Ivano Eberini
Impact in
- Biochemistry top 0.5%
- Sulfur Compounds in Biology
- Amino Acid Enzymes and Metabolism
- Molecular Biology top 2%
- Redox biology and oxidative stress
- Glutathione Transferases and Polymorphisms
- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Protein Structure and Dynamics 15
- Metabolomics and Mass Spectrometry Studies 10
- Receptor Mechanisms and Signaling 7
- Oncology 24
- Drug Transport and Resistance Mechanisms 11
- Co-authors
- Elisabetta Gianazza (81 shared papers)Ingrid Miller (30 shared papers)Robin Wait (18 shared papers)Maddalena Fratelli (8 shared papers)Pietro Ghezzi (8 shared papers)Simona Casagrande (5 shared papers)Chiara Parravicini (28 shared papers)Luca Palazzolo (38 shared papers)
- Journals
- Electrophoresis (14 papers)Journal of Proteomics (11 papers)PLoS ONE (7 papers)PROTEOMICS (7 papers)International Journal of Molecular Sciences (6 papers)
- Partner nations
- ItalyAustriaUnited Kingdom
In The Last Decade
Ivano Eberini
150 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 137
- Biochemistry 587
- Molecular Biology 2.5k
- Clinical Biochemistry 205
- Spectroscopy 439
- Cell Biology 308
Countries citing papers authored by Ivano Eberini
This map shows the geographic impact of Ivano Eberini'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 Ivano Eberini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivano Eberini more than expected).
Fields of papers citing papers by Ivano Eberini
This network shows the impact of papers produced by Ivano Eberini. 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 Ivano Eberini. The network helps show where Ivano Eberini may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivano Eberini, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 474 | |
| 2 | 2002 | 279 | |
| 3 | 2003 | 145 | |
| 4 | 2008 | 143 | |
| 5 | 2004 | 113 | |
| 6 | 2005 | 89 | |
| 7 | 2001 | 86 | |
| 8 | 2002 | 86 | |
| 9 | 2002 | 85 | |
| 10 | 2007 | 83 | |
| 11 | 2001 | 83 | |
| 12 | 2003 | 75 | |
| 13 | 2013 | 70 | |
| 14 | 2004 | 69 | |
| 15 | 2017 | 62 | |
| 16 | 2015 | 57 | |
| 17 | 2003 | 57 | |
| 18 | 2017 | 57 | |
| 19 | 2017 | 57 | |
| 20 | 1998 | 55 |
About Ivano Eberini
Ivano Eberini is a scholar working on Molecular Biology, Oncology, Spectroscopy, Biochemistry and Genetics, having authored 152 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Protein Structure and Dynamics (15 papers), Drug Transport and Resistance Mechanisms (11 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Amino Acid Enzymes and Metabolism (9 papers), Enzyme Structure and Function (9 papers), Metabolism and Genetic Disorders (8 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Biochemistry (587 citations), Molecular Biology (2.5k citations), Clinical Biochemistry (205 citations), Spectroscopy (439 citations) and Cell Biology (308 citations). Ivano Eberini has collaborated with scholars based in Italy, Austria and United Kingdom. Frequent co-authors include Elisabetta Gianazza, Ingrid Miller, Robin Wait, Maddalena Fratelli, Pietro Ghezzi, Simona Casagrande, Chiara Parravicini, Luca Palazzolo, Manfred Gemeiner and Valentina Bonetto. Their work appears in journals such as Electrophoresis, Journal of Proteomics, PLoS ONE, PROTEOMICS and International Journal of Molecular 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.