F. Dagani

1.3k citations
46 papers · 1.1k · h-index 17

Impact in

Papers in

F. Dagani

45 papers receiving 1.1k citations

Peers

F. Dagani
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 484
  • Clinical Biochemistry 159
  • Neurology 103
  • Biochemistry 87
  • Neurology 143
Replace Takahide Nomura with:
Takahide Nomura Japan
Lalitha Tenneti United States
Gregor Zündorf Germany
Simona Magi Italy
John R. Wherrett Canada
Suzann M. Babb United States
Jameel Dennis United States
Larry C.H. Park United States
Lonnie Schneider United States
Timothy R. Mhyre United States
F. Dagani relative to Takahide Nomura Japan Takahide Nomura's profile →
Citations per field
00.5×1.5×1.9×
Takahide Nomura · 1×
Citations per year

Countries citing papers authored by F. Dagani

Since Specialization
Citations

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

Fields of papers citing papers by F. Dagani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990134
2 1992113
3
Abnormal skeletal and cardiac muscle mitochondria induced by zidovudine (AZT) in human muscle in vitro and in an animal model.
1991100
4 198877
5 198776
6 199164
7 199144
8 198943
9 199234
10 199334
11 199331
12 198030
13 199227
14 199227
15 197819
16 199117
17 198817
18 198616
19 198415
20 197915

About F. Dagani

F. Dagani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Clinical Biochemistry and Neurology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Neuroscience and Neuropharmacology Research (19 papers), Metabolism and Genetic Disorders (10 papers), Diet and metabolism studies (10 papers), Ion channel regulation and function (7 papers), Anesthesia and Neurotoxicity Research (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (484 citations), Clinical Biochemistry (159 citations), Neurology (103 citations), Biochemistry (87 citations) and Neurology (143 citations). F. Dagani has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maria Erecińska, Fulvio Marzatico, Daniela Curti, G. Benzi, R. F. Villa, Jeffrey J. Anderson, David Nelson, O. Pastoris, Lajos Lamperth and Marinos C. Dalakas. Their work appears in journals such as Journal of Neurochemistry, Neurochemical Research, Biochemical Pharmacology, Movement Disorders and Mechanisms of Ageing and Development.

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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