Daria Diodato

3.0k citations
44 papers · 1.2k · h-index 18

Impact in

Papers in

    • Mitochondrial Function and Pathology 26
    • ATP Synthase and ATPases Research 9
    • RNA modifications and cancer 6
    • RNA and protein synthesis mechanisms 3
    • Metabolism and Genetic Disorders 16

Daria Diodato

43 papers receiving 1.2k citations

Peers

Daria Diodato
Comparison fields: 5 of 82
  • Clinical Biochemistry 466
  • Rheumatology 200
  • Molecular Biology 809
  • Biochemistry 65
  • Aging 9
Replace Saba Tadesse with:
Saba Tadesse United States
K Naess Sweden
Langping He United Kingdom
Ivo Barić Croatia
Anna Ardissone Italy
Alessandra Maresca Italy
Nataliya Povalko Japan
Inés García‐Consuegra Spain
Ángeles García‐Cazorla Spain
Lynne A. Wolfe United States
Daria Diodato relative to Saba Tadesse United States Saba Tadesse's profile →
Citations per field
00.5×1.5×1.8×
Saba Tadesse · 1×
Citations per year

Countries citing papers authored by Daria Diodato

Since Specialization
Citations

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

Fields of papers citing papers by Daria Diodato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016187
2 2011132
3 2014106
4 201472
5 201558
6 201853
7 201553
8 201647
9 201445
10 201039
11 201335
12 201635
13 200935
14 201829
15 201424
16 201623
17 201720
18 202119
19 201816
20 201516

About Daria Diodato

Daria Diodato is a scholar working on Molecular Biology, Clinical Biochemistry, Rheumatology, Cellular and Molecular Neuroscience and Biochemistry, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (26 papers), Metabolism and Genetic Disorders (16 papers), ATP Synthase and ATPases Research (9 papers), RNA modifications and cancer (6 papers), Genetic Neurodegenerative Diseases (5 papers), Folate and B Vitamins Research (4 papers), RNA and protein synthesis mechanisms (3 papers) and Glycogen Storage Diseases and Myoclonus (3 papers). The work is most often cited by research in Clinical Biochemistry (466 citations), Rheumatology (200 citations), Molecular Biology (809 citations), Biochemistry (65 citations) and Aging (9 citations). Daria Diodato has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Daniele Ghezzi, Valeria Tiranti, Carlo Dionisi‐Vici, Sara Boenzi, Enrico Bertini, Massimo Zeviani, Diego Martinelli, Costanza Lamperti, Rosalba Carrozzo and Daniela Verrigni. Their work appears in journals such as Orphanet Journal of Rare Diseases, Neuromuscular Disorders, Neuroradiology, Human Molecular Genetics and Journal of Inherited Metabolic Disease.

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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