Laura Goracci
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Surfactants and Colloidal Systems
- Synthesis and Characterization of Heterocyclic Compounds
Papers in
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- Computational Drug Discovery Methods 25
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- Surfactants and Colloidal Systems 11
- Edible Oils Quality and Analysis 6
- Co-authors
- Gabriele Cruciani (51 shared papers)Jenny Desantis (19 shared papers)Aurora Valeri (8 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)Journal of Chemical Information and Modeling (4 papers)Analytical Chemistry (4 papers)
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Laura Goracci
113 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 588
- Organic Chemistry 682
- Catalysis 71
- Pharmacology 134
- Molecular Biology 864
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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 146 | |
| 2 | 2014 | 129 | |
| 3 | 2020 | 124 | |
| 4 | 2012 | 113 | |
| 5 | 2010 | 111 | |
| 6 | 2017 | 105 | |
| 7 | 2015 | 87 | |
| 8 | 2021 | 83 | |
| 9 | 2015 | 80 | |
| 10 | 2002 | 79 | |
| 11 | 2012 | 78 | |
| 12 | 2009 | 71 | |
| 13 | 2016 | 71 | |
| 14 | 2016 | 71 | |
| 15 | 2022 | 65 | |
| 16 | 2014 | 57 | |
| 17 | 2016 | 57 | |
| 18 | 2019 | 57 | |
| 19 | 2019 | 54 | |
| 20 | 2022 | 50 |
About Laura Goracci
Laura Goracci is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Biology, Pharmacology and Catalysis, having authored 126 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (25 papers), Metabolomics and Mass Spectrometry Studies (18 papers), Surfactants and Colloidal Systems (11 papers), Protein Degradation and Inhibitors (9 papers), Influenza Virus Research Studies (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Ionic liquids properties and applications (7 papers) and Edible Oils Quality and Analysis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (588 citations), Organic Chemistry (682 citations), Catalysis (71 citations), Pharmacology (134 citations) and Molecular Biology (864 citations). Laura Goracci has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Gabriele Cruciani, Jenny Desantis, Aurora Valeri, 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, Journal of Chemical Information and Modeling and Analytical Chemistry.
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.