Davide Chiarugi

1.2k total citations · 1 hit paper
36 papers, 644 citations indexed

About

Davide Chiarugi is a scholar working on Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Davide Chiarugi has authored 36 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Davide Chiarugi's work include Gene Regulatory Network Analysis (12 papers), Adipose Tissue and Metabolism (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Davide Chiarugi is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Adipose Tissue and Metabolism (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Davide Chiarugi collaborates with scholars based in United Kingdom, Italy and Germany. Davide Chiarugi's co-authors include Angelo Valleriani, Celine Sin, Alice E. Adriaenssens, Frank Reimann, Fiona M. Gribble, Brian Lam, John A. Tadross, Giles S.H. Yeo, Joseph Polex-Wolf and Clémence Blouet and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Davide Chiarugi

34 papers receiving 635 citations

Hit Papers

Glucose-Dependent Insulinotropic Polypeptide Receptor-Exp... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Davide Chiarugi United Kingdom 12 319 194 142 78 75 36 644
Yuichiro Sugiyama Japan 15 565 1.8× 142 0.7× 150 1.1× 134 1.7× 45 0.6× 54 1.0k
Santos Carvajal‐Gonzalez United States 18 208 0.7× 124 0.6× 81 0.6× 95 1.2× 27 0.4× 25 771
Young‐Ki Paik South Korea 13 375 1.2× 133 0.7× 117 0.8× 184 2.4× 19 0.3× 17 712
Su Sung Kim South Korea 9 274 0.9× 86 0.4× 164 1.2× 169 2.2× 41 0.5× 13 662
Daniela Nasteska United Kingdom 13 262 0.8× 323 1.7× 134 0.9× 324 4.2× 39 0.5× 24 652
Atsushi Shima Japan 14 358 1.1× 124 0.6× 217 1.5× 64 0.8× 31 0.4× 38 782
Marika Orlov United States 7 305 1.0× 64 0.3× 174 1.2× 30 0.4× 36 0.5× 13 585
Caroline A. Wallace United Kingdom 5 376 1.2× 117 0.6× 184 1.3× 73 0.9× 19 0.3× 6 652
Stephan Scherneck Germany 17 430 1.3× 118 0.6× 326 2.3× 284 3.6× 27 0.4× 41 907
Keiko Masuda Japan 13 287 0.9× 54 0.3× 70 0.5× 60 0.8× 13 0.2× 36 560

Countries citing papers authored by Davide Chiarugi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Davide Chiarugi

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Chiarugi. A scholar is included among the top collaborators of Davide Chiarugi 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 Davide Chiarugi. Davide Chiarugi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Furse, Samuel, Sam Virtue, Isabel Huang‐Doran, et al.. (2025). Systemic analyses show that the biosynthesis and spatial distribution of fatty acids, triglycerides and lipids differed in male and female mice and humans. Open Biology. 15(8). 250198–250198.
2.
Awad, Sherine, Angelo Valleriani, & Davide Chiarugi. (2024). A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length. NAR Genomics and Bioinformatics. 6(2). lqae036–lqae036. 1 indexed citations
3.
Furse, Samuel, Adam J. Watkins, Huw E. L. Williams, et al.. (2022). Paternal nutritional programming of lipid metabolism is propagated through sperm and seminal plasma. Metabolomics. 18(2). 13–13. 13 indexed citations
4.
Furse, Samuel, et al.. (2022). A mouse model of gestational diabetes shows dysregulated lipid metabolism post-weaning, after return to euglycaemia. Nutrition and Diabetes. 12(1). 8–8. 11 indexed citations
5.
Smith, Christopher A., Orla Woodward, Jo E. Lewis, et al.. (2022). A comparative transcriptomic analysis of glucagon-like peptide-1 receptor- and glucose-dependent insulinotropic polypeptide receptor-expressing cells in the hypothalamus. Appetite. 174. 106022–106022. 27 indexed citations
6.
Furse, Samuel, Adam J. Watkins, James M. Smith, et al.. (2021). Lipid Traffic Analysis reveals the impact of high paternal carbohydrate intake on offsprings’ lipid metabolism. Communications Biology. 4(1). 163–163. 18 indexed citations
7.
Furse, Samuel, Denise S. Fernandez‐Twinn, Davide Chiarugi, Albert Koulman, & Susan E. Ozanne. (2021). Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes. International Journal of Molecular Sciences. 22(14). 7452–7452. 23 indexed citations
8.
Carobbio, Stefania, Sonia Rodríguez‐Fdez, Ioannis Kamzolas, et al.. (2021). Unraveling the Developmental Roadmap toward Human Brown Adipose Tissue. Stem Cell Reports. 16(3). 641–655. 13 indexed citations
9.
Álvarez-Guaita, Anna, Satish Patel, Koini Lim, et al.. (2021). Phenotypic characterization of Adig null mice suggests roles for adipogenin in the regulation of fat mass accrual and leptin secretion. Cell Reports. 34(10). 108810–108810. 12 indexed citations
10.
Hall, Zoe, Davide Chiarugi, Evelina Charidemou, et al.. (2020). Lipid Remodeling in Hepatocyte Proliferation and Hepatocellular Carcinoma. Hepatology. 73(3). 1028–1044. 101 indexed citations
11.
Lu, Yuning, Gemma Basatemur, Ian C. Scott, et al.. (2020). Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages. Immunity. 52(5). 782–793.e5. 35 indexed citations
12.
Adriaenssens, Alice E., Emma K. Biggs, Tamana Darwish, et al.. (2019). Glucose-Dependent Insulinotropic Polypeptide Receptor-Expressing Cells in the Hypothalamus Regulate Food Intake. Cell Metabolism. 30(5). 987–996.e6. 237 indexed citations breakdown →
13.
Sin, Celine, Davide Chiarugi, & Angelo Valleriani. (2016). Degradation Parameters from Pulse-Chase Experiments. PLoS ONE. 11(5). e0155028–e0155028. 8 indexed citations
14.
Sin, Celine, Davide Chiarugi, & Angelo Valleriani. (2016). Quantitative assessment of ribosome drop-off inE. coli. Nucleic Acids Research. 44(6). 2528–2537. 49 indexed citations
15.
Olarte, Carlos, et al.. (2016). A proof theoretic view of spatial and temporal dependencies in biochemical systems. Theoretical Computer Science. 641. 25–42. 8 indexed citations
16.
Chiarugi, Davide, et al.. (2015). Modelling non-Markovian dynamics in biochemical reactions. BMC Systems Biology. 9(S3). S8–S8. 14 indexed citations
17.
Sandmann, Michael, et al.. (2015). Weak correlation of starch and volume in synchronized photosynthetic cells. Physical Review E. 91(1). 12711–12711. 4 indexed citations
18.
Bodei, Chiara, Andrea Bracciali, & Davide Chiarugi. (2008). On deducing causality in metabolic networks. BMC Bioinformatics. 9(S4). S8–S8. 6 indexed citations
19.
Chiarugi, Davide, Pierpaolo Degano, & Roberto Marangoni. (2007). A Computational Approach to the Functional Screening of Genomes. PLoS Computational Biology. 3(9). e174–e174. 12 indexed citations
20.
Chiarugi, Davide, et al.. (2006). Feedbacks and oscillations in the virtual cell VICE. Lecture notes in computer science. 4210. 93–107. 1 indexed citations

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.

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