Laura Goracci
Impact in
- Organic Chemistry top 2%
- Surfactants and Colloidal Systems
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- Computational Drug Discovery Methods
Papers in
- Spectroscopy 24
- Analytical Chemistry and Chromatography 20
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- Metabolomics and Mass Spectrometry Studies 22
- Protein Degradation and Inhibitors 8
- Lipid Membrane Structure and Behavior 7
- Co-authors
- Gabriele Cruciani (51 shared papers)Aurora Valeri (8 shared papers)Jenny Desantis (18 shared papers)Massimo Baroni (9 shared papers)Arianna Loregian (14 shared papers)Raimondo Germani (17 shared papers)Gianfranco Savelli (11 shared papers)Beatrice Mercorelli (11 shared papers)
- Journals
- Journal of Medicinal Chemistry (13 papers)European Journal of Medicinal Chemistry (12 papers)Langmuir (5 papers)Analytical Chemistry (4 papers)Journal of Chemical Information and Modeling (4 papers)
- Partner nations
- ItalyUnited KingdomPortugal
In The Last Decade
Laura Goracci
112 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 140
- Organic Chemistry 743
- Computational Theory and Mathematics 445
- Molecular Biology 1.6k
- Spectroscopy 386
- Pharmacology 157
Countries citing papers authored by Laura Goracci
This map shows the geographic impact of Laura Goracci'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 Laura Goracci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Goracci more than expected).
Fields of papers citing papers by Laura Goracci
This network shows the impact of papers produced by Laura Goracci. 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 Laura Goracci. The network helps show where Laura Goracci may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Goracci, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 145 | |
| 2 | 2014 | 127 | |
| 3 | 2020 | 120 | |
| 4 | 2012 | 115 | |
| 5 | 2010 | 111 | |
| 6 | 2017 | 103 | |
| 7 | 2015 | 85 | |
| 8 | 2021 | 82 | |
| 9 | 2015 | 80 | |
| 10 | 2002 | 78 | |
| 11 | 2012 | 76 | |
| 12 | 2009 | 71 | |
| 13 | 2016 | 70 | |
| 14 | 2016 | 70 | |
| 15 | 2022 | 64 | |
| 16 | 2014 | 57 | |
| 17 | 2016 | 57 | |
| 18 | 2019 | 56 | |
| 19 | 2019 | 54 | |
| 20 | 2017 | 49 |
About Laura Goracci
Laura Goracci is a scholar working on Spectroscopy, Molecular Biology, Organic Chemistry, Computational Theory and Mathematics and Oncology, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (22 papers), Computational Drug Discovery Methods (21 papers), Analytical Chemistry and Chromatography (20 papers), Protein Degradation and Inhibitors (8 papers), Influenza Virus Research Studies (8 papers), Lipid Membrane Structure and Behavior (7 papers), Surfactants and Colloidal Systems (7 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Organic Chemistry (743 citations), Computational Theory and Mathematics (445 citations), Molecular Biology (1.6k citations), Spectroscopy (386 citations) and Pharmacology (157 citations). Laura Goracci has collaborated with scholars based in Italy, United Kingdom and Portugal. Frequent co-authors include Gabriele Cruciani, Aurora Valeri, Jenny Desantis, Massimo Baroni, Arianna Loregian, Raimondo Germani, Gianfranco Savelli, Beatrice Mercorelli, Roberto Maria Pellegrino and Alessandra Di Veroli. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Langmuir, Analytical Chemistry and Journal of Chemical Information and Modeling.
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.