Debora Franceschini

1.2k total citations
8 papers, 961 citations indexed

About

Debora Franceschini is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Debora Franceschini has authored 8 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Virology. Recurrent topics in Debora Franceschini's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Debora Franceschini is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). Debora Franceschini collaborates with scholars based in Italy, United States and New Zealand. Debora Franceschini's co-authors include Vincenzo Barnaba, Francesca Meloni, Valerio Fulci, Franca Citarella, Giuseppe Macino, Marino Paroli, Melissa Videtta, Stefania Morrone, Mario U. Mondelli and Giancarlo Labbadia and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Blood.

In The Last Decade

Debora Franceschini

8 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debora Franceschini Italy	7	558	340	324	188	94	8	961
Gitta Anne Heinz Germany	13	416 0.7×	475 1.4×	198 0.6×	109 0.6×	50 0.5×	27	962
Dong‐Mei Zhao China	9	955 1.7×	262 0.8×	72 0.2×	316 1.7×	100 1.1×	20	1.2k
Jeffrey A. Carrell United States	8	615 1.1×	192 0.6×	79 0.2×	113 0.6×	64 0.7×	11	866
Christopher Fucile United States	10	509 0.9×	316 0.9×	181 0.6×	49 0.3×	117 1.2×	18	928
Sara Bass United States	14	226 0.4×	206 0.6×	114 0.4×	89 0.5×	296 3.1×	21	800
J Seifert Austria	5	269 0.5×	308 0.9×	49 0.2×	183 1.0×	45 0.5×	6	690
Manuel Albanese Germany	12	257 0.5×	427 1.3×	234 0.7×	301 1.6×	114 1.2×	18	767
Katia Mayol France	9	1.0k 1.8×	213 0.6×	66 0.2×	152 0.8×	85 0.9×	10	1.2k
Camillus Chua Singapore	13	460 0.8×	205 0.6×	92 0.3×	384 2.0×	170 1.8×	18	995

Countries citing papers authored by Debora Franceschini

Since Specialization

Citations

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

Fields of papers citing papers by Debora Franceschini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debora Franceschini

This figure shows the co-authorship network connecting the top 25 collaborators of Debora Franceschini. A scholar is included among the top collaborators of Debora Franceschini 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 Debora Franceschini. Debora Franceschini 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

Lolli, Francesco, Hélène Martini, Debora Franceschini, et al.. (2013). Increased CD8+ T cell responses to apoptotic T cell-associated antigens in multiple sclerosis. Journal of Neuroinflammation. 10(1). 94–94. 26 indexed citations

Franceschini, Debora, Paola Del Porto, Silvia Piconese, et al.. (2012). Polyfunctional Type-1, -2, and -17 CD8+ T Cell Responses to Apoptotic Self-Antigens Correlate with the Chronic Evolution of Hepatitis C Virus Infection. PLoS Pathogens. 8(6). e1002759–e1002759. 18 indexed citations

Curtale, Graziella, Franca Citarella, Claudia Carissimi, et al.. (2009). An emerging player in the adaptive immune response: microRNA-146a is a modulator of IL-2 expression and activation-induced cell death in T lymphocytes. Blood. 115(2). 265–273. 244 indexed citations

Fulci, Valerio, Gian Domenico Sebastiani, Chiara Giannitti, et al.. (2009). miR-223 is overexpressed in T-lymphocytes of patients affected by rheumatoid arthritis. Human Immunology. 71(2). 206–211. 224 indexed citations

Franceschini, Debora, Marino Paroli, Vittorio Francavilla, et al.. (2009). PD-L1 negatively regulates CD4+CD25+Foxp3+ Tregs by limiting STAT-5 phosphorylation in patients chronically infected with HCV. Journal of Clinical Investigation. 119(3). 551–564. 259 indexed citations

Rawson, Pisana, Caroline Molette, Melissa Videtta, et al.. (2007). Cross-presentation of caspase-cleaved apoptotic self antigens in HIV infection. Nature Medicine. 13(12). 1431–1439. 70 indexed citations

Rawson, Pisana, Caroline Molette, Melissa Videtta, et al.. (2007). Cross-presentation of caspase-cleaved apoptotic self-antigens in HIV infection. Protocol Exchange. 1 indexed citations

Lapenta, Caterina, Stefano M. Santini, Massimo Spada, et al.. (2006). IFN‐α‐conditioned dendritic cells are highly efficient in inducing cross‐priming CD8⁺ T cells against exogenous viral antigens. European Journal of Immunology. 36(8). 2046–2060. 119 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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