Flora Castellino

7.7k total citations · 1 hit paper
42 papers, 3.8k citations indexed

About

Flora Castellino is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Flora Castellino has authored 42 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 17 papers in Epidemiology and 12 papers in Molecular Biology. Recurrent topics in Flora Castellino's work include Influenza Virus Research Studies (16 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (11 papers). Flora Castellino is often cited by papers focused on Influenza Virus Research Studies (16 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (11 papers). Flora Castellino collaborates with scholars based in Italy, United States and Germany. Flora Castellino's co-authors include Ronald N. Germain, Giuseppe Del Giudice, Alex Y. Huang, Sabine Stoll, Grégoire Altan‐Bonnet, Clemens Scheinecker, Rino Rappuoli, Surender Khurana, Hana Golding and Grazia Galli and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Flora Castellino

42 papers receiving 3.8k 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.

Chemokines enhance immunity by guiding naive CD8+ T cells to sites of CD4+ T cell–dendritic cell interaction

2006 645 citations Flora Castellino, Alex Y. Huang et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Flora Castellino Italy	28	2.6k	1.2k	1.0k	532	397	42	3.8k
Masahiko Sugita Japan	37	3.7k 1.4×	664 0.5×	612 0.6×	387 0.7×	472 1.2×	101	4.7k
Andrea J. Sant United States	39	2.8k 1.1×	1.7k 1.4×	1.4k 1.4×	533 1.0×	196 0.5×	124	4.5k
Jason K. Whitmire United States	43	4.0k 1.5×	954 0.8×	907 0.9×	778 1.5×	664 1.7×	77	5.6k
Wolfgang W. Leitner United States	27	1.9k 0.7×	668 0.5×	2.4k 2.4×	567 1.1×	511 1.3×	82	4.7k
Chantal Rabourdin‐Combe France	39	2.7k 1.0×	1.8k 1.5×	1.4k 1.4×	734 1.4×	469 1.2×	94	5.0k
Joshy Jacob United States	33	4.3k 1.7×	1.1k 0.9×	1.3k 1.3×	533 1.0×	510 1.3×	60	5.9k
Jeff Alexander United States	42	3.6k 1.4×	1.2k 1.0×	1.7k 1.7×	660 1.2×	492 1.2×	89	5.5k
Tal I. Arnon Israel	25	4.3k 1.6×	771 0.6×	605 0.6×	190 0.4×	631 1.6×	33	5.1k
Daniel D. Pinschewer Switzerland	38	2.7k 1.1×	733 0.6×	1.1k 1.1×	1.3k 2.4×	447 1.1×	98	4.8k
Florian Heil United States	9	2.8k 1.1×	669 0.5×	1.3k 1.3×	337 0.6×	606 1.5×	11	4.1k

Countries citing papers authored by Flora Castellino

Since Specialization

Citations

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

Fields of papers citing papers by Flora Castellino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flora Castellino

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

All Works

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20 of 20 papers shown

Spensieri, Fabiana, Emilio Siena, Erica Borgogni, et al.. (2016). Early Rise of Blood T Follicular Helper Cell Subsets and Baseline Immunity as Predictors of Persisting Late Functional Antibody Responses to Vaccination in Humans. PLoS ONE. 11(6). e0157066–e0157066. 37 indexed citations

Domina, Maria, Veronica Lanza Cariccio, Salvatore Benfatto, et al.. (2016). Functional characterization of a monoclonal antibody epitope using a lambda phage display-deep sequencing platform. Scientific Reports. 6(1). 31458–31458. 9 indexed citations

Eberhardt, Christiane S., Floriane Auderset, Flora Castellino, et al.. (2015). MF59 Mediates Its B Cell Adjuvanticity by Promoting T Follicular Helper Cells and Thus Germinal Center Responses in Adult and Early Life. The Journal of Immunology. 194(10). 4836–4845. 106 indexed citations

Domina, Maria, Veronica Lanza Cariccio, Salvatore Benfatto, et al.. (2014). Rapid Profiling of the Antigen Regions Recognized by Serum Antibodies Using Massively Parallel Sequencing of Antigen-Specific Libraries. PLoS ONE. 9(12). e114159–e114159. 13 indexed citations

Cioppa, Giovanni Della, Uwe Nicolay, Kelly Lindert, et al.. (2014). A dose-ranging study in older adults to compare the safety and immunogenicity profiles of MF59®-adjuvanted and non-adjuvanted seasonal influenza vaccines following intradermal and intramuscular administration. Human Vaccines & Immunotherapeutics. 10(6). 1701–1710. 26 indexed citations

