Lorenzo Testa
Impact in
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- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
Papers in
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- Protein Structure and Dynamics 5
- Fungal and yeast genetics research 2
-
- Enzyme Structure and Function 5
- Co-authors
- Stefania Brocca (5 shared papers)Rita Grandori (5 shared papers)Mária Šamalíková (3 shared papers)Elena Papaleo (2 shared papers)Luca De Gioia (2 shared papers)Lilia Alberghina (2 shared papers)Carlo Santambrogio (2 shared papers)Marina Lotti (2 shared papers)
- Journals
- Biotechnology Journal (1 paper)Pervasive and Mobile Computing (1 paper)Frontiers in Physiology (1 paper)Applied Network Science (1 paper)Scientific Data (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Lorenzo Testa
13 papers receiving 259 citations
Peers
Comparison fields: 5 of 75
- Spectroscopy 65
- Modeling and Simulation 12
- Software 8
- Molecular Biology 122
- Cell Biology 29
Countries citing papers authored by Lorenzo Testa
This map shows the geographic impact of Lorenzo Testa'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 Lorenzo Testa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Testa more than expected).
Fields of papers citing papers by Lorenzo Testa
This network shows the impact of papers produced by Lorenzo Testa. 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 Lorenzo Testa. The network helps show where Lorenzo Testa may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorenzo Testa, 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 | 2011 | 58 | |
| 2 | 2016 | 57 | |
| 3 | 2013 | 34 | |
| 4 | 2021 | 26 | |
| 5 | 2012 | 22 | |
| 6 | 2010 | 18 | |
| 7 | 2010 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2022 | 1 | |
| 13 | 2024 | 1 |
About Lorenzo Testa
Lorenzo Testa is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 260 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (5 papers), Mass Spectrometry Techniques and Applications (3 papers), Fungal and yeast genetics research (2 papers), Modular Robots and Swarm Intelligence (2 papers), demographic modeling and climate adaptation (1 paper), Data-Driven Disease Surveillance (1 paper) and Innovation Policy and R&D (1 paper). The work is most often cited by research in Spectroscopy (65 citations), Modeling and Simulation (12 citations), Software (8 citations), Molecular Biology (122 citations) and Cell Biology (29 citations). Lorenzo Testa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Stefania Brocca, Rita Grandori, Mária Šamalíková, Elena Papaleo, Luca De Gioia, Lilia Alberghina, Carlo Santambrogio, Marina Lotti, Ferruccio Damiani and Francesca Chiaromonte. Their work appears in journals such as Biotechnology Journal, Pervasive and Mobile Computing, Frontiers in Physiology, Applied Network Science and Scientific Data.
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.