Arabella Neva

540 total citations
11 papers, 364 citations indexed

About

Arabella Neva is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Arabella Neva has authored 11 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Arabella Neva's work include Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Arabella Neva is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Mesenchymal stem cell research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Arabella Neva collaborates with scholars based in Italy, Belgium and Argentina. Arabella Neva's co-authors include Rosanna Verardi, Fulvio Porta, Evelina Mazzolari, Arnalda Lanfranchi, T. Frusca, Maurilia Fiorini, S. Pecorelli, Duilio Brugnoni, Georg S. Wengler and Silvia Giliani and has published in prestigious journals such as The Lancet, Blood and Scientific Reports.

In The Last Decade

Arabella Neva

11 papers receiving 359 citations

Peers

Arabella Neva

HEMAT

IMMUN

GENET

PPCH

Laura Tabellini United States

F Baron Belgium

Junming Tong Italy

Marie Jaksch Sweden

Sergi Querol Spain

Heather E. Stefanski United States

Petter Svenberg Sweden

Laura Todt United States

Toshihiro Onishi Japan

Tsuyoshi Takahashi Japan

Laura Tabellini United States

Arabella Neva

308 ×2.1

HEMAT

264 ×2.1

IMMUN

107 ×1.0

203 ×1.9

GENET

52 ×0.7

PPCH

Citations per year, relative to Arabella Neva Arabella Neva (= 1×) peers Laura Tabellini

Countries citing papers authored by Arabella Neva

Since Specialization

Citations

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

Fields of papers citing papers by Arabella Neva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arabella Neva

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

All Works

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11 of 11 papers shown

Zendrini, Andrea, Lucia Paolini, Miriam Romano, et al.. (2024). Extracellular vesicles of different cellular origin feature distinct biomolecular corona dynamics. Nanoscale Horizons. 10(1). 104–112. 6 indexed citations

Bianchetti, Andrea, Clizia Chinello, Michele Guindani, et al.. (2021). A Blood Bank Standardized Production of Human Platelet Lysate for Mesenchymal Stromal Cell Expansion: Proteomic Characterization and Biological Effects. Frontiers in Cell and Developmental Biology. 9. 650490–650490. 10 indexed citations

Almici, Camillo, Arabella Neva, Cristina Skert, et al.. (2019). Counting circulating endothelial cells in allo-HSCT: an ad hoc designed polychromatic flowcytometry-based panel versus the CellSearch System. Scientific Reports. 9(1). 87–87. 12 indexed citations

Almici, Camillo, Benedetto Bruno, Andrea Bianchetti, et al.. (2017). Circulating endothelial cell count: a reliable marker of endothelial damage in patients undergoing hematopoietic stem cell transplantation. Bone Marrow Transplantation. 52(12). 1637–1642. 30 indexed citations

Lanuti, Paola, Gianluca Rotta, Camillo Almici, et al.. (2015). Endothelial progenitor cells, defined by the simultaneous surface expression of VEGFR2 and CD133, are not detectable in healthy peripheral and cord blood. Cytometry Part A. 89(3). 259–270. 42 indexed citations

Almici, Camillo, Cristina Skert, Rosanna Verardi, et al.. (2014). Changes in Circulating Endothelial Cells Count Could Become a Valuable Tool in the Diagnostic Definition of Acute Graft-Versus-Host Disease. Transplantation. 98(7). 706–712. 25 indexed citations

Luca, Angela De, Rosanna Verardi, Arabella Neva, et al.. (2013). Comparative Analysis of Mesenchymal Stromal Cells Biological Properties. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 2013. 1–9. 11 indexed citations

Almici, Camillo, Rosanna Verardi, Arabella Neva, et al.. (2007). Mobilised Peripheral Blood Could Be a Suitable Source of Mesenchymal Stem Cells?.. Blood. 110(11). 4103–4103. 1 indexed citations

Lanfranchi, Arnalda, Rosanna Verardi, Arabella Neva, et al.. (2000). Haploidentical peripheral blood and marrow stem cell transplantation in nine cases of primary immunodeficiency.. PubMed. 85(11 Suppl). 41–6. 14 indexed citations

10.

Wengler, Georg S., Arnalda Lanfranchi, T. Frusca, et al.. (1997). In-Utero Transplantation of Parental CD34 Haematopoietic Progenitor Cells in a Patient With X-Linked Severe Combined Immunodeficiency (SCIDXI). Obstetrical & Gynecological Survey. 52(7). 404–405. 26 indexed citations

11.

Wengler, Georg S., Arnalda Lanfranchi, T. Frusca, et al.. (1996). In-utero transplantation of parental CD34 haematopoietic progenitor cells in a patient with X-linked severe combined immunodeficiency (SCIDX1). The Lancet. 348(9040). 1484–1487. 187 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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