Arianna Alfieri

959 total citations
8 papers, 588 citations indexed

About

Arianna Alfieri is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Arianna Alfieri has authored 8 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Hepatology and 4 papers in Immunology. Recurrent topics in Arianna Alfieri's work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Arianna Alfieri is often cited by papers focused on Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (5 papers) and Liver Disease Diagnosis and Treatment (3 papers). Arianna Alfieri collaborates with scholars based in Italy and United States. Arianna Alfieri's co-authors include Pietro Lampertico, Carlo Ferrari, T. Giuberti, Carolina Boni, Diletta Laccabue, Gabriele Missale, Simona Schivazappa, Mauro Viganò, Giuseppina Brancaccio and Giovanni Battista Gaeta and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Hepatology.

In The Last Decade

Arianna Alfieri

7 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arianna Alfieri Italy	6	526	438	195	68	32	8	588
Marjoleine L. Op den Brouw Netherlands	6	546 1.0×	427 1.0×	210 1.1×	63 0.9×	54 1.7×	7	606
Gertine W. van Oord Netherlands	13	373 0.7×	313 0.7×	269 1.4×	68 1.0×	21 0.7×	21	537
Jan Grabowski Germany	10	271 0.5×	381 0.9×	199 1.0×	106 1.6×	28 0.9×	13	532
Norma D. Churchill Canada	14	420 0.8×	328 0.7×	95 0.5×	59 0.9×	33 1.0×	17	479
Corinna M. Bremer Germany	11	470 0.9×	405 0.9×	59 0.3×	63 0.9×	68 2.1×	13	552
Mark H. van Roosmalen Netherlands	6	313 0.6×	242 0.6×	120 0.6×	55 0.8×	39 1.2×	9	350
Patricia M. Mulrooney‐Cousins Canada	15	442 0.8×	391 0.9×	50 0.3×	57 0.8×	23 0.7×	19	476
Pia L. Seiz Germany	6	297 0.6×	254 0.6×	103 0.5×	65 1.0×	20 0.6×	7	345
Till Bornscheuer Germany	5	335 0.6×	297 0.7×	42 0.2×	54 0.8×	41 1.3×	8	383
Wilma P. Paulij Netherlands	11	413 0.8×	364 0.8×	97 0.5×	51 0.8×	33 1.0×	16	460

Countries citing papers authored by Arianna Alfieri

Since Specialization

Citations

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

Fields of papers citing papers by Arianna Alfieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Alfieri

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

All Works

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8 of 8 papers shown

Acerbi, Greta, Ilaria Montali, Valeria Barili, et al.. (2020). Functional reconstitution of HBV-specific CD8 T cells by in vitro polyphenol treatment in chronic hepatitis B. Journal of Hepatology. 74(4). 783–793. 38 indexed citations

Boni, Carolina, Andrea Vecchi, Marzia Rossi, et al.. (2018). TLR7 Agonist Increases Responses of Hepatitis B Virus–Specific T Cells and Natural Killer Cells in Patients With Chronic Hepatitis B Treated With Nucleos(T)Ide Analogues. Gastroenterology. 154(6). 1764–1777.e7. 112 indexed citations

Brancaccio, Giuseppina, Alessandra Nardi, Salvatore Madonia, et al.. (2018). The present profile of chronic hepatitis B virus infection highlights future challenges. Digestive and Liver Disease. 51(3). 438–442. 12 indexed citations

Fisicaro, Paola, Valeria Barili, Greta Acerbi, et al.. (2017). Proteasome dysfunction as a reversible defect underlying virus-specific CD8 cell exhaustion in chronic hepatitis B. Journal of Hepatology. 66(1). S30–S30. 5 indexed citations

Boni, Carolina, Pietro Lampertico, T. Giuberti, et al.. (2015). Natural killer cell phenotype modulation and natural killer/T‐cell interplay in nucleos(t)ide analogue‐treated hepatitis e antigen‐negative patients with chronic hepatitis B. Hepatology. 62(6). 1697–1709. 69 indexed citations

Boni, Carolina, Diletta Laccabue, Pietro Lampertico, et al.. (2012). Restored Function of HBV-Specific T Cells After Long-term Effective Therapy With Nucleos(t)ide Analogues. Gastroenterology. 143(4). 963–973.e9. 290 indexed citations

Penna, Amalia, Diletta Laccabue, T. Giuberti, et al.. (2012). Peginterferon-α does not improve early peripheral blood HBV-specific T-cell responses in HBeAg-negative chronic hepatitis. Journal of Hepatology. 56(6). 1239–1246. 62 indexed citations

Juliano, Raquel Soares, Maria Clorínda Soares Fíoravantí, J. R. B. Sereno, et al.. (2011). Aspectos sanitários dos núcleos de conservação in situ de bovinos pantaneiros.. infoteca-e (Brazilian Agricultural Research Corporation).

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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