Marco Tuccori
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 10
- Toxicology top 0.5%
- Pharmacovigilance and Adverse Drug Reactions 20
- Gastroenterology top 2%
- Gastroesophageal reflux and treatments 12
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 12
- COVID-19 Clinical Research Studies 11
- Geriatrics and Gerontology top 5%
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- Inflammatory mediators and NSAID effects 11
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- Biosimilars and Bioanalytical Methods 10
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- Helicobacter pylori-related gastroenterology studies 9
- Co-authors
- Corrado BlandizziLuca AntonioliMatteo FornaiDaniele FocosiRocchina ColucciMario Del TaccaNarcisa GhisuGiulia Valdiserra
- Cited by
- PhysiologyToxicologyGastroenterology
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)Gastroenterology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marco Tuccori
104 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 397
- Toxicology 212
- Gastroenterology 202
- Infectious Diseases 507
- Geriatrics and Gerontology 92
Countries citing papers authored by Marco Tuccori
This map shows the geographic impact of Marco Tuccori'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 Marco Tuccori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Tuccori more than expected).
Fields of papers citing papers by Marco Tuccori
This network shows the impact of papers produced by Marco Tuccori. 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 Marco Tuccori. The network helps show where Marco Tuccori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Tuccori, 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 | 2024 | 0 | |
| 2 | Conducting and interpreting disproportionality analyses derived from spontaneous reporting systemsbreakdown → | 2024 | 66 |
| 3 | 2023 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 85 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 4 | |
| 19 | 2014 | 1 | |
| 20 | 2009 | 73 |
About Marco Tuccori
Marco Tuccori is a scholar working on Toxicology, Gastroenterology and Physiology, having authored 110 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (20 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Gastroesophageal reflux and treatments (12 papers), Inflammatory mediators and NSAID effects (11 papers), COVID-19 Clinical Research Studies (11 papers), Adenosine and Purinergic Signaling (10 papers), Biosimilars and Bioanalytical Methods (10 papers) and Helicobacter pylori-related gastroenterology studies (9 papers). The work is most often cited by research in Physiology (397 citations), Toxicology (212 citations) and Gastroenterology (202 citations). Marco Tuccori has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Corrado Blandizzi, Luca Antonioli, Matteo Fornai, Daniele Focosi, Rocchina Colucci, Mario Del Tacca, Narcisa Ghisu, Giulia Valdiserra, Emiliano Cappello and Irma Convertino. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.
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.