Davide Chiarugi
Impact in
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- Diabetes Treatment and Management
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Gene Regulatory Network Analysis 12
- Microbial Metabolic Engineering and Bioproduction 7
- DNA and Biological Computing 4
- RNA modifications and cancer 4
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
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- Adipose Tissue and Metabolism 7
- Co-authors
- Angelo Valleriani (6 shared papers)Celine Sin (3 shared papers)Fiona M. Gribble (2 shared papers)Alice E. Adriaenssens (2 shared papers)Frank Reimann (2 shared papers)Giles S.H. Yeo (1 shared paper)Tamana Darwish (1 shared paper)John A. Tadross (1 shared paper)
- Journals
- BMC Systems Biology (3 papers)Cell Metabolism (1 paper)Immunity (1 paper)Cell Reports (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Davide Chiarugi
34 papers receiving 635 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 194
- Endocrine and Autonomic Systems 68
- Physiology 142
- Biochemistry 36
- Molecular Biology 319
Countries citing papers authored by Davide Chiarugi
This map shows the geographic impact of Davide Chiarugi'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 Davide Chiarugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Chiarugi more than expected).
Fields of papers citing papers by Davide Chiarugi
This network shows the impact of papers produced by Davide Chiarugi. 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 Davide Chiarugi. The network helps show where Davide Chiarugi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Chiarugi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Glucose-Dependent Insulinotropic Polypeptide Receptor-Expressing Cells in the Hypothalamus Regulate Food Intake Hit paper breakdown → | 2019 | 237 |
| 2 | 2020 | 101 | |
| 3 | 2016 | 49 | |
| 4 | 2020 | 35 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2015 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2007 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2008 | 6 | |
| 20 | 2015 | 4 |
About Davide Chiarugi
Davide Chiarugi is a scholar working on Molecular Biology, Physiology, Pediatrics, Perinatology and Child Health, Epidemiology and Endocrine and Autonomic Systems, having authored 36 papers that have together received 644 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Adipose Tissue and Metabolism (7 papers), Birth, Development, and Health (6 papers), DNA and Biological Computing (4 papers), RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (194 citations), Endocrine and Autonomic Systems (68 citations), Physiology (142 citations), Biochemistry (36 citations) and Molecular Biology (319 citations). Davide Chiarugi has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Angelo Valleriani, Celine Sin, Fiona M. Gribble, Alice E. Adriaenssens, Frank Reimann, Giles S.H. Yeo, Tamana Darwish, John A. Tadross, Ilona Zvetkova and Clémence Blouet. Their work appears in journals such as BMC Systems Biology, Cell Metabolism, Immunity, Cell Reports and Theoretical Computer Science.
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.