A. Gabbas

1.2k total citations
10 papers, 506 citations indexed

About

A. Gabbas is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, A. Gabbas has authored 10 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Immunology and 3 papers in Genetics. Recurrent topics in A. Gabbas's work include Acute Myeloid Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers) and Viral-associated cancers and disorders (2 papers). A. Gabbas is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers) and Viral-associated cancers and disorders (2 papers). A. Gabbas collaborates with scholars based in Italy and United States. A. Gabbas's co-authors include Carlo Dufour, E. Di Bona, Benedetto Bruno, Andrea Bacigalupo, Paola Saracco, Anna Locasciulli, G Broccia, Tiziano Barbui, Pietro Leoni and William Arcese and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

A. Gabbas

10 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Gabbas Italy 8 451 166 124 95 73 10 506
M. Congiu Italy 5 341 0.8× 93 0.6× 127 1.0× 91 1.0× 45 0.6× 7 404
B M Camitta United States 6 293 0.6× 74 0.4× 88 0.7× 63 0.7× 51 0.7× 10 413
G Sogno Italy 10 314 0.7× 64 0.4× 112 0.9× 140 1.5× 33 0.5× 18 420
A. Ferster Belgium 9 232 0.5× 51 0.3× 76 0.6× 92 1.0× 63 0.9× 11 370
Rose Marie Hamladji Algeria 8 379 0.8× 102 0.6× 106 0.9× 87 0.9× 33 0.5× 10 417
Bensinger Wi United States 12 267 0.6× 59 0.4× 120 1.0× 60 0.6× 27 0.4× 18 348
Byoung Kook Kim South Korea 12 192 0.4× 61 0.4× 135 1.1× 84 0.9× 24 0.3× 43 410
ME Nesbit United States 8 429 1.0× 91 0.5× 127 1.0× 76 0.8× 26 0.4× 12 490
Bachra Choufi France 9 279 0.6× 120 0.7× 138 1.1× 118 1.2× 24 0.3× 24 467
Luz Tarín‐Arzaga Mexico 10 316 0.7× 80 0.5× 69 0.6× 56 0.6× 31 0.4× 34 405

Countries citing papers authored by A. Gabbas

Since Specialization
Citations

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

Fields of papers citing papers by A. Gabbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Gabbas

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

All Works

10 of 10 papers shown
1.
Piras, Giovanna, Maria Monne, Angelo Palmas, et al.. (2014). Methylation analysis of the phosphates and tensin homologue on chromosome 10 gene (PTEN) in multiple myeloma. Clinical Epigenetics. 6(1). 16–16. 15 indexed citations
2.
Fozza, Claudio, Antonio Galleu, Patrizia Virdis, et al.. (2012). Patients with Early-Stage Myelodysplastic Syndromes Show Increased Frequency of CD4+CD25<sup>high</sup>+CD127<sup>low</sup> Regulatory T Cells. Acta Haematologica. 128(3). 178–182. 17 indexed citations
3.
Gabbas, A., et al.. (2010). Long-lasting hematologic remission with imatinib therapy in idiopathic hypereosinophilic syndrome (HES) associated with lymphomatoid papulosis (LP): Case report.. Journal of Clinical Oncology. 28(15_suppl). e17004–e17004. 1 indexed citations
4.
Tucci, Alessandra, Gildo Matta, Simona Deplano, et al.. (2008). Myocardial iron overload assessment by T2* magnetic resonance imaging in adult transfusion dependent patients with acquired anemias. Haematologica. 93(9). 1385–1388. 106 indexed citations
5.
Piras, Giovanna, et al.. (2008). Methylation of the PTEN Promoter Leads to PTEN Inactivation in Multiple Myeloma. Blood. 112(11). 2717–2717. 1 indexed citations
6.
Bacigalupo, Andrea, Benedetto Bruno, Paola Saracco, et al.. (2000). Antilymphocyte globulin, cyclosporine, prednisolone, and granulocyte colony-stimulating factor for severe aplastic anemia: an update of the GITMO/EBMT study on 100 patients. Blood. 95(6). 1931–1934. 213 indexed citations
8.
Vegna, M. L., Sergio Amadori, Antonio Spadea, et al.. (1992). A randomized study of the efficacy of postconsolidation therapy in adult acute nonly mphocytic leukemia: a report of the Italian Cooperative Group GIMEMA. Annals of Hematology. 64(4). 166–172. 13 indexed citations
9.
Gabbas, A. & Chin‐Yang Li. (1986). Acute nonlymphocytic leukemia with eosinophilic differentiation. American Journal of Hematology. 21(1). 29–38. 8 indexed citations
10.
Contu, Laura, et al.. (1977). HLA antigens in Sardinian patients with diabetes mellitus.. PubMed. 3(4). 263–7. 9 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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