Eva Morán
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Ubiquitin and proteasome pathways 2
- Oncology 5
- PARP inhibition in cancer therapy 2
- Co-authors
- Alessio Nencioni (12 shared papers)Alberto Ballestrero (9 shared papers)Eveline J. Steine (2 shared papers)Timothy He (2 shared papers)Rudolf Jaenisch (2 shared papers)Heinz Linhart (2 shared papers)Franco Patrone (10 shared papers)Sumita Gokhale (1 shared paper)
- Journals
- PLoS ONE (2 papers)Bioorganic & Medicinal Chemistry (2 papers)Seminars in Hematology (1 paper)Advanced Drug Delivery Reviews (1 paper)Experimental Hematology (1 paper)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Eva Morán
19 papers receiving 769 citations
Peers
Comparison fields: 5 of 84
- Geriatrics and Gerontology 94
- Physiology 70
- Obstetrics and Gynecology 80
- Oncology 145
- Molecular Biology 356
Countries citing papers authored by Eva Morán
This map shows the geographic impact of Eva Morán'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 Eva Morán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Morán more than expected).
Fields of papers citing papers by Eva Morán
This network shows the impact of papers produced by Eva Morán. 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 Eva Morán. The network helps show where Eva Morán may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Morán, 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 | 2007 | 220 | |
| 2 | 2009 | 134 | |
| 3 | 2008 | 76 | |
| 4 | 2011 | 64 | |
| 5 | 2007 | 50 | |
| 6 | 2010 | 41 | |
| 7 | 2012 | 35 | |
| 8 | 2010 | 32 | |
| 9 | 2009 | 27 | |
| 10 | 2010 | 22 | |
| 11 | 2010 | 20 | |
| 12 | 2018 | 20 | |
| 13 | 2011 | 13 | |
| 14 | 2006 | 10 | |
| 15 | 2016 | 6 | |
| 16 | The role of proteasome in malignant diseases. | 2007 | 6 |
| 17 | 2009 | 5 | |
| 18 | Current standards and future strategies in immunochemotherapy of non-Hodgkin's lymphoma. | 2011 | 4 |
| 19 | 2016 | 3 |
About Eva Morán
Eva Morán is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Organic Chemistry and Genetics, having authored 19 papers that have together received 788 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), PARP inhibition in cancer therapy (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (94 citations), Physiology (70 citations), Obstetrics and Gynecology (80 citations), Oncology (145 citations) and Molecular Biology (356 citations). Eva Morán has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alessio Nencioni, Alberto Ballestrero, Eveline J. Steine, Timothy He, Rudolf Jaenisch, Heinz Linhart, Franco Patrone, Sumita Gokhale, Haijiang Lin and Michele Cea. Their work appears in journals such as PLoS ONE, Bioorganic & Medicinal Chemistry, Seminars in Hematology, Advanced Drug Delivery Reviews and Experimental Hematology.
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.