Miriam Sgobba
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- Computational Drug Discovery Methods 5
- Molecular Biology top 10%
- Protein Structure and Dynamics 4
- Biochemical and Molecular Research 2
- DNA and Nucleic Acid Chemistry 2
- Ubiquitin and proteasome pathways 2
- Toxicology top 5%
- Pharmacology top 10%
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- Enzyme Structure and Function 3
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- Free Radicals and Antioxidants 2
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- HIV/AIDS drug development and treatment 2
- Co-authors
- Giulio RastelliGianluca DegliespostiAlberto Del RíoAnna María FerrariShozeb HaiderBarira IslamAndrew AnighoroFabiana Caporuscio
- Journals
- European Journal of Medicinal Chemistry (2 papers)ChemMedChem (2 papers)Macromolecules (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Miriam Sgobba
17 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 414
- Molecular Biology 1.0k
- Toxicology 41
- Pharmacology 65
- Virology 32
Countries citing papers authored by Miriam Sgobba
This map shows the geographic impact of Miriam Sgobba'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 Miriam Sgobba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Sgobba more than expected).
Fields of papers citing papers by Miriam Sgobba
This network shows the impact of papers produced by Miriam Sgobba. 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 Miriam Sgobba. The network helps show where Miriam Sgobba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miriam Sgobba, 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 | 2015 | 18 | |
| 2 | 2015 | 30 | |
| 3 | 2014 | 64 | |
| 4 | 2013 | 36 | |
| 5 | 2013 | 63 | |
| 6 | 2013 | 82 | |
| 7 | 2012 | 17 | |
| 8 | 2012 | 86 | |
| 9 | 2012 | 74 | |
| 10 | 2010 | 10 | |
| 11 | 2009 | 94 | |
| 12 | Fast and accurate predictions of binding free energies using MM‐PBSA and MM‐GBSAbreakdown → | 2009 | 651 |
| 13 | 2009 | 35 | |
| 14 | 2008 | 23 | |
| 15 | 2007 | 86 | |
| 16 | 2007 | 30 | |
| 17 | 2007 | 3 |
About Miriam Sgobba
Miriam Sgobba is a scholar working on Filtration and Separation, Computational Theory and Mathematics and Sensory Systems, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers), Biochemical and Molecular Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Free Radicals and Antioxidants (2 papers), Ubiquitin and proteasome pathways (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Computational Theory and Mathematics (414 citations), Molecular Biology (1.0k citations) and Toxicology (41 citations). Miriam Sgobba has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giulio Rastelli, Gianluca Degliesposti, Alberto Del Río, Anna María Ferrari, Shozeb Haider, Barira Islam, Andrew Anighoro, Fabiana Caporuscio, Mone Zaidi and David Haigh. Their work appears in journals such as European Journal of Medicinal Chemistry, ChemMedChem, Macromolecules, Proceedings of the National Academy of Sciences and Bioorganic & 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.