Gianfranco De Pascale
- Molecular Medicine top 0.5%
- Molecular Biology
- Pharmacology top 5%
- Infectious Diseases top 5%
- Epidemiology
- Co-authors
- Gerard D. WrightAndrew KingBrian K. CoombesDustin T. KingWenliang WangSarah A. Reid‐YuN.C.J. StrynadkaTimothy R. Walsh
- Topics
- Antibiotic Resistance in Bacteria (11 papers)Microbial Natural Products and Biosynthesis (5 papers)Peptidase Inhibition and Analysis (4 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Gianfranco De Pascale
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Molecular Medicine 509
- Molecular Biology 483
- Pharmacology 308
- Infectious Diseases 265
- Epidemiology 225
Countries citing papers authored by Gianfranco De Pascale
This map shows the geographic impact of Gianfranco De Pascale'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 Gianfranco De Pascale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianfranco De Pascale more than expected).
Fields of papers citing papers by Gianfranco De Pascale
This network shows the impact of papers produced by Gianfranco De Pascale. 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 Gianfranco De Pascale. The network helps show where Gianfranco De Pascale may publish in the future.
Co-authorship network of co-authors of Gianfranco De Pascale
This figure shows the co-authorship network connecting the top 25 collaborators of Gianfranco De Pascale. A scholar is included among the top collaborators of Gianfranco De Pascale based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianfranco De Pascale. Gianfranco De Pascale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 93 | |
| 4 | 20 | |
| 5 | Aspergillomarasmine A overcomes metallo-β-lactamase antibiotic resistancebreakdown → | 429 |
| 6 | 60 | |
| 7 | 7 | |
| 8 | 26 | |
| 9 | 54 | |
| 10 | 153 | |
| 11 | 69 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 14 | |
| 16 | 51 | |
| 17 | 11 | |
| 18 | 70 | |
| 19 | 28 | |
| 20 | 10 |
About Gianfranco De Pascale
Gianfranco De Pascale is a scholar working on Molecular Medicine, Infectious Diseases and Pharmacology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Microbial Natural Products and Biosynthesis (5 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Molecular Medicine (509 citations), Applied Microbiology and Biotechnology (65 citations) and Pharmacology (308 citations). Gianfranco De Pascale has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Gerard D. Wright, Andrew King, Brian K. Coombes, Dustin T. King, Wenliang Wang, Sarah A. Reid‐Yu, N.C.J. Strynadka, Timothy R. Walsh, Laura Rossi and Kalinka Koteva. Their work appears in journals such as Nature, Journal of Biological Chemistry and PLoS ONE.
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.