Daniela Diamanti

542 citations
21 papers · 213 · h-index 8

Impact in

Papers in

Daniela Diamanti

21 papers receiving 212 citations

Peers

Daniela Diamanti
Comparison fields: 5 of 59
  • Geriatrics and Gerontology 32
  • Cellular and Molecular Neuroscience 41
  • Molecular Biology 133
  • Equine 3
  • Physiology 8
Replace Gantulga Davaakhuu with:
Gantulga Davaakhuu Japan
Uma Mukherjee United Kingdom
Majid Ghahremani Canada
Ilana B. Kotliar United States
Haite Tang China
Jonathan Belman United States
Yaiza Núñez‐Álvarez Spain
Jonathan Matalonga Spain
Rana Chakrabarti Canada
Jeanne Baker United States
Daniela Diamanti relative to Gantulga Davaakhuu Japan Gantulga Davaakhuu's profile →
Citations per field
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Gantulga Davaakhuu · 1×
Citations per year

Countries citing papers authored by Daniela Diamanti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Diamanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 200834
3 201228
4 201322
5 201614
6 201412
7 201311
8 20138
9 20087
10 20227
11 20136
12 20244
13 20234
14 20232
15 20242
16 20251
17 20241
18 20241
19 20251
20 20121

About Daniela Diamanti

Daniela Diamanti is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Small Animals and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 213 indexed citations. Recurring topics across this work include Blood properties and coagulation (9 papers), Erythrocyte Function and Pathophysiology (5 papers), Animal health and immunology (4 papers), RNA Research and Splicing (3 papers), Genetic Neurodegenerative Diseases (3 papers), Body Composition Measurement Techniques (2 papers), Protein Degradation and Inhibitors (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (32 citations), Cellular and Molecular Neuroscience (41 citations), Molecular Biology (133 citations), Equine (3 citations) and Physiology (8 citations). Daniela Diamanti has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Giuseppe Pollio, Letizia Magnoni, Claus A. Andersen, Andrea Caricasole, Danny Incarnato, Börje Darpö, Francesco Neri, Meijian Zhou, Joseph Chiesa and Salvatore Oliviero. Their work appears in journals such as SLAS DISCOVERY, Veterinary Medicine International, Animals, Biomarker Research and Clinica Chimica Acta.

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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