Giuseppe Fiermonte
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders 36
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 5
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 42
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 7
- ATP Synthase and ATPases Research 6
- Physiology top 5%
- Adipose Tissue and Metabolism 8
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Ferdinando PalmieriJohn E. WalkerVincenza DolceLuigi PalmieriFrancesco M. LasorsaMichael J. RunswickSimona TodiscoFrancesco De Leonardis
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (10 papers)Nature Genetics (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giuseppe Fiermonte
66 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Clinical Biochemistry 1.5k
- Biochemistry 667
- Molecular Biology 3.0k
- Physiology 549
- Cancer Research 267
Countries citing papers authored by Giuseppe Fiermonte
This map shows the geographic impact of Giuseppe Fiermonte'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 Giuseppe Fiermonte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Fiermonte more than expected).
Fields of papers citing papers by Giuseppe Fiermonte
This network shows the impact of papers produced by Giuseppe Fiermonte. 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 Giuseppe Fiermonte. The network helps show where Giuseppe Fiermonte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giuseppe Fiermonte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 8 | |
| 8 | Hyaluronic Acid: A Powerful Biomolecule with Wide-Ranging Applications—A Comprehensive Reviewbreakdown → | 2023 | 124 |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 19 | |
| 15 | 2019 | 41 | |
| 16 | 2012 | 48 | |
| 17 | 2005 | 115 | |
| 18 | 2003 | 114 | |
| 19 | 2002 | 121 | |
| 20 | 2002 | 170 |
About Giuseppe Fiermonte
Giuseppe Fiermonte is a scholar working on Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 69 papers that have together received 4.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (42 papers), Metabolism and Genetic Disorders (36 papers), RNA and protein synthesis mechanisms (8 papers), Adipose Tissue and Metabolism (8 papers), RNA modifications and cancer (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), ATP Synthase and ATPases Research (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Clinical Biochemistry (1.5k citations), Biochemistry (667 citations) and Molecular Biology (3.0k citations). Giuseppe Fiermonte has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Ferdinando Palmieri, John E. Walker, Vincenza Dolce, Luigi Palmieri, Francesco M. Lasorsa, Michael J. Runswick, Simona Todisco, Francesco De Leonardis, Gennaro Agrimi and Eleonora Paradies. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.