E. Pieroni
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 3
- Protein Structure and Dynamics 2
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- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Amit Kumar (10 shared papers)Maria Giovanna Marrosu (5 shared papers)Benedetta Era (3 shared papers)Antonella Fais (3 shared papers)Luigi Atzori (3 shared papers)Eleonora Cocco (4 shared papers)Alberto de la Fuente (3 shared papers)Giovanna Delogu (2 shared papers)
- Journals
- PLoS ONE (4 papers)Molecular BioSystems (2 papers)Physical Chemistry Chemical Physics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)PROTEOMICS (1 paper)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
E. Pieroni
21 papers receiving 488 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 93
- Computational Theory and Mathematics 80
- Pathology and Forensic Medicine 44
- Immunology 53
- Molecular Biology 176
Countries citing papers authored by E. Pieroni
This map shows the geographic impact of E. Pieroni'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 E. Pieroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Pieroni more than expected).
Fields of papers citing papers by E. Pieroni
This network shows the impact of papers produced by E. Pieroni. 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 E. Pieroni. The network helps show where E. Pieroni may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Pieroni, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2008 | 71 | |
| 3 | 2014 | 54 | |
| 4 | 2016 | 48 | |
| 5 | 2013 | 35 | |
| 6 | 2012 | 30 | |
| 7 | 2013 | 27 | |
| 8 | 2013 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2019 | 15 | |
| 12 | 1995 | 15 | |
| 13 | 1998 | 12 | |
| 14 | 2009 | 9 | |
| 15 | 1998 | 8 | |
| 16 | 2008 | 6 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About E. Pieroni
E. Pieroni is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Pharmacology and Pathology and Forensic Medicine, having authored 22 papers that have together received 499 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Bioinformatics and Genomic Networks (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Protein Structure and Dynamics (2 papers), Evolution and Genetic Dynamics (2 papers), Computational Drug Discovery Methods (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Pharmacology (93 citations), Computational Theory and Mathematics (80 citations), Pathology and Forensic Medicine (44 citations), Immunology (53 citations) and Molecular Biology (176 citations). E. Pieroni has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Amit Kumar, Maria Giovanna Marrosu, Benedetta Era, Antonella Fais, Luigi Atzori, Eleonora Cocco, Alberto de la Fuente, Giovanna Delogu, María João Matos and Francesca Pintus. Their work appears in journals such as PLoS ONE, Molecular BioSystems, Physical Chemistry Chemical Physics, Bioorganic & Medicinal Chemistry Letters and PROTEOMICS.
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.