Giulia Mancano

2.7k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Giulia Mancano is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Giulia Mancano has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Physiology. Recurrent topics in Giulia Mancano's work include Nutritional Studies and Diet (4 papers), Birth, Development, and Health (3 papers) and Diet and metabolism studies (3 papers). Giulia Mancano is often cited by papers focused on Nutritional Studies and Diet (4 papers), Birth, Development, and Health (3 papers) and Diet and metabolism studies (3 papers). Giulia Mancano collaborates with scholars based in United Kingdom, Spain and Netherlands. Giulia Mancano's co-authors include Gemma C. Sharp, Jonathan A C Sterne, Gibran Hemani, George Davey Smith, Tim Morris, Neil M Davies, Annie Herbert, Lindsey Pike, Tom Palmer and Kate Tilling and has published in prestigious journals such as Nature Communications, American Journal of Clinical Nutrition and Diabetes Care.

In The Last Decade

Giulia Mancano

12 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dietary Inflammatory Index and Non-Communicable Disease Risk: A Narrative Review

2019 230 citations Catherine M. Phillips, Ling‐Wei Chen et al. Nutrients profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Mancano United Kingdom	9	286	282	235	231	112	14	1.1k
Maria Grazia Tarsitano Italy	17	358 1.3×	273 1.0×	194 0.8×	121 0.5×	170 1.5×	61	1.4k
Bianca de Almeida-Pititto Brazil	16	206 0.7×	207 0.7×	170 0.7×	215 0.9×	119 1.1×	85	958
Carolyn T. Bramante United States	18	263 0.9×	216 0.8×	172 0.7×	249 1.1×	117 1.0×	56	1.2k
Lin Su China	21	260 0.9×	190 0.7×	506 2.2×	194 0.8×	139 1.2×	73	2.2k
Barbra A. Dickerman United States	20	154 0.5×	184 0.7×	195 0.8×	179 0.8×	115 1.0×	46	1.4k
Linda A. Gallo Australia	23	412 1.4×	268 1.0×	132 0.6×	95 0.4×	154 1.4×	66	1.9k
Xiaohui Liu China	19	318 1.1×	230 0.8×	214 0.9×	408 1.8×	251 2.2×	88	1.6k
Hui Zuo China	24	516 1.8×	335 1.2×	308 1.3×	114 0.5×	269 2.4×	85	1.8k
Jonathan Kopel United States	19	261 0.9×	185 0.7×	68 0.3×	246 1.1×	155 1.4×	126	1.5k
Osama E. Amer Saudi Arabia	18	318 1.1×	380 1.3×	122 0.5×	113 0.5×	172 1.5×	49	1.1k

Countries citing papers authored by Giulia Mancano

Since Specialization

Citations

This map shows the geographic impact of Giulia Mancano'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 Giulia Mancano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Mancano more than expected).

Fields of papers citing papers by Giulia Mancano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Mancano. 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 Giulia Mancano. The network helps show where Giulia Mancano may publish in the future.

Co-authorship network of co-authors of Giulia Mancano

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

All Works

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14 of 14 papers shown

Yrjälä, Kim, et al.. (2024). The incidence of Burkholderia in epiphytic and endophytic bacterial cenoses in hybrid aspen grown on sandy peat. Boreal environment research. 15(1). 81–96.

Küpers, Leanne K., Sílvia Fernández‐Barrés, Aayah Nounu, et al.. (2022). Maternal Mediterranean diet in pregnancy and newborn DNA methylation: a meta-analysis in the PACE Consortium. Epigenetics. 17(11). 1419–1431. 13 indexed citations

Küpers, Leanne K., Sílvia Fernández‐Barrés, Giulia Mancano, et al.. (2022). Maternal Dietary Glycemic Index and Glycemic Load in Pregnancy and Offspring Cord Blood DNA Methylation. Diabetes Care. 45(8). 1822–1832. 11 indexed citations

Prado-Bert, Paula de, Madelon L. Geurtsen, Giulia Mancano, et al.. (2022). Maternal iron status in early pregnancy and DNA methylation in offspring: an epigenome-wide meta-analysis. Clinical Epigenetics. 14(1). 59–59. 8 indexed citations

Hassan, Ahmed M., Giulia Mancano, Karl Kashofer, et al.. (2020). Anhedonia induced by high-fat diet in mice depends on gut microbiota and leptin. Nutritional Neuroscience. 25(2). 299–312. 24 indexed citations

Griffith, Gareth J, Tim Morris, Matthew Tudball, et al.. (2020). Collider bias undermines our understanding of COVID-19 disease risk and severity. Nature Communications. 11(1). 5749–5749. 464 indexed citations

Davies, Neil M, Giulia Mancano, Annie Herbert, et al.. (2020). Implications of selection bias for the COVID Symptom Tracker Study. Explore Bristol Research.

Woolford, Stephen J, Stefania D’Angelo, Giulia Mancano, et al.. (2020). Associations Between Late Pregnancy Dietary Inflammatory Index (DII) and Offspring Bone Mass: A Meta-Analysis of the Southampton Women's Survey (SWS) and the Avon Longitudinal Study of Parents and Children (ALSPAC). Journal of Bone and Mineral Research. 37(8). 1511–1519. 9 indexed citations

Griffith, Gareth J, Jonathan A C Sterne, Gibran Hemani, et al.. (2020). We should be cautious about associations of patient characteristics with COVID-19 outcomes that are identified in hospitalised patients. Bristol Research (University of Bristol). 2 indexed citations

10.

Phillips, Catherine M., Ling‐Wei Chen, Barbara Heude, et al.. (2019). Dietary Inflammatory Index and Non-Communicable Disease Risk: A Narrative Review. Nutrients. 11(8). 1873–1873. 230 indexed citations breakdown →

11.

Hassan, Ahmed M., Giulia Mancano, Karl Kashofer, et al.. (2018). High-fat diet induces depression-like behaviour in mice associated with changes in microbiome, neuropeptide Y, and brain metabolome. Nutritional Neuroscience. 22(12). 877–893. 131 indexed citations

12.

Mancano, Giulia, Marina Mora-Ortiz, & Sandrine P. Claus. (2018). Recent developments in nutrimetabolomics: from food characterisation to disease prevention. Current Opinion in Food Science. 22. 145–152. 6 indexed citations

13.

Beaumont, Martín, Kevin Portune, Annaïg Lan, et al.. (2017). Quantity and source of dietary protein influence metabolite production by gut microbiota and rectal mucosa gene expression: a randomized, parallel, double-blind trial in overweight humans. American Journal of Clinical Nutrition. 106(4). 1005–1019. 182 indexed citations

14.

Mancano, Giulia, Michael J. Page, Mohan Bhadbhade, & Barbara A. Messerle. (2014). Hemilabile and Bimetallic Coordination in Rh and Ir Complexes of NCN Pincer Ligands. Inorganic Chemistry. 53(19). 10159–10170. 42 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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