Gabriella Marucci
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Pharmacology top 1%
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Michela BuccioniRosaria VolpiniCatia LambertucciDiego Dal BenFrancesco AmentaCarlo MelchiorreAjiroghene ThomasPiero Angeli
- Topics
- Receptor Mechanisms and Signaling (76 papers)Adenosine and Purinergic Signaling (51 papers)Pharmacological Receptor Mechanisms and Effects (34 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Gabriella Marucci
144 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.4k
- Organic Chemistry 828
- Pharmacology 582
- Physiology 563
- Cellular and Molecular Neuroscience 488
Countries citing papers authored by Gabriella Marucci
This map shows the geographic impact of Gabriella Marucci'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 Gabriella Marucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Marucci more than expected).
Fields of papers citing papers by Gabriella Marucci
This network shows the impact of papers produced by Gabriella Marucci. 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 Gabriella Marucci. The network helps show where Gabriella Marucci may publish in the future.
Co-authorship network of co-authors of Gabriella Marucci
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Marucci. A scholar is included among the top collaborators of Gabriella Marucci 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 Gabriella Marucci. Gabriella Marucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 13 | |
| 16 | 41 | |
| 17 | 9 | |
| 18 | Frontal affinity chromatography-mass spectrometry useful for characterization of new ligands for GPR17 receptor | 2 |
| 19 | Design, synthesis and muscarinic activity of deoxamuscarine-related derivatives | 1 |
| 20 | . “Synthesis, Pharmacological “Evaluation and Selectivity Profile of Isomeric 2-Phenyl-2-Cyclohexyl-4-[(Dimethylamino)Methyl]-1,3-Dithiolane Methiodides, as Potent Antimuscarinic Agents”. | 5 |
About Gabriella Marucci
Gabriella Marucci is a scholar working on Physiology, Cellular and Molecular Neuroscience and Toxicology, having authored 147 papers that have together received 2.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (76 papers), Adenosine and Purinergic Signaling (51 papers) and Pharmacological Receptor Mechanisms and Effects (34 papers). The work is most often cited by research in Physiology (563 citations), Pharmacology (582 citations) and Organic Chemistry (828 citations). Gabriella Marucci has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Michela Buccioni, Rosaria Volpini, Catia Lambertucci, Diego Dal Ben, Francesco Amenta, Carlo Melchiorre, Ajiroghene Thomas, Piero Angeli, Amedeo Leonardi and Gloria Cristalli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Scientific Reports.
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.