Elva Morretta

770 citations
38 papers · 421 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • S100 Proteins and Annexins 3
    • Drug Transport and Resistance Mechanisms 6
    • Peptidase Inhibition and Analysis 3
    • Cytokine Signaling Pathways and Interactions 3

Elva Morretta

36 papers receiving 420 citations

Peers

Elva Morretta
Comparison fields: 5 of 62
  • Hepatology 44
  • Oncology 133
  • Physiology 21
  • Epidemiology 97
  • Molecular Biology 174
Replace Ahmed A. Ashour with:
Ahmed A. Ashour Egypt
Amanda Garrido Spain
Rongli You China
Nianping Chen China
Amr Soliman Moustafa United States
Anna J. Zoltoski United States
Ya‐Fang Huang Taiwan
Tiffany Cho Canada
Qixing Tan China
Jiangning Gu China
Elva Morretta relative to Ahmed A. Ashour Egypt Ahmed A. Ashour's profile →
Citations per field
00.5×2×3.3×
Ahmed A. Ashour · 1×
Citations per year

Countries citing papers authored by Elva Morretta

Since Specialization
Citations

This map shows the geographic impact of Elva Morretta'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 Elva Morretta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elva Morretta more than expected).

Fields of papers citing papers by Elva Morretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elva Morretta. 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 Elva Morretta. The network helps show where Elva Morretta may publish in the future.

Co-authors

The 25 scholars most cited alongside Elva Morretta, 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 Elva Morretta Line = papers co-authored together Elva Morretta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 202036
3 201926
4 202325
5 202222
6 201721
7 201919
8 201918
9 202218
10 202115
11 202114
12 202212
13 202011
14 202311
15 202311
16 202210
17 202110
18 202310
19 20249
20 20219

About Elva Morretta

Elva Morretta is a scholar working on Molecular Biology, Oncology, Epidemiology, Pharmacology and Hepatology, having authored 38 papers that have together received 421 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Ubiquitin and proteasome pathways (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Peptidase Inhibition and Analysis (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), S100 Proteins and Annexins (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Hepatology (44 citations), Oncology (133 citations), Physiology (21 citations), Epidemiology (97 citations) and Molecular Biology (174 citations). Elva Morretta has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Maria Chiara Monti, Stefano Fiorucci, Eleonora Distrutti, Angela Zampella, Michele Biagioli, Cristina Di Giorgio, Martina Bordoni, Silvia Marchianò, Rosalinda Roselli and Silvana Morello. Their work appears in journals such as Bioorganic Chemistry, Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Biomolecules.

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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