Sergio Vai

1.6k total citations · 1 hit paper
6 papers, 971 citations indexed

About

Sergio Vai is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sergio Vai has authored 6 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sergio Vai's work include Sarcoma Diagnosis and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Cells and Metastasis (2 papers). Sergio Vai is often cited by papers focused on Sarcoma Diagnosis and Treatment (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Cells and Metastasis (2 papers). Sergio Vai collaborates with scholars based in Italy, United States and Israel. Sergio Vai's co-authors include R Miniero, Memet Aker, Antonella Tabucchi, Alessandra Mortellaro, Maria Grazia Roncarolo, E. Marinello, Francesca Ficara, Claudio Bordignon, Sara Deola and Alessandro Aiuti and has published in prestigious journals such as Science, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sergio Vai

6 papers receiving 932 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.

Correction of ADA-SCID by Stem Cell Gene Therapy Combined with Nonmyeloablative Conditioning

2002 808 citations Alessandro Aiuti, Shimon Slavin et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Vai Italy	6	702	663	369	109	77	6	971
M L Veronese United States	15	432 0.6×	622 0.9×	339 0.9×	157 1.4×	74 1.0×	26	1.1k
Sara Deola Italy	13	729 1.0×	719 1.1×	446 1.2×	270 2.5×	82 1.1×	32	1.2k
John L. Smith United Kingdom	10	410 0.6×	391 0.6×	317 0.9×	142 1.3×	56 0.7×	15	780
Byoung Y. Ryu United States	15	339 0.5×	634 1.0×	222 0.6×	102 0.9×	57 0.7×	48	949
Maureen Ward United States	16	676 1.0×	793 1.2×	404 1.1×	126 1.2×	84 1.1×	39	1.1k
DA Williams United States	7	407 0.6×	425 0.6×	203 0.6×	117 1.1×	54 0.7×	15	743
Gilda F. Linton United States	15	420 0.6×	407 0.6×	347 0.9×	506 4.6×	91 1.2×	24	1.1k
Nancy Pech United States	15	278 0.4×	299 0.5×	217 0.6×	398 3.7×	47 0.6×	26	764
Maria Carmina Castiello Italy	17	305 0.4×	320 0.5×	174 0.5×	345 3.2×	64 0.8×	27	785
Emma D’Andrea Italy	16	254 0.4×	294 0.4×	283 0.8×	103 0.9×	83 1.1×	37	721

Countries citing papers authored by Sergio Vai

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Vai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Vai

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Deola, Sara, Samantha Scaramuzza, Francesca Ficara, et al.. (2007). Molecular purging of multiple myeloma cells by ex-vivo culture and retroviral transduction of mobilized-blood CD34+ cells. Journal of Translational Medicine. 5(1). 35–35. 7 indexed citations

2.

Sanctis, Luisa De, et al.. (2004). Brachydactyly in 14 Genetically Characterized Pseudohypoparathyroidism Type Ia Patients. The Journal of Clinical Endocrinology & Metabolism. 89(4). 1650–1655. 38 indexed citations

3.

Aiuti, Alessandro, Shimon Slavin, Memet Aker, et al.. (2002). Correction of ADA-SCID by Stem Cell Gene Therapy Combined with Nonmyeloablative Conditioning. Science. 296(5577). 2410–2413. 808 indexed citations breakdown →

4.

Busca, Alessandro, M Giacchino, Sergio Vai, et al.. (1999). Analysis of early infectious complications in pediatric patients undergoing bone marrow transplantation. Supportive Care in Cancer. 7(4). 253–259. 20 indexed citations

5.

Ricotti, Emanuela, Franca Fagioli, Emanuela Garelli, et al.. (1998). c-kit Is Expressed in Soft Tissue Sarcoma of Neuroectodermic Origin and Its Ligand Prevents Apoptosis of Neoplastic Cells. Blood. 91(7). 2397–2405. 86 indexed citations

6.

Ricotti, Emanuela, Franca Fagioli, Emanuela Garelli, et al.. (1998). c-kit Is Expressed in Soft Tissue Sarcoma of Neuroectodermic Origin and Its Ligand Prevents Apoptosis of Neoplastic Cells. Blood. 91(7). 2397–2405. 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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