Danilo Faccenda

1.2k citations
20 papers · 731 indexed · h-index 12
Topics
ATP Synthase and ATPases Research (9 papers)Mitochondrial Function and Pathology (7 papers)Cardiac pacing and defibrillation studies (3 papers)

In The Last Decade

Danilo Faccenda

17 papers receiving 727 citations

Peers

Danilo Faccenda
Comparison fields: 5 of 69
  • Molecular Biology 568
  • Epidemiology 220
  • Cancer Research 162
  • Cell Biology 100
  • Physiology 74
Replace Jacqueline Tait-Mulder with:
Jacqueline Tait-Mulder United Kingdom
Matteo Giovarelli Italy
Walid Mahfouf France
Mohamed A. Eldeeb Canada
Soung Jung Kim South Korea
Sun Mi Hong South Korea
Lauren E. Drake United States
Jonathan P. Bernardini Australia
Marion Bergmann Germany
Justine Lebeau France
Danilo Faccenda relative to Jacqueline Tait-Mulder United Kingdom Jacqueline Tait-Mulder's profile →
Citations per field
00.5×1.5×
Jacqueline Tait-Mulder · 1×
Citations per year

Countries citing papers authored by Danilo Faccenda

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Faccenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Faccenda

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Faccenda. A scholar is included among the top collaborators of Danilo Faccenda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danilo Faccenda. Danilo Faccenda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 0
6 1
7 13
8 77
9 12
10 11
11 3
12 16
13 135
14 7
15 63
16 26
17 71
18 219
19 25
20 50

About Danilo Faccenda

Danilo Faccenda is a scholar working on Physiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 731 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (9 papers), Mitochondrial Function and Pathology (7 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Cancer Research (162 citations), Physiology (42 citations) and Molecular Biology (568 citations). Danilo Faccenda has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Michelangelo Campanella, Aarti Singh, Mauro Piacentini, Sebastian Brandner, Michael R. Duchen, Sara Galavotti, Paolo Salomoni, Chris Jones, Stefano Bartesaghi and Richard Grose. Their work appears in journals such as Oncogene, The FASEB Journal and Cell Death and Differentiation.

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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