Francesco Milella

611 total citations
7 papers, 520 citations indexed

About

Francesco Milella is a scholar working on Molecular Biology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Francesco Milella has authored 7 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Francesco Milella's work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Francesco Milella is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Francesco Milella collaborates with scholars based in Italy and United Kingdom. Francesco Milella's co-authors include Palmiro Cantatore, M. N. Gadaleta, Marina Roberti, Flavio Fracasso, Cecilia Saccone, Graziano Pesole, Angela Maria Serena Lezza, G. Rainaldi, Clara Musicco and Gemma Gadaleta and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Neurobiology of Aging and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

In The Last Decade

Francesco Milella

7 papers receiving 492 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Milella Italy 7 426 165 130 87 78 7 520
G. F. Wassermann Brazil 14 163 0.4× 131 0.8× 54 0.4× 95 1.1× 43 0.6× 30 529
G. Rainaldi Italy 9 406 1.0× 77 0.5× 100 0.8× 33 0.4× 4 0.1× 15 510
Kiichirô Yamamoto Japan 18 173 0.4× 142 0.9× 72 0.6× 398 4.6× 268 3.4× 54 958
J.B. Balinsky South Africa 14 139 0.3× 42 0.3× 41 0.3× 83 1.0× 58 0.7× 25 643
Ling Xue China 13 490 1.2× 53 0.3× 96 0.7× 21 0.2× 14 0.2× 21 620
Peter I. Tack United States 10 222 0.5× 27 0.2× 118 0.9× 355 4.1× 64 0.8× 14 609
Aina Rengmark Norway 9 128 0.3× 106 0.6× 16 0.1× 46 0.5× 23 0.3× 10 324
Arne Sahm Germany 15 281 0.7× 52 0.3× 10 0.1× 20 0.2× 15 0.2× 26 550
Devon L. Johnstone Canada 5 85 0.2× 107 0.6× 34 0.3× 12 0.1× 42 0.5× 7 234
Koji Tominaga Japan 11 98 0.2× 155 0.9× 23 0.2× 69 0.8× 119 1.5× 19 273

Countries citing papers authored by Francesco Milella

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Milella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Milella

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Milella. A scholar is included among the top collaborators of Francesco Milella 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 Francesco Milella. Francesco Milella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Cormio, Antonella, Francesco Milella, Maurizio Marra, et al.. (2009). Variations at the H-strand replication origins of mitochondrial DNA and mitochondrial DNA content in the blood of type 2 diabetes patients. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1787(5). 547–552. 10 indexed citations
2.
Cormio, Antonella, Francesco Milella, Jacopo Vecchiet, et al.. (2004). Mitochondrial DNA mutations in RRF of healthy subjects of different age. Neurobiology of Aging. 26(5). 655–664. 28 indexed citations
3.
Dinardo, Maria Maddalena, Clara Musicco, Flavio Fracasso, et al.. (2003). Acetylation and level of mitochondrial transcription factor A in several organs of young and old rats. Biochemical and Biophysical Research Communications. 301(1). 187–191. 53 indexed citations
4.
Roberti, Marina, Paola Loguercio Polosa, Clara Musicco, et al.. (1999). In vivo mitochondrial DNA-protein interactions in sea urchin eggs and embryos. Current Genetics. 34(6). 449–458. 10 indexed citations
5.
Roberti, Marina, Clara Musicco, Paola Loguercio Polosa, et al.. (1998). Multiple Protein-Binding Sites in the TAS-Region of Human and Rat Mitochondrial DNA. Biochemical and Biophysical Research Communications. 243(1). 36–40. 41 indexed citations
6.
Cantatore, Palmiro, et al.. (1994). Evolutionary analysis of cytochrome b sequences in some perciformes: Evidence for a slower rate of evolution than in mammals. Journal of Molecular Evolution. 39(6). 589–597. 211 indexed citations
7.
Gadaleta, M. N., G. Rainaldi, Angela Maria Serena Lezza, et al.. (1992). Mitochondrial DNA copy number and mitochondrial DNA deletion in adult and senescent rats. Mutation Research/DNAging. 275(3-6). 181–193. 167 indexed citations

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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