Mario Rippa
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in ⓘ
- Biochemistry 27
- Amino Acid Enzymes and Metabolism 25
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- Metabolism and Genetic Disorders 23
- Co-authors
- S. Pontremoli (12 shared papers)Marco Signorini (21 shared papers)Franco Dallocchio (21 shared papers)Stefania Hanau (11 shared papers)Tiziana Bellini (6 shared papers)Enrico Grazi (2 shared papers)Michael P. Barrett (3 shared papers)Pier Paolo Giovannini (4 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (15 papers)Journal of Biological Chemistry (5 papers)European Journal of Biochemistry (4 papers)FEBS Letters (3 papers)Biochemical Journal (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Mario Rippa
52 papers receiving 892 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 389
- Clinical Biochemistry 263
- Pharmaceutical Science 53
- Molecular Biology 583
- Cell Biology 134
Countries citing papers authored by Mario Rippa
This map shows the geographic impact of Mario Rippa'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 Rippa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Rippa more than expected).
Fields of papers citing papers by Mario Rippa
This network shows the impact of papers produced by Mario Rippa. 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 Rippa. The network helps show where Mario Rippa may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Rippa, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1967 | 109 | |
| 2 | 1965 | 62 | |
| 3 | 1969 | 58 | |
| 4 | 1967 | 40 | |
| 5 | 1996 | 39 | |
| 6 | 1976 | 37 | |
| 7 | 1998 | 36 | |
| 8 | 1967 | 36 | |
| 9 | 1966 | 32 | |
| 10 | 1970 | 32 | |
| 11 | 1975 | 31 | |
| 12 | 1968 | 30 | |
| 13 | 1981 | 25 | |
| 14 | 2011 | 25 | |
| 15 | 1975 | 24 | |
| 16 | 1965 | 23 | |
| 17 | 1965 | 23 | |
| 18 | 1973 | 20 | |
| 19 | 1981 | 20 | |
| 20 | 1979 | 19 |
About Mario Rippa
Mario Rippa is a scholar working on Biochemistry, Clinical Biochemistry, Pharmaceutical Science, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (25 papers), Metabolism and Genetic Disorders (23 papers), Enzyme Structure and Function (13 papers), Biochemical and Molecular Research (10 papers), Diet, Metabolism, and Disease (6 papers), Chemical Reactions and Isotopes (6 papers), Neonatal Health and Biochemistry (5 papers) and Enzyme function and inhibition (5 papers). The work is most often cited by research in Biochemistry (389 citations), Clinical Biochemistry (263 citations), Pharmaceutical Science (53 citations), Molecular Biology (583 citations) and Cell Biology (134 citations). Mario Rippa has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include S. Pontremoli, Marco Signorini, Franco Dallocchio, Stefania Hanau, Tiziana Bellini, Enrico Grazi, Michael P. Barrett, Pier Paolo Giovannini, Serena Traniello and B.L. Horecker. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, European Journal of Biochemistry, FEBS Letters and Biochemical Journal.
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.