Laura Friggeri
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility 5
- Tuberculosis Research and Epidemiology 2
- Organic Chemistry top 10%
- Synthesis and Biological Evaluation 5
- Synthesis and biological activity 2
- Catalytic C–H Functionalization Methods 2
- Pharmacology top 5%
- Pharmacology top 10%
- Toxicology top 10%
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- Research on Leishmaniasis Studies 3
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- Trypanosoma species research and implications 3
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- Computational Drug Discovery Methods 2
- Co-authors
- Galina I. LepeshevaTatiana Y. HargroveZ. WawrzakF. Peter GuengerichMichael R. WatermanAidong QiWilliam J. HoekstraRobert J. Schotzinger
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Medicinal Chemistry (5 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Laura Friggeri
17 papers receiving 729 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Infectious Diseases 218
- Organic Chemistry 315
- Pharmacology 82
- Pharmacology 124
- Toxicology 19
Countries citing papers authored by Laura Friggeri
This map shows the geographic impact of Laura Friggeri'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 Friggeri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Friggeri more than expected).
Fields of papers citing papers by Laura Friggeri
This network shows the impact of papers produced by Laura Friggeri. 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 Friggeri. The network helps show where Laura Friggeri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Friggeri, 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 | 2024 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2019 | 29 | |
| 4 | 2018 | 8 | |
| 5 | 2018 | 96 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 41 | |
| 8 | Structural analyses of Candida albicans sterol 14α-demethylase complexed with azole drugs address the molecular basis of azole-mediated inhibition of fungal sterol biosynthesisbreakdown → | 2017 | 317 |
| 9 | 2016 | 50 | |
| 10 | 2016 | 22 | |
| 11 | 2014 | 58 | |
| 12 | 2014 | 12 | |
| 13 | 2014 | 38 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2013 | 10 | |
| 17 | 2013 | 12 |
About Laura Friggeri
Laura Friggeri is a scholar working on Infectious Diseases, Organic Chemistry and Parasitology, having authored 17 papers that have together received 735 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Synthesis and Biological Evaluation (5 papers), Research on Leishmaniasis Studies (3 papers), Trypanosoma species research and implications (3 papers), Tuberculosis Research and Epidemiology (2 papers), Synthesis and biological activity (2 papers), Catalytic C–H Functionalization Methods (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Infectious Diseases (218 citations), Organic Chemistry (315 citations) and Pharmacology (82 citations). Laura Friggeri has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Galina I. Lepesheva, Tatiana Y. Hargrove, Z. Wawrzak, F. Peter Guengerich, Michael R. Waterman, Aidong Qi, William J. Hoekstra, Robert J. Schotzinger, John D. York and Daniela De Vita. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Medicinal 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.