Franco Giulianini

12.9k total citations
20 papers, 807 citations indexed

About

Franco Giulianini is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Franco Giulianini has authored 20 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Franco Giulianini's work include Metabolomics and Mass Spectrometry Studies (5 papers), Nutritional Studies and Diet (4 papers) and Genetic Associations and Epidemiology (3 papers). Franco Giulianini is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Nutritional Studies and Diet (4 papers) and Genetic Associations and Epidemiology (3 papers). Franco Giulianini collaborates with scholars based in United States, Switzerland and United Kingdom. Franco Giulianini's co-authors include Paul M. Ridker, Daniel I. Chasman, Fredrik Nyberg, Jean MacFadyen, Bryan J. Barratt, Nina P. Paynter, JoAnn E. Manson, Raji Balasubramanian, Kathryn M. Rexrode and Clary B. Clish and has published in prestigious journals such as Circulation, Nature Communications and Circulation Research.

In The Last Decade

Franco Giulianini

19 papers receiving 792 citations

Peers

Franco Giulianini

SURGE

PHYSI

GENET

EDM

Maria Mirabelli Italy

Mengyao Shi China

Andrea Tumminia Italy

Sarra Smati France

Louisa Goumidi France

Nasser Rizk Qatar

Xiang Hong-ding China

Junji Saruwatari Japan

Adriana Huertas‐Vázquez United States

Susan A. Lagerstedt United States

Maria Mirabelli Italy

Franco Giulianini

311 ×1.0

134 ×0.7

SURGE

306 ×1.8

PHYSI

72 ×0.5

GENET

224 ×1.8

EDM

Citations per year, relative to Franco Giulianini Franco Giulianini (= 1×) peers Maria Mirabelli

Countries citing papers authored by Franco Giulianini

Since Specialization

Citations

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

Fields of papers citing papers by Franco Giulianini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franco Giulianini

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Chunying, et al.. (2025). Development and Validation of Novel Residual Risk Scores for Patients With ASCVD. JACC Advances. 4(11). 102162–102162.

Li, Chunying, Zareen Farukhi, Franco Giulianini, et al.. (2024). Tailoring Risk Prediction Models to Local Populations. JAMA Cardiology. 9(11). 1018–1018. 9 indexed citations

Hoshi, Rosangela, Yanyan Liu, Heike Luttmann‐Gibson, et al.. (2022). Association of Physical Activity With Bioactive Lipids and Cardiovascular Events. Circulation Research. 131(4). e84–e99. 12 indexed citations

Chasman, Daniel I., Craig Hyde, Franco Giulianini, et al.. (2022). Genome-wide pharmacogenetics of anti-drug antibody response to bococizumab highlights key residues in HLA DRB1 and DQB1. Scientific Reports. 12(1). 4266–4266. 4 indexed citations

Westerman, Kenneth E., Timothy D. Majarian, Franco Giulianini, et al.. (2022). Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers. Nature Communications. 13(1). 3993–3993. 20 indexed citations

Guo, Yanjun, Iyas Daghlas, Padhraig Gormley, et al.. (2021). Phenotypic and Genotypic Associations Between Migraine and Lipoprotein Subfractions. Neurology. 97(22). e2223–e2235. 13 indexed citations

Kossowsky, Joe, Megan S. Schuler, Franco Giulianini, et al.. (2021). Association of Genetic Variants With Migraine Subclassified by Clinical Symptoms in Adult Females. Frontiers in Neurology. 11. 617472–617472. 5 indexed citations

Chandler, Paulette D., Raji Balasubramanian, Nina P. Paynter, et al.. (2020). Metabolic signatures associated with Western and Prudent dietary patterns in women. American Journal of Clinical Nutrition. 112(2). 268–283. 19 indexed citations

Chasman, Daniel I., Franco Giulianini, Olga Demler, & Miriam S. Udler. (2020). Pleiotropy-Based Decomposition of Genetic Risk Scores: Association and Interaction Analysis for Type 2 Diabetes and CAD. The American Journal of Human Genetics. 106(5). 646–658. 11 indexed citations

10.

Balasubramanian, Raji, Nina P. Paynter, Franco Giulianini, et al.. (2019). Metabolomic profiles associated with all-cause mortality in the Women’s Health Initiative. International Journal of Epidemiology. 49(1). 289–300. 26 indexed citations

11.

Tabung, Fred K., Edward L. Giovannucci, Franco Giulianini, et al.. (2018). An Empirical Dietary Inflammatory Pattern Score Is Associated with Circulating Inflammatory Biomarkers in a Multi-Ethnic Population of Postmenopausal Women in the United States. Journal of Nutrition. 148(5). 771–780. 49 indexed citations

12.

Paynter, Nina P., Raji Balasubramanian, Franco Giulianini, et al.. (2018). Metabolic Predictors of Incident Coronary Heart Disease in Women. Circulation. 137(8). 841–853. 143 indexed citations

13.

Wang, Rui‐Sheng, et al.. (2017). Network analysis of the genomic basis of the placebo effect. JCI Insight. 2(11). 30 indexed citations

14.

Rexrode, Kathryn M., Raji Balasubramanian, Nina P. Paynter, et al.. (2017). Abstract P192: Metabolomic Profiles Associated with Total and CVD Mortality in Women. Circulation. 135(suppl_1). 1 indexed citations

15.

Ghiassian, Susan Dina, Jörg Menche, Daniel I. Chasman, et al.. (2016). Endophenotype Network Models: Common Core of Complex Diseases. Scientific Reports. 6(1). 27414–27414. 70 indexed citations

16.

Chandler, Paulette D., Raji Balasubramanian, Nina P. Paynter, et al.. (2016). Abstract P278: Metabolomic Profiles Associated with Dietary Patterns in Women. Circulation. 133(suppl_1). 1 indexed citations

17.

Chu, Audrey Y., Franco Giulianini, Bryan J. Barratt, et al.. (2015). Differential Genetic Effects on Statin-Induced Changes Across Low-Density Lipoprotein–Related Measures. Circulation Cardiovascular Genetics. 8(5). 688–695. 4 indexed citations

18.

Chu, Audrey Y., Tsegaselassie Workalemahu, Nina P. Paynter, et al.. (2013). Novel locus including FGF21 is associated with dietary macronutrient intake. Human Molecular Genetics. 22(9). 1895–1902. 138 indexed citations

19.

Mazer, Norman A., Franco Giulianini, Nina P. Paynter, Paul Jordan, & Samia Mora. (2013). A Comparison of the Theoretical Relationship between HDL Size and the Ratio of HDL Cholesterol to Apolipoprotein A-I with Experimental Results from the Women's Health Study. Clinical Chemistry. 59(6). 949–958. 44 indexed citations

20.

Chasman, Daniel I., Franco Giulianini, Jean MacFadyen, et al.. (2012). Genetic Determinants of Statin-Induced Low-Density Lipoprotein Cholesterol Reduction. Circulation Cardiovascular Genetics. 5(2). 257–264. 208 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.

Explore authors with similar magnitude of impact