Daniela Dolciami

431 total citations
14 papers, 300 citations indexed

About

Daniela Dolciami is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biological Psychiatry. According to data from OpenAlex, Daniela Dolciami has authored 14 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Biological Psychiatry. Recurrent topics in Daniela Dolciami's work include Computational Drug Discovery Methods (6 papers), Tryptophan and brain disorders (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Daniela Dolciami is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Tryptophan and brain disorders (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Daniela Dolciami collaborates with scholars based in Italy, United Kingdom and United States. Daniela Dolciami's co-authors include Antonio Macchiarulo, Marco Gargaro, Francesca Fallarino, Ursula Grohmann, Alice Coletti, Albert A. Antolín, Bissan Al‐Lazikani, M Cara, Francesco Greco and Joseph E Tym and has published in prestigious journals such as Nucleic Acids Research, European Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Daniela Dolciami

14 papers receiving 297 citations

Peers

Daniela Dolciami
John E. Tellew United States
Xiang‐Rong Jiang United States
Olga Novikov United States
Silvia Diani-Moore United States
Jinsai Shang United States
D. Zhou United States
Elsbeth G. Chikhale United States
Eugene Ciccimaro United States
Jung‐Mi Hah South Korea
John E. Tellew United States
Daniela Dolciami
Citations per year, relative to Daniela Dolciami Daniela Dolciami (= 1×) peers John E. Tellew

Countries citing papers authored by Daniela Dolciami

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniela Dolciami

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Dolciami. A scholar is included among the top collaborators of Daniela Dolciami 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 Daniela Dolciami. Daniela Dolciami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Dolciami, Daniela, et al.. (2024). Exploiting Vector Pattern Diversity of Molecular Scaffolds for Cheminformatics Tasks in Drug Discovery. Journal of Chemical Information and Modeling. 64(6). 1966–1974. 6 indexed citations
2.
Dolciami, Daniela, et al.. (2022). canSAR chemistry registration and standardization pipeline. Journal of Cheminformatics. 14(1). 28–28. 12 indexed citations
3.
Micco, Patrizio Di, Albert A. Antolín, Costas Mitsopoulos, et al.. (2022). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 51(D1). D1212–D1219. 19 indexed citations
4.
Dolciami, Daniela, et al.. (2021). Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure. Biology Direct. 16(1). 6–6. 32 indexed citations
5.
Mitsopoulos, Costas, Patrizio Di Micco, Daniela Dolciami, et al.. (2020). canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research. 49(D1). D1074–D1082. 64 indexed citations
6.
Coletti, Alice, Daniela Dolciami, Bruno Cerra, et al.. (2020). The Stone Guest: How Does pH Affect Binding Properties of PD‐1/PD‐L1 Inhibitors?. ChemMedChem. 16(3). 568–577. 9 indexed citations
7.
Dolciami, Daniela, et al.. (2019). Targeting Aryl hydrocarbon receptor for next-generation immunotherapies: Selective modulators (SAhRMs) versus rapidly metabolized ligands (RMAhRLs). European Journal of Medicinal Chemistry. 185. 111842–111842. 39 indexed citations
8.
Greco, Francesco, Elisa Albini, Alice Coletti, et al.. (2019). Tracking Hidden Binding Pockets Along the Molecular Recognition Path of l‐Trp to Indoleamine 2,3‐Dioxygenase 1. ChemMedChem. 14(24). 2084–2092. 7 indexed citations
9.
Fiorito, Serena, Francesco Greco, Alice Coletti, et al.. (2018). Microscale Thermophoresis and Docking Studies Suggest Lapachol and Auraptene are Ligands of IDO1. Natural Product Communications. 13(9). 1 indexed citations
10.
Dolciami, Daniela, Marco Gargaro, Bruno Cerra, et al.. (2017). Binding Mode and Structure–Activity Relationships of ITE as an Aryl Hydrocarbon Receptor (AhR) Agonist. ChemMedChem. 13(3). 270–279. 24 indexed citations
11.
Greco, Francesco, Alice Coletti, Daniela Dolciami, et al.. (2017). Binding Properties of Different Categories of Ido1 Inhibitors: A Microscale Thermophoresis Study. Future Medicinal Chemistry. 9(12). 1327–1338. 8 indexed citations
12.
Coletti, Alice, Francesco Greco, Daniela Dolciami, et al.. (2017). Advances in indoleamine 2,3-dioxygenase 1 medicinal chemistry. MedChemComm. 8(7). 1378–1392. 34 indexed citations
13.
Greco, Francesco, et al.. (2016). Docking Studies and Molecular Dynamic Simulations Reveal Different Features of IDO1 Structure. Molecular Informatics. 35(8-9). 449–459. 11 indexed citations
14.
Nuti, Roberto, Marco Gargaro, Davide Matino, et al.. (2014). Ligand Binding and Functional Selectivity of l-Tryptophan Metabolites at the Mouse Aryl Hydrocarbon Receptor (mAhR). Journal of Chemical Information and Modeling. 54(12). 3373–3383. 34 indexed citations

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.

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