Veronica Ghini
Impact in
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
Papers in
-
- Metabolomics and Mass Spectrometry Studies 26
- Gut microbiota and health 5
-
- Diet and metabolism studies 4
- Co-authors
- Paola Turano (35 shared papers)Claudio Luchinat (22 shared papers)Leonardo Tenori (15 shared papers)Panteleimon G. Takis (3 shared papers)Gaia Meoni (6 shared papers)Alessia Vignoli (5 shared papers)Cristina Licari (2 shared papers)Caterina Bernacchioni (6 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (3 papers)PLoS Pathogens (3 papers)RSC Advances (2 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Veronica Ghini
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Biological Psychiatry 37
- Molecular Biology 827
- Spectroscopy 168
- Complementary and alternative medicine 73
- Hematology 90
Countries citing papers authored by Veronica Ghini
This map shows the geographic impact of Veronica Ghini'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 Veronica Ghini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Ghini more than expected).
Fields of papers citing papers by Veronica Ghini
This network shows the impact of papers produced by Veronica Ghini. 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 Veronica Ghini. The network helps show where Veronica Ghini may publish in the future.
Co-authors
The 25 scholars most cited alongside Veronica Ghini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 282 | |
| 2 | 2018 | 94 | |
| 3 | 2020 | 76 | |
| 4 | 2021 | 73 | |
| 5 | 2020 | 63 | |
| 6 | 2018 | 60 | |
| 7 | 2015 | 50 | |
| 8 | 2019 | 44 | |
| 9 | 2017 | 35 | |
| 10 | 2022 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2022 | 30 | |
| 13 | 2016 | 29 | |
| 14 | 2020 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2015 | 25 | |
| 17 | 2023 | 23 | |
| 18 | 2021 | 23 | |
| 19 | 2018 | 22 | |
| 20 | 2014 | 21 |
About Veronica Ghini
Veronica Ghini is a scholar working on Molecular Biology, Physiology, Spectroscopy, Ecology and Epidemiology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (26 papers), Gut microbiota and health (5 papers), Iron Metabolism and Disorders (5 papers), Traditional Chinese Medicine Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Trace Elements in Health (4 papers), Microbial Community Ecology and Physiology (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Molecular Biology (827 citations), Spectroscopy (168 citations), Complementary and alternative medicine (73 citations) and Hematology (90 citations). Veronica Ghini has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Paola Turano, Claudio Luchinat, Leonardo Tenori, Panteleimon G. Takis, Gaia Meoni, Alessia Vignoli, Cristina Licari, Caterina Bernacchioni, Lara Massai and Edoardo Saccenti. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, International Journal of Molecular Sciences, PLoS Pathogens and RSC Advances.
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.