Bardelli, Monia, Francesca Buricchi, Simona Tavarini, et al.. (2013). Ex Vivo Analysis of Human Memory B Lymphocytes Specific for A and B Influenza Hemagglutinin by Polychromatic Flow-Cytometry. PLoS ONE. 8(8). e70620–e70620. 9 indexed citations

Cioppa, Giovanni Della, Uwe Nicolay, Kelly Lindert, et al.. (2012). Superior immunogenicity of seasonal influenza vaccines containing full dose of MF59^®adjuvant. Human Vaccines & Immunotherapeutics. 8(2). 216–227. 30 indexed citations

Agrati, Chiara, Cristiana Gioia, Concetta Castilletti, et al.. (2012). Cellular and Humoral Immune Responses to Pandemic Influenza Vaccine in Healthy and in Highly Active Antiretroviral Therapy-Treated HIV Patients. AIDS Research and Human Retroviruses. 28(12). 1606–1616. 11 indexed citations

Zedda, Luisanna, Monia Bardelli, Fabiana Spensieri, et al.. (2012). One dose of an MF59-adjuvanted pandemic A/H1N1 vaccine recruits pre-existing immune memory and induces the rapid rise of neutralizing antibodies. Vaccine. 30(27). 4086–4094. 24 indexed citations

10.

Soldaini, Elisabetta, et al.. (2011). Helicobacter pylori Induces Activation of Human Peripheral γδ+ T Lymphocytes. PLoS ONE. 6(4). e19324–e19324. 9 indexed citations

11.

Khurana, Surender, Wanida Chearwae, Flora Castellino, et al.. (2010). Vaccines with MF59 Adjuvant Expand the Antibody Repertoire to Target Protective Sites of Pandemic Avian H5N1 Influenza Virus. Science Translational Medicine. 2(15). 15ra5–15ra5. 224 indexed citations

12.

Galli, Grazia, Duccio Medini, Erica Borgogni, et al.. (2009). Adjuvanted H5N1 vaccine induces early CD4⁺T cell response that predicts long-term persistence of protective antibody levels. Proceedings of the National Academy of Sciences. 106(10). 3877–3882. 202 indexed citations

13.

Germain, Ronald N., Marc Bajénoff, Flora Castellino, et al.. (2008). Making friends in out‐of‐the‐way places: how cells of the immune system get together and how they conduct their business as revealed by intravital imaging. Immunological Reviews. 221(1). 163–181. 71 indexed citations

14.

Castellino, Flora & Ronald N. Germain. (2007). Chemokine-Guided CD4+ T Cell Help Enhances Generation of IL-6RαhighIL-7Rαhigh Prememory CD8+ T Cells. The Journal of Immunology. 178(2). 778–787. 73 indexed citations

15.

Castellino, Flora, Alex Y. Huang, Grégoire Altan‐Bonnet, et al.. (2006). Chemokines enhance immunity by guiding naive CD8+ T cells to sites of CD4+ T cell–dendritic cell interaction. Nature. 440(7086). 890–895. 645 indexed citations breakdown →

16.

Germain, Ronald N., Flora Castellino, Marcello Chieppa, et al.. (2005). An extended vision for dynamic high-resolution intravital immune imaging. Seminars in Immunology. 17(6). 431–441. 49 indexed citations

17.

Thibodeau, Jacques, et al.. (1999). Cellular distribution of a mixed MHC class II heterodimer between DRα and a chimeric DOβ chain. International Immunology. 11(1). 99–111. 10 indexed citations

18.

Castellino, Flora, Guangming Zhong, & Ronald N. Germain. (1997). Antigen Presentation by MHC Class II Molecules: Invariant Chain Function, Protein Trafficking, and the Molecular Basis of Diverse Determinant Capture. Human Immunology. 54(2). 159–169. 106 indexed citations

19.

Zhong, Guangming, Flora Castellino, Paola Romagnoli, & R N Germain. (1996). Evidence that binding site occupancy is necessary and sufficient for effective major histocompatibility complex (MHC) class II transport through the secretory pathway redefines the primary function of class II-associated invariant chain peptides (CLIP).. The Journal of Experimental Medicine. 184(5). 2061–2066. 71 indexed citations

20.

Colotta, Francesco, et al.. (1990). Interleukin-2 Receptor Expression in Human Mast Cells and Basophils. International Archives of Allergy and Immunology. 91(1). 8–14. 21 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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