Daniela Dolciami
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Protein Structure and Dynamics 2
-
- Computational Drug Discovery Methods 6
- Co-authors
- Antonio Macchiarulo (9 shared papers)Francesca Fallarino (3 shared papers)Marco Gargaro (3 shared papers)Ursula Grohmann (4 shared papers)Bissan Al‐Lazikani (3 shared papers)Albert A. Antolín (3 shared papers)Alice Coletti (6 shared papers)Francesco Greco (5 shared papers)
- Journals
- ChemMedChem (3 papers)Nucleic Acids Research (2 papers)Journal of Chemical Information and Modeling (2 papers)European Journal of Medicinal Chemistry (1 paper)Molecular Informatics (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Daniela Dolciami
14 papers receiving 297 citations
Peers
Comparison fields: 5 of 69
- Biological Psychiatry 74
- Pharmacology 47
- Behavioral Neuroscience 19
- Computational Theory and Mathematics 76
- Health, Toxicology and Mutagenesis 43
Countries citing papers authored by Daniela Dolciami
This map shows the geographic impact of Daniela Dolciami'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 Daniela Dolciami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dolciami more than expected).
Fields of papers citing papers by Daniela Dolciami
This network shows the impact of papers produced by Daniela Dolciami. 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 Daniela Dolciami. The network helps show where Daniela Dolciami may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Dolciami, 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 | 2020 | 64 | |
| 2 | 2019 | 39 | |
| 3 | 2014 | 34 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2017 | 24 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2018 | 1 |
About Daniela Dolciami
Daniela Dolciami is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biological Psychiatry, Pharmacology and Spectroscopy, having authored 14 papers that have together received 300 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Tryptophan and brain disorders (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Toxic Organic Pollutants Impact (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Protein Structure and Dynamics (2 papers), Mental Health Research Topics (2 papers) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Biological Psychiatry (74 citations), Pharmacology (47 citations), Behavioral Neuroscience (19 citations), Computational Theory and Mathematics (76 citations) and Health, Toxicology and Mutagenesis (43 citations). Daniela Dolciami has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Macchiarulo, Francesca Fallarino, Marco Gargaro, Ursula Grohmann, Bissan Al‐Lazikani, Albert A. Antolín, Alice Coletti, Francesco Greco, M Cara and Paolo Puccetti. Their work appears in journals such as ChemMedChem, Nucleic Acids Research, Journal of Chemical Information and Modeling, European Journal of Medicinal Chemistry and Molecular Informatics.
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.