Vera Mugoni

495 citations
8 papers · 382 · h-index 8

Impact in

Papers in

    • Coenzyme Q10 studies and effects 3
    • Mitochondrial Function and Pathology 2
    • Advanced biosensing and bioanalysis techniques 2
    • ATP Synthase and ATPases Research 2
    • Zebrafish Biomedical Research Applications 2

Vera Mugoni

8 papers receiving 374 citations

Peers

Vera Mugoni
Comparison fields: 5 of 73
  • Biochemistry 38
  • Cell Biology 81
  • Nutrition and Dietetics 55
  • Molecular Biology 194
  • Health, Toxicology and Mutagenesis 36
Replace Kan Kageyama with:
Kan Kageyama Japan
Xiaofang Cheng China
Marion Babot France
Lichun Zhou China
Kylie A. Scoggan Canada
Sabine Borchard Germany
Chunliu Pan China
Jixiang Xu China
Sandhya Chipurupalli Australia
Benjamin K. Pannell United States
Vera Mugoni relative to Kan Kageyama Japan Kan Kageyama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vera Mugoni

Since Specialization
Citations

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

Fields of papers citing papers by Vera Mugoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013179
2 201483
3 201140
4 201426
5 201023
6 201513
7 201311
8 20217

About Vera Mugoni

Vera Mugoni is a scholar working on Molecular Biology, Cell Biology, Ecology, Ophthalmology and Oncology, having authored 8 papers that have together received 382 indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (3 papers), Mitochondrial Function and Pathology (2 papers), Zebrafish Biomedical Research Applications (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), ATP Synthase and ATPases Research (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Vitamin K Research Studies (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Biochemistry (38 citations), Cell Biology (81 citations), Nutrition and Dietetics (55 citations), Molecular Biology (194 citations) and Health, Toxicology and Mutagenesis (36 citations). Vera Mugoni has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Massimo Santoro, Annalisa Camporeale, Claudio Medana, Ruben Postel, Elisa De Luca, Michael P. Murphy, Giuseppe Digilio, Valeria Catanzaro, Lorenzo Silengo and Didier Y. R. Stainier. Their work appears in journals such as Journal of Visualized Experiments, Nature Methods, Journal of Chromatography A, Breast Cancer Research and Treatment and Nature Protocols.

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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