Davide Ballabio
Impact in
- Analytical Chemistry top 0.1%
- Spectroscopy and Chemometric Analyses
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
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- Spectroscopy and Chemometric Analyses 46
-
- Computational Drug Discovery Methods 42
- Co-authors
- Viviana ConsonniRoberto TodeschiniFrancesca GrisoniAndrea MauriFaizan SahigaraMaria Stella CosioKamel MansouriS. Benedetti
In The Last Decade
Davide Ballabio
115 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Analytical Chemistry 1.6k
- Computational Theory and Mathematics 1.3k
- Biophysics 424
- Spectroscopy 610
- Food Science 575
Countries citing papers authored by Davide Ballabio
This map shows the geographic impact of Davide Ballabio'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 Davide Ballabio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Ballabio more than expected).
Fields of papers citing papers by Davide Ballabio
This network shows the impact of papers produced by Davide Ballabio. 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 Davide Ballabio. The network helps show where Davide Ballabio may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Ballabio, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 37 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 28 | |
| 17 | 2018 | 85 | |
| 18 | 2016 | 9 | |
| 19 | FATTY ACID COMPOSITION OF LIPID CLASSES IN COMMERCIAL BREAST MUSCLE OF CAPONS AS A MARKER OF THE DIETARY FAT SOURCE | 2009 | 1 |
| 20 | The DART (Decision Analysis by Ranking Techniques) software | 2008 | 1 |
About Davide Ballabio
Davide Ballabio is a scholar working on Analytical Chemistry, Computational Theory and Mathematics, Spectroscopy, Statistics and Probability and Physical and Theoretical Chemistry, having authored 122 papers that have together received 5.3k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (46 papers), Computational Drug Discovery Methods (42 papers), Advanced Chemical Sensor Technologies (28 papers), Analytical Chemistry and Chromatography (25 papers), Advanced Statistical Methods and Models (11 papers), Meat and Animal Product Quality (8 papers), Machine Learning in Materials Science (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Analytical Chemistry (1.6k citations), Computational Theory and Mathematics (1.3k citations), Biophysics (424 citations), Spectroscopy (610 citations) and Food Science (575 citations). Davide Ballabio has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Viviana Consonni, Roberto Todeschini, Francesca Grisoni, Andrea Mauri, Faizan Sahigara, Maria Stella Cosio, Kamel Mansouri, S. Benedetti, Mahdi Vasighi and Susanna Buratti. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Analytica Chimica Acta, Journal of Chemometrics, Journal of Chemical Information and Modeling and Molecules.
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.