Daniela Gnani
Impact in
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Physiology top 5%
- Diet and metabolism studies
- Telomeres, Telomerase, and Senescence
Papers in
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- Epigenetics and DNA Methylation 3
- Gut microbiota and health 2
- Diffusion and Search Dynamics 2
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Valério Nobili (10 shared papers)Anna Alisi (10 shared papers)Cristiano De Stefanis (4 shared papers)Lorenza Putignani (3 shared papers)Cesare Furlanello (3 shared papers)Alfredo Miccheli (2 shared papers)Giorgio Capuani (2 shared papers)Bruno Dallapiccola (2 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Nature Communications (1 paper)Stem Cell Reports (1 paper)Biochemical Society Transactions (1 paper)Blood (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Daniela Gnani
17 papers receiving 1.3k citations
Daniela Gnani's Hit Papers
Peers
Comparison fields: 5 of 103
- Epidemiology 516
- Physiology 374
- Endocrinology, Diabetes and Metabolism 170
- Molecular Biology 720
- Genetics 88
Countries citing papers authored by Daniela Gnani
This map shows the geographic impact of Daniela Gnani'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 Daniela Gnani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gnani more than expected).
Fields of papers citing papers by Daniela Gnani
This network shows the impact of papers produced by Daniela Gnani. 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 Daniela Gnani. The network helps show where Daniela Gnani may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gnani, 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 | Gut microbiota profiling of pediatric nonalcoholic fatty liver disease and obese patients unveiled by an integrated meta‐omics‐based approach Hit paper breakdown → | 2016 | 579 |
| 2 | 2019 | 140 | |
| 3 | 2015 | 114 | |
| 4 | 2014 | 67 | |
| 5 | 2013 | 60 | |
| 6 | 2015 | 60 | |
| 7 | 2017 | 55 | |
| 8 | 2012 | 48 | |
| 9 | 2013 | 46 | |
| 10 | 2021 | 42 | |
| 11 | 2023 | 33 | |
| 12 | 2019 | 29 | |
| 13 | 2014 | 25 | |
| 14 | 2021 | 17 | |
| 15 | 2016 | 7 | |
| 16 | 2014 | 3 | |
| 17 | 2019 | 1 |
About Daniela Gnani
Daniela Gnani is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Epigenetics and DNA Methylation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Gut microbiota and health (2 papers), Liver Diseases and Immunity (2 papers), Diet, Metabolism, and Disease (2 papers), Diffusion and Search Dynamics (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Epidemiology (516 citations), Physiology (374 citations), Endocrinology, Diabetes and Metabolism (170 citations), Molecular Biology (720 citations) and Genetics (88 citations). Daniela Gnani has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Valério Nobili, Anna Alisi, Cristiano De Stefanis, Lorenza Putignani, Cesare Furlanello, Alfredo Miccheli, Giorgio Capuani, Bruno Dallapiccola, Pamela Vernocchi and Federica Del Chierico. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, Stem Cell Reports, Biochemical Society Transactions and Blood.
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.