Flavia D’Alessio

484 total citations
9 papers, 314 citations indexed

About

Flavia D’Alessio is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics. According to data from OpenAlex, Flavia D’Alessio has authored 9 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Nutrition and Dietetics. Recurrent topics in Flavia D’Alessio's work include Iron Metabolism and Disorders (4 papers), Trace Elements in Health (3 papers) and Influenza Virus Research Studies (2 papers). Flavia D’Alessio is often cited by papers focused on Iron Metabolism and Disorders (4 papers), Trace Elements in Health (3 papers) and Influenza Virus Research Studies (2 papers). Flavia D’Alessio collaborates with scholars based in Germany, United Kingdom and United States. Flavia D’Alessio's co-authors include Martina U. Muckenthaler, Matthias W. Hentze, Sandro Altamura, Barbara Selle, Sophie Houard, Stefan Legewie, Guillem Casanovas, Philip D. King, Georg Damm and Christopher C. Oakes and has published in prestigious journals such as Blood, Biochemical Journal and Journal of Hepatology.

In The Last Decade

Flavia D’Alessio

9 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flavia D’Alessio Germany 6 222 183 126 35 35 9 314
Dimitrios Politis Greece 5 87 0.4× 77 0.4× 27 0.2× 8 0.2× 9 0.3× 12 176
D. Vassilief France 6 262 1.2× 190 1.0× 11 0.1× 42 1.2× 15 0.4× 11 292
Savaş Kansoy Türkiye 10 55 0.2× 56 0.3× 10 0.1× 20 0.6× 21 0.6× 18 219
Hana Grombiříková Czechia 6 27 0.1× 58 0.3× 22 0.2× 89 2.5× 7 0.2× 12 223
R Musso Italy 12 303 1.4× 71 0.4× 5 0.0× 53 1.5× 5 0.1× 17 412
Hélène Savel France 6 117 0.5× 23 0.1× 9 0.1× 40 1.1× 21 0.6× 12 305
David F. Moreno Spain 9 113 0.5× 72 0.4× 6 0.0× 105 3.0× 102 2.9× 38 299
Najla Mekki Tunisia 9 24 0.1× 15 0.1× 28 0.2× 35 1.0× 9 0.3× 21 170
Véronique Leblond France 9 74 0.3× 98 0.5× 4 0.0× 37 1.1× 6 0.2× 21 295
Junichi Miyatake Japan 10 58 0.3× 28 0.2× 5 0.0× 64 1.8× 12 0.3× 27 220

Countries citing papers authored by Flavia D’Alessio

Since Specialization
Citations

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

Fields of papers citing papers by Flavia D’Alessio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Flavia D’Alessio. 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 Flavia D’Alessio. The network helps show where Flavia D’Alessio may publish in the future.

Co-authorship network of co-authors of Flavia D’Alessio

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

All Works

9 of 9 papers shown
1.
D’Alessio, Flavia, Gerrit Koopman, Sophie Houard, et al.. (2018). Workshop report: Experimental animal models for universal influenza vaccines. Vaccine. 36(46). 6895–6901. 5 indexed citations
2.
D’Alessio, Flavia, et al.. (2017). Workshop report: Immunoassay standardisation for “universal” influenza vaccines. Influenza and Other Respiratory Viruses. 11(3). 194–201. 15 indexed citations
3.
Chêne, Arnaud, Sophie Houard, Morten A. Nielsen, et al.. (2016). Clinical development of placental malaria vaccines and immunoassays harmonization: a workshop report. Malaria Journal. 15(1). 476–476. 27 indexed citations
4.
Viebig, Nicola K., Flavia D’Alessio, Simon J. Draper, et al.. (2015). Workshop report: Malaria vaccine development in Europe–preparing for the future. Vaccine. 33(46). 6137–6144. 5 indexed citations
5.
Mleczko‐Sanecka, Katarzyna, Flavia D’Alessio, Anan Ragab, et al.. (2014). Unbiased RNAi screen for hepcidin regulators links hepcidin suppression to proliferative Ras/RAF and nutrient-dependent mTOR signaling. Blood. 123(10). 1574–1585. 59 indexed citations
6.
Casanovas, Guillem, et al.. (2014). A Multi-Scale Model of Hepcidin Promoter Regulation Reveals Factors Controlling Systemic Iron Homeostasis. PLoS Computational Biology. 10(1). e1003421–e1003421. 19 indexed citations
7.
Weaver, John C., et al.. (2012). Initial assessment of strategic plans for improving the performance of Veterinary Services in developing countries: a review of OIE PVS Gap Analysis reports. Revue Scientifique et Technique de l OIE. 31(2). 631–645. 4 indexed citations
8.
D’Alessio, Flavia, Matthias W. Hentze, & Martina U. Muckenthaler. (2012). The hemochromatosis proteins HFE, TfR2, and HJV form a membrane-associated protein complex for hepcidin regulation. Journal of Hepatology. 57(5). 1052–1060. 146 indexed citations
9.
Altamura, Sandro, Flavia D’Alessio, Barbara Selle, & Martina U. Muckenthaler. (2010). A novel TMPRSS6 mutation that prevents protease auto-activation causes IRIDA. Biochemical Journal. 431(3). 363–371. 34 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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