Mario Romani

1.9k total citations · 2 hit papers
21 papers, 1.4k citations indexed

About

Mario Romani is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Mario Romani has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Physiology. Recurrent topics in Mario Romani's work include Drug Transport and Resistance Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). Mario Romani is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Mitochondrial Function and Pathology (4 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). Mario Romani collaborates with scholars based in Switzerland, Italy and Denmark. Mario Romani's co-authors include Johan Auwerx, Dina Hofer, Elena Katsyuba, Vincenzo Sorrentino, Davide D’Amico, Francesca Potenza, Hongbo Zhang, Scott Counts, Norman Moullan and Adrien W. Schmid and has published in prestigious journals such as Nature, Molecular Cell and Gastroenterology.

In The Last Decade

Mario Romani

20 papers receiving 1.3k citations

Hit Papers

Enhancing mitochondrial proteostasis reduces amyloid-β pr... 2017 2026 2020 2023 2017 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Romani Switzerland 14 680 396 255 234 170 21 1.4k
Dou Yeon Youn United States 11 497 0.7× 444 1.1× 347 1.4× 632 2.7× 271 1.6× 13 1.3k
Karthikeyani Chellappa United States 17 645 0.9× 328 0.8× 273 1.1× 554 2.4× 355 2.1× 20 1.5k
Ralph R. Alcendor United States 9 729 1.1× 608 1.5× 437 1.7× 874 3.7× 170 1.0× 9 1.7k
Jinling Hou United States 23 994 1.5× 277 0.7× 227 0.9× 385 1.6× 192 1.1× 28 1.7k
J. Daniel Pennington United States 10 1.1k 1.6× 665 1.7× 607 2.4× 1.1k 4.7× 180 1.1× 14 2.0k
Cristina Travelli Italy 22 628 0.9× 190 0.5× 325 1.3× 415 1.8× 463 2.7× 43 1.7k
Tianle Yang United States 8 851 1.3× 744 1.9× 562 2.2× 1.3k 5.4× 448 2.6× 11 2.2k
Adamo Valle Spain 25 860 1.3× 600 1.5× 352 1.4× 117 0.5× 165 1.0× 41 1.8k
Cristina Sánchez‐Ramos Spain 15 704 1.0× 235 0.6× 184 0.7× 113 0.5× 61 0.4× 19 1.3k
Tae Hwan Kwak South Korea 20 608 0.9× 167 0.4× 104 0.4× 135 0.6× 98 0.6× 42 1.2k

Countries citing papers authored by Mario Romani

Since Specialization
Citations

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

Fields of papers citing papers by Mario Romani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Romani

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Romani. A scholar is included among the top collaborators of Mario Romani 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 Mario Romani. Mario Romani 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
1.
Romani, Mario, Julien Wegrzyn, Jürgen Brinckmann, et al.. (2024). Inhibiting Lysyl Oxidases prevents pathologic cartilage calcification. Biomedicine & Pharmacotherapy. 171. 116075–116075. 4 indexed citations
2.
Nasi, Sonia, Mario Romani, & Nathalie Busso. (2024). Age-Associated Calcification: Insights from Murine Models. 2(3). 236–251. 3 indexed citations
3.
Burtscher, Johannes, Mario Romani, Traian Popa, et al.. (2022). Boosting mitochondrial health to counteract neurodegeneration. Progress in Neurobiology. 215. 102289–102289. 23 indexed citations
4.
Romani, Mario, Mette M. Berger, & Patrizia D’Amelio. (2022). From the Bench to the Bedside: Branched Amino Acid and Micronutrient Strategies to Improve Mitochondrial Dysfunction Leading to Sarcopenia. Nutrients. 14(3). 483–483. 21 indexed citations
5.
Wohlwend, Martin, Pirkka‐Pekka Laurila, Kristine Williams, et al.. (2021). The exercise-induced long noncoding RNA CYTOR promotes fast-twitch myogenesis in aging. Science Translational Medicine. 13(623). eabc7367–eabc7367. 40 indexed citations
6.
Romani, Mario & Johan Auwerx. (2021). Phalloidin Staining of Actin Filaments for Visualization of Muscle Fibers in Caenorhabditis elegans. BIO-PROTOCOL. 11(19). e4183–e4183. 14 indexed citations
7.
Romani, Mario, Vincenzo Sorrentino, Chang‐Myung Oh, et al.. (2021). NAD+ boosting reduces age-associated amyloidosis and restores mitochondrial homeostasis in muscle. Cell Reports. 34(3). 108660–108660. 57 indexed citations
8.
Katsyuba, Elena, Mario Romani, Dina Hofer, & Johan Auwerx. (2020). NAD+ homeostasis in health and disease. Nature Metabolism. 2(1). 9–31. 411 indexed citations breakdown →
9.
Romani, Mario, Dina Hofer, Elena Katsyuba, & Johan Auwerx. (2019). Niacin: an old lipid drug in a new NAD+ dress. Journal of Lipid Research. 60(4). 741–746. 51 indexed citations
10.
D’Amico, Davide, Adrienne Mottis, Francesca Potenza, et al.. (2019). The RNA-Binding Protein PUM2 Impairs Mitochondrial Dynamics and Mitophagy During Aging. Molecular Cell. 73(4). 775–787.e10. 117 indexed citations
11.
Sorrentino, Vincenzo, Mario Romani, Laurent Mouchiroud, et al.. (2017). Enhancing mitochondrial proteostasis reduces amyloid-β proteotoxicity. Nature. 552(7684). 187–193. 499 indexed citations breakdown →
12.
Gıorgı, Mario, Mario Romani, Marco Bagliacca, & G Mengozzi. (2000). Determination of thiamphenicol residues in albumin and yolk of hen eggs. Journal of Veterinary Pharmacology and Therapeutics. 23(6). 397–399. 14 indexed citations
13.
Giorgi, Marcella De, Mario Romani, Marco Bagliacca, & G Mengozzi. (2000). Determination of thiamphenicol residues in albumin and yolk of hen eggs. Journal of Veterinary Pharmacology and Therapeutics. 23(6). 397–399. 4 indexed citations
14.
Loria, Paola, Maria Eugenia Guicciardi, Francesca Carubbi, et al.. (1997). Effect of taurohyodeoxycholic acid on biliary lipid secretion in humans. Hepatology. 25(6). 1306–1314. 18 indexed citations
15.
Angélico, M., Marco Bertolotti, Francesca Carubbi, et al.. (1996). Effect of taurohyodeoxycholic acid on biliary lipid secretion in man: preliminary report.. PubMed. 28(7). 391–2. 3 indexed citations
16.
Loria, Paola, Nicola Carulli, Alberto Tripodi, et al.. (1989). Determinants of bile secretion: Effect of bile salt structure on bile flow and biliary cation secretion. Gastroenterology. 96(4). 1142–1150. 22 indexed citations
17.
Carulli, Nicola, et al.. (1983). Regulation of cholesterol absorption by bile acids: role of deoxycholic and cholic acid pool expansion on dietary cholesterol absorption. 15. 86–93. 7 indexed citations
18.
Romani, Mario, et al.. (1982). Storia economica d'Italia nel secolo XIX (1815-1882). 13 indexed citations
20.
Romani, Mario. (1977). Aspetti e problemi di storia economica lombarda nei secoli XVIII e XIX : scritti riediti in memoria.

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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