Iolanda Boffa

665 total citations
10 papers, 274 citations indexed

About

Iolanda Boffa is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Iolanda Boffa has authored 10 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Genetics. Recurrent topics in Iolanda Boffa's work include CAR-T cell therapy research (6 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Iolanda Boffa is often cited by papers focused on CAR-T cell therapy research (6 papers), Virus-based gene therapy research (3 papers) and CRISPR and Genetic Engineering (3 papers). Iolanda Boffa collaborates with scholars based in Italy, Netherlands and Switzerland. Iolanda Boffa's co-authors include Franco Locatelli, Marika Guercio, Matilde Sinibaldi, Biagio De Angelis, Concetta Quintarelli, Domenico Orlando, Vinicia Assunta Polito, Ignazio Caruana, Francesca Del Bufalo and Massimo Zollo and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Iolanda Boffa

8 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iolanda Boffa Italy	7	186	106	99	63	59	10	274
Anne M. Miermont United States	7	239 1.3×	111 1.0×	97 1.0×	86 1.4×	57 1.0×	11	346
Susmita Mandal India	10	109 0.6×	152 1.4×	29 0.3×	23 0.4×	26 0.4×	21	276
Gustav Jonsson Austria	6	159 0.9×	60 0.6×	158 1.6×	13 0.2×	23 0.4×	10	268
Gunjan Dagar India	8	156 0.8×	129 1.2×	64 0.6×	37 0.6×	45 0.8×	16	283
Cai Sun China	8	84 0.5×	100 0.9×	52 0.5×	12 0.2×	17 0.3×	19	214
Gary Simmons United States	9	169 0.9×	144 1.4×	31 0.3×	8 0.1×	13 0.2×	22	291
Su Phyu United States	10	124 0.7×	107 1.0×	73 0.7×	10 0.2×	24 0.4×	20	243
Zongliang Yue United States	9	29 0.2×	99 0.9×	53 0.5×	14 0.2×	21 0.4×	36	232
Allyson C. Banville Canada	4	197 1.1×	107 1.0×	191 1.9×	7 0.1×	27 0.5×	5	373
Hiroyuki Yoda Japan	10	104 0.6×	194 1.8×	18 0.2×	12 0.2×	12 0.2×	20	285

Countries citing papers authored by Iolanda Boffa

Since Specialization

Citations

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

Fields of papers citing papers by Iolanda Boffa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iolanda Boffa

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

All Works

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10 of 10 papers shown

1.

Rinaldi, Antonio, Francesca Cella Zanacchi, Iolanda Boffa, et al.. (2025). Computational identification of small molecules for increased gene expression by synthetic circuits in mammalian cells. Nature Communications. 16(1). 7160–7160.

2.

Boffa, Iolanda, et al.. (2024). Liver gene transfer for metabolite detoxification in inherited metabolic diseases. FEBS Letters. 598(19). 2372–2384. 5 indexed citations

3.

Boffa, Iolanda, Elena Polishchuk, Edoardo Nusco, et al.. (2023). Liver‐directed gene therapy for ornithine aminotransferase deficiency. EMBO Molecular Medicine. 15(4). e17033–e17033. 11 indexed citations

4.

Guercio, Marika, Simona Manni, Iolanda Boffa, et al.. (2021). Inclusion of the Inducible Caspase 9 Suicide Gene in CAR Construct Increases Safety of CAR.CD19 T Cell Therapy in B-Cell Malignancies. Frontiers in Immunology. 12. 755639–755639. 49 indexed citations

5.

Angelis, Biagio De, Marika Guercio, Domenico Orlando, et al.. (2019). A New Promising Third Generation CAR-CD30 T-Cell Therapy for CD30+ Lymphoma. Blood. 134(Supplement_1). 2069–2069.

6.

Orlando, Domenico, Evelina Miele, Biagio De Angelis, et al.. (2018). Adoptive Immunotherapy Using PRAME-Specific T Cells in Medulloblastoma. Cancer Research. 78(12). 3337–3349. 56 indexed citations

7.

Quintarelli, Concetta, Domenico Orlando, Iolanda Boffa, et al.. (2018). Choice of costimulatory domains and of cytokines determines CAR T-cell activity in neuroblastoma. OncoImmunology. 7(6). e1433518–e1433518. 106 indexed citations

8.

Quintarelli, Concetta, Simona Sivori, Simona Caruso, et al.. (2018). CD19 Redirected CAR NK Cells Are Equally Effective but Less Toxic Than CAR T Cells. Blood. 132(Supplement 1). 3491–3491. 9 indexed citations

9.

Ferrucci, Veronica, et al.. (2015). Natural compounds for pediatric cancer treatment. Naunyn-Schmiedeberg s Archives of Pharmacology. 389(2). 131–149. 26 indexed citations

10.

Carotenuto, Marianeve, Pasqualino De Antonellis, Iolanda Boffa, et al.. (2014). A therapeutic approach to treat prostate cancer by targeting Nm23-H1/h-Prune interaction. Naunyn-Schmiedeberg s Archives of Pharmacology. 388(2). 257–269. 12 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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