R Spanedda

615 total citations
34 papers, 471 citations indexed

About

R Spanedda is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, R Spanedda has authored 34 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 12 papers in Oncology and 7 papers in Genetics. Recurrent topics in R Spanedda's work include Multiple Myeloma Research and Treatments (12 papers), Acute Myeloid Leukemia Research (6 papers) and Hematological disorders and diagnostics (6 papers). R Spanedda is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Acute Myeloid Leukemia Research (6 papers) and Hematological disorders and diagnostics (6 papers). R Spanedda collaborates with scholars based in Italy and United States. R Spanedda's co-authors include Gian Matteo Rigolin, G Scapoli, Gianluigi Castoldi, Luciana Barbarano, Antonella Bardi, Silvia Brugnatelli, Alberto De Paoli, Alberto Riccardi, M. Stasi and Antonio Cuneo and has published in prestigious journals such as The Lancet, Cancer and British Journal of Cancer.

In The Last Decade

R Spanedda

34 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Spanedda Italy 13 290 173 154 97 75 34 471
R. Fanin Italy 8 384 1.3× 184 1.1× 109 0.7× 139 1.4× 93 1.2× 12 519
D. Macdonald United Kingdom 12 202 0.7× 103 0.6× 70 0.5× 137 1.4× 66 0.9× 14 475
A Ferrant Belgium 13 342 1.2× 175 1.0× 110 0.7× 189 1.9× 102 1.4× 27 624
Michihiko Masuda Japan 12 175 0.6× 117 0.7× 70 0.5× 111 1.1× 86 1.1× 27 375
Knud Bendix‐Hansen Denmark 13 389 1.3× 169 1.0× 89 0.6× 174 1.8× 56 0.7× 28 612
WY Au China 14 312 1.1× 102 0.6× 57 0.4× 109 1.1× 100 1.3× 47 549
AD Elias United States 10 338 1.2× 281 1.6× 97 0.6× 111 1.1× 39 0.5× 19 556
Susan R. Wiersma United States 13 260 0.9× 78 0.5× 137 0.9× 75 0.8× 54 0.7× 16 517
Anna Carter Israel 11 214 0.7× 98 0.6× 158 1.0× 105 1.1× 24 0.3× 24 410
TM Fliedner Germany 8 549 1.9× 196 1.1× 79 0.5× 202 2.1× 38 0.5× 13 648

Countries citing papers authored by R Spanedda

Since Specialization
Citations

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

Fields of papers citing papers by R Spanedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Spanedda

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

All Works

20 of 20 papers shown
1.
Rigolin, Gian Matteo, et al.. (2005). A case of disseminated Langerhans’ cell histiocytosis treated with thalidomide. European Journal Of Haematology. 74(2). 172–174. 10 indexed citations
2.
Cuneo, Antonio, P. Tomasi, Massimo Negrini, et al.. (2004). Lineage switch and multilineage involvement in two cases of pH chromosome-positive acute leukemia: evidence for a stem cell disease.. PubMed. 79(1). 76–82. 4 indexed citations
3.
Dabusti, Melissa, Francesco Lanza, Diana Campioni, et al.. (2003). CXCR-4 Expression on Bone Marrow CD34 + Cells Prior to Mobilization Can Predict Mobilization Adequacy in Patients with Hematologic Malignancies. Journal of Hematotherapy & Stem Cell Research. 12(4). 425–434. 14 indexed citations
4.
Lanza, Francesco, Diana Campioni, Sabrina Moretti, et al.. (2003). In vitro assessment of bone marrow endothelial colonies (CFU-En) in non-Hodgkin's lymphoma patients undergoing peripheral blood stem cell transplantation. Bone Marrow Transplantation. 32(12). 1165–1173. 4 indexed citations
5.
Riccardi, Alberto, Carmine Tinelli, Camillo Porta, et al.. (2002). Response to first-line chemotherapy and long-term survival in patients with multiple myeloma. European Journal of Cancer. 39(1). 31–37. 13 indexed citations
6.
Spanedda, R, et al.. (2000). [Non-hodgkin's lymphomas of extranodal localization. Strategies for imaging diagnosis].. PubMed. 100(4). 262–72. 1 indexed citations
7.
8.
Riccardi, Alberto, Carmine Tinelli, Diletta Valentini, et al.. (2000). Long-term survival of stage I multiple myeloma given chemotherapy just after diagnosis or at progression of the disease: a multicentre randomized study. British Journal of Cancer. 82(7). 1254–1260. 86 indexed citations
9.
Riccardi, Alberto, Silvia Brugnatelli, Carmine Tinelli, et al.. (1998). Relevance of age on survival of 341 patients with multiple myeloma treated with conventional chemotherapy: updated results of the MM87 prospective randomized protocol. British Journal of Cancer. 77(3). 485–491. 20 indexed citations
10.
Galeotti, Roberto, et al.. (1997). [Role of computerized tomography in the diagnosis of bone disease in multiple myeloma].. PubMed. 93(6). 669–75. 3 indexed citations
11.
Bigoni, Renato, Antonio Cuneo, M G Roberti, et al.. (1997). Chromosome aberrations in atypical chronic lymphocytic leukemia: a cytogenetic and interphase cytogenetic study. Leukemia. 11(11). 1933–1940. 37 indexed citations
12.
Rigolin, Gian Matteo, Franca Fagioli, R Spanedda, et al.. (1994). Study of prognosis in acute myeloid leukemias (AML) by cluster analysis.. PubMed. 79(3). 233–40. 9 indexed citations
13.
Riccardi, Alberto, G. Ucci, R Luoni, et al.. (1994). Treatment of multiple myeloma according to the extension of the disease: a prospective, randomised study comparing a less with a more aggressive cytostatic policy. British Journal of Cancer. 70(6). 1203–1210. 34 indexed citations
14.
Fagioli, Franca, Antonio Cuneo, Antonella Bardi, et al.. (1993). Chromosome aberrations in CD34-positive acute myeloid leukemia. Cancer Genetics and Cytogenetics. 71(2). 119–124. 17 indexed citations
15.
Prandini, Napoleone, et al.. (1993). Bone marrow imaging in plasma cell dyscrasias: review of 130 cases.. PubMed. 36(4). 303–8. 5 indexed citations
16.
Bagni, B, et al.. (1990). [Quantitative analysis of bone density in multiple myeloma].. PubMed. 80(4). 432–40. 3 indexed citations
17.
Tomasi, P., et al.. (1987). Cytomorphological aspects of iron-containing plasma cells in hematological disorders.. PubMed. 72(4). 371–3. 2 indexed citations
18.
Spanedda, R, et al.. (1983). ASBESTOS AND NON-HODGKIN'S LYMPHOMA. The Lancet. 321(8317). 189–190. 5 indexed citations
19.
Castoldi, Gianluigi, et al.. (1971). Association of Multiple Haematological Disorders (Acute Myeloblastic Leukaemia, Paraproteinaemia, and Thalassaemia) in a 46, XX/46, XXqi Female. Acta Haematologica. 46(5). 294–306. 1 indexed citations
20.
Dallapiccola, Bruno, et al.. (1970). [Analysis of chromosome abnormalities in pernicious anemia].. PubMed. 9(6). 769–82. 2 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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