Paola Tonucci

653 total citations
8 papers, 539 citations indexed

About

Paola Tonucci is a scholar working on Genetics, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Paola Tonucci has authored 8 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Hematology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Paola Tonucci's work include Hematopoietic Stem Cell Transplantation (5 papers), Hemoglobinopathies and Related Disorders (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Paola Tonucci is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Hemoglobinopathies and Related Disorders (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Paola Tonucci collaborates with scholars based in Italy and United States. Paola Tonucci's co-authors include S Rapa, S Nesci, Marco Andreani, Giuseppe Lucarelli, M Manna, F Agostinelli, Emanuele Angelucci, Guido Lucarelli, Maria Benedetta Donati and Stanley L. Schrier and has published in prestigious journals such as Blood, Annals of the New York Academy of Sciences and Bone Marrow Transplantation.

In The Last Decade

Paola Tonucci

8 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paola Tonucci Italy 7 382 330 140 122 113 8 539
Mary Link United States 4 309 0.8× 232 0.7× 178 1.3× 31 0.3× 101 0.9× 8 445
LD Petz United States 8 112 0.3× 403 1.2× 52 0.4× 116 1.0× 43 0.4× 11 480
J. Kurtzberg United States 3 273 0.7× 195 0.6× 153 1.1× 16 0.1× 64 0.6× 9 368
Erica B. Esrick United States 11 351 0.9× 204 0.6× 142 1.0× 60 0.5× 290 2.6× 24 560
D.C. Setubal Brazil 9 95 0.2× 302 0.9× 33 0.2× 26 0.2× 100 0.9× 21 390
Fred Goldman United States 10 60 0.2× 138 0.4× 22 0.2× 90 0.7× 79 0.7× 15 372
Alexander Platz Germany 7 69 0.2× 156 0.5× 37 0.3× 33 0.3× 121 1.1× 9 357
PG Waber United States 9 260 0.7× 165 0.5× 56 0.4× 38 0.3× 133 1.2× 13 373
B P Alter United States 7 135 0.4× 222 0.7× 53 0.4× 56 0.5× 235 2.1× 10 400
Nahoko Nishimoto Japan 10 76 0.2× 296 0.9× 16 0.1× 12 0.1× 216 1.9× 13 476

Countries citing papers authored by Paola Tonucci

Since Specialization
Citations

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

Fields of papers citing papers by Paola Tonucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Tonucci

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

All Works

8 of 8 papers shown
1.
Andreani, Marco, S Nesci, Giuseppe Lucarelli, et al.. (2000). Long-term survival of ex-thalassemic patients with persistent mixed chimerism after bone marrow transplantation. Bone Marrow Transplantation. 25(4). 401–404. 149 indexed citations
2.
Centis, Filippo, Laura Tabellini, Guido Lucarelli, et al.. (2000). The importance of erythroid expansion in determining the extent of apoptosis in erythroid precursors in patients with β-thalassemia major. Blood. 96(10). 3624–3629. 110 indexed citations
3.
Centis, Filippo, Laura Tabellini, Guido Lucarelli, et al.. (2000). The importance of erythroid expansion in determining the extent of apoptosis in erythroid precursors in patients with β-thalassemia major. Blood. 96(10). 3624–3629. 101 indexed citations
4.
Battaglia, Manuela, Marco Andreani, S Nesci, et al.. (1999). Coexistence of Two Functioning T-Cell Repertoires in Healthy Ex-Thalassemics Bearing a Persistent Mixed Chimerism Years After Bone Marrow Transplantation. Blood. 94(10). 3432–3438. 20 indexed citations
5.
Nesci, S, M Manna, Giuseppe Lucarelli, et al.. (1998). Mixed Chimerism after Bone Marrow Transplantation in Thalassemia. Annals of the New York Academy of Sciences. 850(1). 495–497. 8 indexed citations
6.
Andreani, Marco, M Manna, Giuseppe Lucarelli, et al.. (1996). Persistence of mixed chimerism in patients transplanted for the treatment of thalassemia. Blood. 87(8). 3494–3499. 136 indexed citations
7.
Centis, Filippo, et al.. (1995). Soluble transferrin receptor following bone marrow transplantation from donors heterozygous for beta thalassemia.. PubMed. 79(5). 448–51. 2 indexed citations
8.
Manna, M, S Nesci, Marco Andreani, Paola Tonucci, & Giuseppe Lucarelli. (1993). Influence of the conditioning regimens on the incidence of mixed chimerism in thalassemic transplanted patients.. PubMed. 12 Suppl 1. 70–3. 13 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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