María Di Bari
- Molecular Biology
- Gastroenterology top 5%
- Nutrition and Dietetics top 10%
- Cellular and Molecular Neuroscience
- Food Science
- Co-authors
- Ada Maria TataA. DeriuFrancesco PalmisanoCarmen GianfraniMarco GobbettiIlario LositoMarco SilanoAlessandra Camarca
- Topics
- Receptor Mechanisms and Signaling (8 papers)Vagus Nerve Stimulation Research (5 papers)Quantum chaos and dynamical systems (5 papers)
In The Last Decade
María Di Bari
34 papers receiving 711 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 288
- Gastroenterology 164
- Nutrition and Dietetics 120
- Cellular and Molecular Neuroscience 84
- Food Science 65
Countries citing papers authored by María Di Bari
This map shows the geographic impact of María Di Bari'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 María Di Bari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Di Bari more than expected).
Fields of papers citing papers by María Di Bari
This network shows the impact of papers produced by María Di Bari. 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 María Di Bari. The network helps show where María Di Bari may publish in the future.
Co-authorship network of co-authors of María Di Bari
This figure shows the co-authorship network connecting the top 25 collaborators of María Di Bari. A scholar is included among the top collaborators of María Di Bari 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 María Di Bari. María Di Bari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | 42 | |
| 4 | 23 | |
| 5 | 20 | |
| 6 | 33 | |
| 7 | 27 | |
| 8 | 43 | |
| 9 | 26 | |
| 10 | 193 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | Lymphadenectomy in gastric cancer: influence on prognosis of lymph node count. | 21 |
| 14 | Cancer precursor lesions in intact stomach Helicobacter pylori gastritis and in resected stomach gastritis. | 4 |
| 15 | Maximum gastric cancer diameter as a prognostic indicator: univariate and multivariate analysis. | 26 |
| 16 | 20 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 17 | |
| 20 | Finsler geometry in classical mechanics and in Bianchi cosmological models ( | 1 |
About María Di Bari
María Di Bari is a scholar working on Neurology, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 727 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Vagus Nerve Stimulation Research (5 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Gastroenterology (164 citations), Nutrition and Dietetics (120 citations) and Neurology (56 citations). María Di Bari has collaborated with scholars based in Italy, Spain and Argentina. Frequent co-authors include Ada Maria Tata, A. Deriu, Francesco Palmisano, Carmen Gianfrani, Marco Gobbetti, Ilario Losito, Marco Silano, Alessandra Camarca, Carlo Giuseppe Rizzello and Maria De Angelis. Their work appears in journals such as Physical Review Letters, PLoS ONE and Applied and Environmental Microbiology.
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.