Sergio Riva
Impact in
- Biotechnology top 0.1%
- Microbial Metabolism and Applications
- Enzyme Production and Characterization
- Molecular Biology top 1%
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Enzyme Production and Characterization 26
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- Enzyme Catalysis and Immobilization 110
- Microbial Metabolic Engineering and Bioproduction 30
- Steroid Chemistry and Biochemistry 26
- Glycosylation and Glycoproteins Research 16
- Co-authors
- Giacomo Carrea (59 shared papers)Gianluca Ottolina (33 shared papers)Bruno Danieli (52 shared papers)Daniela Monti (55 shared papers)Kurt Faber (2 shared papers)Alexander M. Klibanov (2 shared papers)Francesco Secundo (15 shared papers)Roberto Bovara (14 shared papers)
In The Last Decade
Sergio Riva
211 papers receiving 7.8k citations
Sergio Riva's Hit Papers
Peers
Comparison fields: 5 of 120
- Biotechnology 1.6k
- Molecular Biology 5.3k
- Organic Chemistry 2.2k
- Pharmacology 580
- Spectroscopy 1.0k
Countries citing papers authored by Sergio Riva
This map shows the geographic impact of Sergio Riva'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 Sergio Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Riva more than expected).
Fields of papers citing papers by Sergio Riva
This network shows the impact of papers produced by Sergio Riva. 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 Sergio Riva. The network helps show where Sergio Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Riva, 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 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Laccases: blue enzymes for green chemistry Hit paper breakdown → | 2006 | 1075 |
| 2 | 2000 | 634 | |
| 3 | 1988 | 406 | |
| 4 | 1995 | 272 | |
| 5 | 1992 | 222 | |
| 6 | 2011 | 204 | |
| 7 | 2003 | 139 | |
| 8 | 1992 | 130 | |
| 9 | 2020 | 114 | |
| 10 | 2004 | 102 | |
| 11 | 1989 | 97 | |
| 12 | 2007 | 94 | |
| 13 | 1997 | 92 | |
| 14 | 1991 | 84 | |
| 15 | 2005 | 83 | |
| 16 | 1992 | 81 | |
| 17 | 2001 | 76 | |
| 18 | 1993 | 75 | |
| 19 | 2011 | 72 | |
| 20 | 2013 | 71 |
About Sergio Riva
Sergio Riva is a scholar working on Biotechnology, Molecular Biology, Organic Chemistry, Pharmacology and Spectroscopy, having authored 215 papers that have together received 8.3k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (110 papers), Carbohydrate Chemistry and Synthesis (33 papers), Microbial Metabolic Engineering and Bioproduction (30 papers), Analytical Chemistry and Chromatography (27 papers), Enzyme Production and Characterization (26 papers), Steroid Chemistry and Biochemistry (26 papers), Enzyme-mediated dye degradation (22 papers) and Glycosylation and Glycoproteins Research (16 papers). The work is most often cited by research in Biotechnology (1.6k citations), Molecular Biology (5.3k citations), Organic Chemistry (2.2k citations), Pharmacology (580 citations) and Spectroscopy (1.0k citations). Sergio Riva has collaborated with scholars based in Italy, Czechia and Austria. Frequent co-authors include Giacomo Carrea, Gianluca Ottolina, Bruno Danieli, Daniela Monti, Kurt Faber, Alexander M. Klibanov, Francesco Secundo, Roberto Bovara, Erica Elisa Ferrandi and Joël Chopineau. Their work appears in journals such as Tetrahedron Asymmetry, Journal of Molecular Catalysis B Enzymatic, Advanced Synthesis & Catalysis, The Journal of Organic Chemistry and Tetrahedron.
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.