Ivan Bassanini
- Biotechnology top 10%
-
- Enzyme Catalysis and Immobilization 9
- Steroid Chemistry and Biochemistry 4
- Biochemical and Molecular Research 3
- Chemical Synthesis and Analysis 3
- Plant biochemistry and biosynthesis 3
- Microbial Metabolic Engineering and Bioproduction 3
- Plant-derived Lignans Synthesis and Bioactivity 3
-
- Enzyme-mediated dye degradation 3
- Co-authors
- Sergio RivaDaniela MontiErica Elisa FerrandiXu PengAnna SparatoreNicoletta BasilicoSilvia ParapiniVladimı́r Křen
- Journals
- Angewandte Chemie International Edition (1 paper)International Journal of Molecular Sciences (2 papers)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- ItalySwitzerlandCzechia
In The Last Decade
Ivan Bassanini
32 papers receiving 424 citations
Peers
Comparison fields: 5 of 70
- Biotechnology 78
- Organic Chemistry 117
- Biochemistry 29
- Molecular Biology 230
- Pharmacology 25
Countries citing papers authored by Ivan Bassanini
This map shows the geographic impact of Ivan Bassanini'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 Ivan Bassanini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Bassanini more than expected).
Fields of papers citing papers by Ivan Bassanini
This network shows the impact of papers produced by Ivan Bassanini. 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 Ivan Bassanini. The network helps show where Ivan Bassanini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Bassanini, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 107 | |
| 17 | 2018 | 21 | |
| 18 | 2017 | 14 | |
| 19 | 2017 | 36 | |
| 20 | 2017 | 42 |
About Ivan Bassanini
Ivan Bassanini is a scholar working on Biochemistry, Toxicology and Biotechnology, having authored 35 papers that have together received 427 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (9 papers), Steroid Chemistry and Biochemistry (4 papers), Enzyme-mediated dye degradation (3 papers), Biochemical and Molecular Research (3 papers), Chemical Synthesis and Analysis (3 papers), Plant biochemistry and biosynthesis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Plant-derived Lignans Synthesis and Bioactivity (3 papers). The work is most often cited by research in Biotechnology (78 citations), Organic Chemistry (117 citations) and Biochemistry (29 citations). Ivan Bassanini has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Sergio Riva, Daniela Monti, Erica Elisa Ferrandi, Xu Peng, Anna Sparatore, Nicoletta Basilico, Silvia Parapini, Vladimı́r Křen, Karl Hult and Michele Crotti. Their work appears in journals such as Angewandte Chemie International Edition, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.
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.