Fiorella Marcheselli
- Molecular Biology top 10%
- Physiology top 5%
- Endocrine and Autonomic Systems top 1%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Rina RecchioniCarlo PieriFausto MoroniMaurizio MarraOlivieri FabiolaAntonio Domenico ProcopioRoberto AntonicelliRaffaella Lazzarini
- Topics
- MicroRNA in disease regulation (9 papers)Telomeres, Telomerase, and Senescence (7 papers)Adipose Tissue and Metabolism (7 papers)
- Journals
- Scientific ReportsBiochemical and Biophysical Research CommunicationsAnnals of the New York Academy of Sciences
- Partner nations
- ItalyUnited StatesHungary
In The Last Decade
Fiorella Marcheselli
56 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 734
- Physiology 583
- Endocrine and Autonomic Systems 523
- Cancer Research 433
- Immunology 253
Countries citing papers authored by Fiorella Marcheselli
This map shows the geographic impact of Fiorella Marcheselli'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 Fiorella Marcheselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiorella Marcheselli more than expected).
Fields of papers citing papers by Fiorella Marcheselli
This network shows the impact of papers produced by Fiorella Marcheselli. 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 Fiorella Marcheselli. The network helps show where Fiorella Marcheselli may publish in the future.
Co-authorship network of co-authors of Fiorella Marcheselli
This figure shows the co-authorship network connecting the top 25 collaborators of Fiorella Marcheselli. A scholar is included among the top collaborators of Fiorella Marcheselli 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 Fiorella Marcheselli. Fiorella Marcheselli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 129 | |
| 3 | 17 | |
| 4 | 192 | |
| 5 | 39 | |
| 6 | 14 | |
| 7 | 10 | |
| 8 | 37 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 11 | |
| 12 | 97 | |
| 13 | Melatonin: A peroxyl radical scavenger more effective than vitamin Ebreakdown → | 647 |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | Rabbit cholesterol-rich serum decreases the β-adrenergic receptor density of human lymphocytes without altering membrane microviscosity | 1 |
| 19 | 20 | |
| 20 | 9 |
About Fiorella Marcheselli
Fiorella Marcheselli is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Telomeres, Telomerase, and Senescence (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (523 citations), Aging (112 citations) and Cancer Research (433 citations). Fiorella Marcheselli has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Rina Recchioni, Carlo Pieri, Fausto Moroni, Maurizio Marra, Olivieri Fabiola, Antonio Domenico Procopio, Roberto Antonicelli, Raffaella Lazzarini, Maria Rita Rippo and Angela Marie Abbatecola. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.
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.