F. Dagani

1.3k citations
47 papers · 1.2k · h-index 18

Impact in

Papers in

F. Dagani

46 papers receiving 1.1k citations

Peers

F. Dagani
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 499
  • Clinical Biochemistry 179
  • Neurology 111
  • Biochemistry 89
  • Neurology 148
Replace Irene B. Hopkins with:
Irene B. Hopkins United States
Jun‐ichi Kakimura Japan
S S Sheu United States
Tatiana Brustovetsky United States
Estefanía Núñez Spain
David B. McDougal United States
David D. Gilboe United States
M. Ledig France
Simona Magi Italy
A.W. Teelken Netherlands
F. Dagani relative to Irene B. Hopkins United States Irene B. Hopkins's profile →
Citations per field
00.5×1.5×
Irene B. Hopkins · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990143
2 1992122
3
Abnormal skeletal and cardiac muscle mitochondria induced by zidovudine (AZT) in human muscle in vitro and in an animal model.
1991107
4 198883
5 198777
6 199167
7 199150
8 198944
9 199238
10 199338
11 198033
12 199331
13 199229
14 199229
15 197921
16 197819
17 198818
18 199118
19 198616
20 198416

About F. Dagani

F. Dagani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Clinical Biochemistry and Neurology, having authored 47 papers that have together received 1.2k 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), High Altitude and Hypoxia (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (499 citations), Clinical Biochemistry (179 citations), Neurology (111 citations), Biochemistry (89 citations) and Neurology (148 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, O. Pastoris, David Nelson, Marinos C. Dalakas and Rodrigo Ferrari. Their work appears in journals such as Journal of Neurochemistry, Neurochemical Research, Biochemical Pharmacology, Mechanisms of Ageing and Development and Movement Disorders.

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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