Farida Tripodi
Impact in
- Aging top 10%
-
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Metabolism, Diabetes, and Cancer
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
Papers in
-
- Fungal and yeast genetics research 14
- Metabolism, Diabetes, and Cancer 8
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 3
- Microbial Metabolic Engineering and Bioproduction 3
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Paola Coccetti (36 shared papers)Raffaele Nicastro (10 shared papers)Lilia Alberghina (12 shared papers)Veronica Reghellin (7 shared papers)Marco Vanoni (7 shared papers)Gabriella Tedeschi (10 shared papers)Simona Nonnis (6 shared papers)Roberto Pagliarin (5 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (3 papers)Scientific Reports (2 papers)Microbial Cell (2 papers)Cell Reports (2 papers)Bioorganic Chemistry (2 papers)
- Partner nations
- ItalySwitzerlandSweden
In The Last Decade
Farida Tripodi
40 papers receiving 865 citations
Peers
Comparison fields: 5 of 100
- Aging 22
- Molecular Biology 621
- Biochemistry 41
- Cell Biology 88
- Cancer Research 73
Countries citing papers authored by Farida Tripodi
This map shows the geographic impact of Farida Tripodi'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 Farida Tripodi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farida Tripodi more than expected).
Fields of papers citing papers by Farida Tripodi
This network shows the impact of papers produced by Farida Tripodi. 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 Farida Tripodi. The network helps show where Farida Tripodi may publish in the future.
Co-authors
The 25 scholars most cited alongside Farida Tripodi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 79 | |
| 2 | 2014 | 68 | |
| 3 | 2018 | 61 | |
| 4 | 2012 | 56 | |
| 5 | 2015 | 48 | |
| 6 | 2008 | 43 | |
| 7 | 2011 | 43 | |
| 8 | 2022 | 37 | |
| 9 | 2020 | 35 | |
| 10 | 2023 | 32 | |
| 11 | 2022 | 30 | |
| 12 | 2011 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2023 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2007 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2014 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2024 | 14 |
About Farida Tripodi
Farida Tripodi is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Organic Chemistry, having authored 41 papers that have together received 872 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (14 papers), Metabolism, Diabetes, and Cancer (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Plant nutrient uptake and metabolism (3 papers), Microtubule and mitosis dynamics (3 papers), Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Aging (22 citations), Molecular Biology (621 citations), Biochemistry (41 citations), Cell Biology (88 citations) and Cancer Research (73 citations). Farida Tripodi has collaborated with scholars based in Italy, Switzerland and Sweden. Frequent co-authors include Paola Coccetti, Raffaele Nicastro, Lilia Alberghina, Veronica Reghellin, Marco Vanoni, Gabriella Tedeschi, Simona Nonnis, Roberto Pagliarin, Claudia Cirulli and Cristina Airoldi. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Scientific Reports, Microbial Cell, Cell Reports and Bioorganic Chemistry.
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.