Eva Morán

1.1k citations
18 papers · 766 indexed · h-index 12

Impact in

Papers in

Eva Morán

18 papers receiving 747 citations

Peers

Eva Morán
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 94
  • Physiology 74
  • Obstetrics and Gynecology 90
  • Reproductive Medicine 64
  • Oncology 182
Replace Soon-Cen Huang with:
Soon-Cen Huang Taiwan
Valentina Rossi Italy
Min Feng China
Songshu Xiao China
James Lawrence United States
Bastian Czogalla Germany
Guanghua Chen China
Della Reynolds United States
Olsi Gjyshi United States
Maria Karvela United Kingdom
Eva Morán relative to Soon-Cen Huang Taiwan Soon-Cen Huang's profile →
Citations per field
00.5×3.0×
Soon-Cen Huang · 1×
Citations per year

Countries citing papers authored by Eva Morán

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Morán Line = papers co-authored together Eva Morán links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2007217
2 2009133
3 200874
4 201164
5 200749
6 201041
7 201234
8 201032
9 200927
10 201021
11 201820
12 201020
13 200610
14 20166
15
The role of proteasome in malignant diseases.
20076
16 20095
17
Current standards and future strategies in immunochemotherapy of non-Hodgkin's lymphoma.
20114
18 20163

About Eva Morán

Eva Morán is a scholar working on Physiology, Obstetrics and Gynecology, Toxicology, Geriatrics and Gerontology and Reproductive Medicine, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), PARP inhibition in cancer therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (94 citations), Physiology (74 citations), Obstetrics and Gynecology (90 citations), Reproductive Medicine (64 citations) and Oncology (182 citations). Eva Morán has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alessio Nencioni, Alberto Ballestrero, Timothy He, Heinz Linhart, Eveline J. Steine, Rudolf Jaenisch, Franco Patrone, Haijiang Lin, Mathias Ehrich and Alex Meissner. Their work appears in journals such as PLoS ONE, Blood, Seminars in Hematology, Surgical Oncology and Gynecologic Oncology.

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.

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