Daniela Ubiali
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Molecular Biology top 10%
- Enzyme Catalysis and Immobilization
- Biochemical and Molecular Research
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Enzyme Catalysis and Immobilization 30
- Biochemical and Molecular Research 25
- Microbial Metabolic Engineering and Bioproduction 11
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- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Marco Terreni (34 shared papers)Teodora Bavaro (31 shared papers)Immacolata Serra (18 shared papers)Massimo Pregnolato (19 shared papers)Giovanna Speranza (28 shared papers)José M. Guisán (6 shared papers)Roberto Fernández‐Lafuente (6 shared papers)Alessandra M. Albertini (9 shared papers)
In The Last Decade
Daniela Ubiali
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Physiology 128
- Molecular Biology 1.1k
- Biotechnology 112
- Organic Chemistry 320
- Infectious Diseases 207
Countries citing papers authored by Daniela Ubiali
This map shows the geographic impact of Daniela Ubiali'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 Daniela Ubiali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ubiali more than expected).
Fields of papers citing papers by Daniela Ubiali
This network shows the impact of papers produced by Daniela Ubiali. 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 Daniela Ubiali. The network helps show where Daniela Ubiali may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ubiali, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 91 | |
| 2 | 2001 | 55 | |
| 3 | 2004 | 52 | |
| 4 | 2004 | 49 | |
| 5 | 2017 | 45 | |
| 6 | 2000 | 42 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 36 | |
| 9 | 2013 | 36 | |
| 10 | 2012 | 34 | |
| 11 | 2000 | 34 | |
| 12 | 2022 | 32 | |
| 13 | 2015 | 31 | |
| 14 | 2007 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2012 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 1999 | 27 | |
| 20 | 2018 | 27 |
About Daniela Ubiali
Daniela Ubiali is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Biomedical Engineering and Infectious Diseases, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (30 papers), Biochemical and Molecular Research (25 papers), Adenosine and Purinergic Signaling (11 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Analytical Chemistry and Chromatography (7 papers), Carbohydrate Chemistry and Synthesis (7 papers), Amino Acid Enzymes and Metabolism (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Physiology (128 citations), Molecular Biology (1.1k citations), Biotechnology (112 citations), Organic Chemistry (320 citations) and Infectious Diseases (207 citations). Daniela Ubiali has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Marco Terreni, Teodora Bavaro, Immacolata Serra, Massimo Pregnolato, Giovanna Speranza, José M. Guisán, Roberto Fernández‐Lafuente, Alessandra M. Albertini, Marco Rabuffetti and Carlo F. Morelli. Their work appears in journals such as ChemCatChem, Advanced Synthesis & Catalysis, RSC Advances, Journal of Medicinal Chemistry and Journal of Molecular Catalysis B Enzymatic.
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.