
- Cancer Immunotherapy and Biomarkers 2
- PARP inhibition in cancer therapy 2
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- Ovarian cancer diagnosis and treatment 3
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- Chronic Lymphocytic Leukemia Research 4
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- Lymphoma Diagnosis and Treatment 2
- Co-authors
- Pierfrancesco TassoneMichele CaragliaMaria Teresa Di MartinoCirino BottaPierosandro TagliaferriMarco RossiAntonio GiordanoFrancesco Conforti
- Cited by
- Cancer ResearchPhysiologyHematology
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Eleonora Iuliano
18 papers receiving 342 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 128
- Physiology 27
- Hematology 52
- Oncology 99
- Reproductive Medicine 30
Countries citing papers authored by Eleonora Iuliano
This map shows the geographic impact of Eleonora Iuliano'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 Eleonora Iuliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eleonora Iuliano more than expected).
Fields of papers citing papers by Eleonora Iuliano
This network shows the impact of papers produced by Eleonora Iuliano. 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 Eleonora Iuliano. The network helps show where Eleonora Iuliano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eleonora Iuliano, 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 | 2022 | 2 | |
| 2 | 2021 | 23 | |
| 3 | 2021 | 9 | |
| 4 | 2020 | 33 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 35 | |
| 9 | Role of P53 and Ki-67 as Prognostic Factors in Ovarian Cancer: Systematic Review and Pooled-Analysis | 2018 | 0 |
| 10 | 2018 | 1 | |
| 11 | 2018 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 33 | |
| 17 | 2014 | 1 | |
| 18 | 2012 | 168 | |
| 19 | 2012 | 3 | |
| 20 | Comparative in vitro and in vivo studies between morphine and methionine-enkephalin: genotype dependent response in two different strains of mice. | 1978 | 4 |
About Eleonora Iuliano
Eleonora Iuliano is a scholar working on Hematology, Family Practice and Genetics, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Platelet Disorders and Treatments (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Blood groups and transfusion (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cancer Research (128 citations), Physiology (27 citations) and Hematology (52 citations). Eleonora Iuliano has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Pierfrancesco Tassone, Michele Caraglia, Maria Teresa Di Martino, Cirino Botta, Pierosandro Tagliaferri, Marco Rossi, Antonio Giordano, Francesco Conforti, Nicola Amodio and Emanuela Leone. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
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.