Gabriele Cruciani
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods 79
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism 17
- Spectroscopy top 0.5%
- Analytical Chemistry and Chromatography 35
- Organic Chemistry top 0.5%
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 21
- Protein Structure and Dynamics 17
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- Spectroscopy and Chemometric Analyses 22
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- Drug Transport and Resistance Mechanisms 16
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- Enzyme Structure and Function 13
- Co-authors
- Manuel PastorMassimo BaroniSérgio ClementiLaura GoracciEmanuele CarosatiPierre‐Alain CarruptBernard TestaPatrizia Crivori
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Blood (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Gabriele Cruciani
217 papers receiving 10.2k citations
Peers
Comparison fields: 5 of 175
- Computational Theory and Mathematics 3.6k
- Pharmacology 975
- Spectroscopy 1.4k
- Organic Chemistry 2.4k
- Molecular Biology 5.0k
Countries citing papers authored by Gabriele Cruciani
This map shows the geographic impact of Gabriele Cruciani'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 Gabriele Cruciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Cruciani more than expected).
Fields of papers citing papers by Gabriele Cruciani
This network shows the impact of papers produced by Gabriele Cruciani. 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 Gabriele Cruciani. The network helps show where Gabriele Cruciani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriele Cruciani, 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 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 35 | |
| 11 | 2021 | 72 | |
| 12 | 2021 | 86 | |
| 13 | 2021 | 68 | |
| 14 | 2020 | 73 | |
| 15 | 2020 | 99 | |
| 16 | 2018 | 18 | |
| 17 | 2018 | 9 | |
| 18 | 2018 | 29 | |
| 19 | 2017 | 26 | |
| 20 | 2016 | 18 |
About Gabriele Cruciani
Gabriele Cruciani is a scholar working on Computational Theory and Mathematics, Spectroscopy and Analytical Chemistry, having authored 223 papers that have together received 10.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (79 papers), Analytical Chemistry and Chromatography (35 papers), Spectroscopy and Chemometric Analyses (22 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Protein Structure and Dynamics (17 papers), Pharmacogenetics and Drug Metabolism (17 papers), Drug Transport and Resistance Mechanisms (16 papers) and Enzyme Structure and Function (13 papers). The work is most often cited by research in Computational Theory and Mathematics (3.6k citations), Pharmacology (975 citations) and Spectroscopy (1.4k citations). Gabriele Cruciani has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Manuel Pastor, Massimo Baroni, Sérgio Clementi, Laura Goracci, Emanuele Carosati, Pierre‐Alain Carrupt, Bernard Testa, Patrizia Crivori, Simone Sciabola and Loriano Storchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.
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.