Federico Da Settimo
Impact in
- Physiology top 0.2%
- Adenosine and Purinergic Signaling
- Organic Chemistry top 1%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Synthesis and Characterization of Heterocyclic Compounds
Papers in
- Physiology 31
- Adenosine and Purinergic Signaling 31
- Toxicology 11
- Co-authors
- Sabrina TalianiConcettina La MottaClaudia MartiniEttore NovellinoAnna María MariniSilvia SalernoElisabetta BarresiFrancesca Simorini
- Journals
- Journal of Medicinal Chemistry (50 papers)European Journal of Medicinal Chemistry (24 papers)ACS Chemical Neuroscience (8 papers)Current Medicinal Chemistry (7 papers)Molecules (6 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Federico Da Settimo
204 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 131
- Physiology 601
- Organic Chemistry 1.9k
- Toxicology 191
- Biochemistry 358
- Biological Psychiatry 111
Countries citing papers authored by Federico Da Settimo
This map shows the geographic impact of Federico Da Settimo'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 Federico Da Settimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Da Settimo more than expected).
Fields of papers citing papers by Federico Da Settimo
This network shows the impact of papers produced by Federico Da Settimo. 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 Federico Da Settimo. The network helps show where Federico Da Settimo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Federico Da Settimo, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 16 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 20 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 66 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 49 | |
| 18 | 2017 | 25 | |
| 19 | 2016 | 36 | |
| 20 | 2016 | 8 |
About Federico Da Settimo
Federico Da Settimo is a scholar working on Physiology, Toxicology, Organic Chemistry, Cellular and Molecular Neuroscience and Molecular Biology, having authored 210 papers that have together received 5.3k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (31 papers), Neuroscience and Neuropharmacology Research (29 papers), Synthesis and Characterization of Heterocyclic Compounds (22 papers), Cancer therapeutics and mechanisms (21 papers), Synthesis and biological activity (20 papers), Synthesis and Biological Evaluation (19 papers), Aldose Reductase and Taurine (18 papers) and Receptor Mechanisms and Signaling (16 papers). The work is most often cited by research in Physiology (601 citations), Organic Chemistry (1.9k citations), Toxicology (191 citations), Biochemistry (358 citations) and Biological Psychiatry (111 citations). Federico Da Settimo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Sabrina Taliani, Concettina La Motta, Claudia Martini, Ettore Novellino, Anna María Marini, Silvia Salerno, Elisabetta Barresi, Francesca Simorini, Giampaolo Primofiore and Stefania Sartini. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, ACS Chemical Neuroscience, Current Medicinal Chemistry and Molecules.
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.