A. Gabbas

1.2k citations
10 papers · 505 · h-index 8

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Mesenchymal stem cell research

Papers in

    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 2

A. Gabbas

10 papers receiving 478 citations

Peers

A. Gabbas
Comparison fields: 5 of 40
  • Hematology 423
  • Genetics 147
  • Transplantation 13
  • Emergency Medicine 36
  • Immunology 84
Replace M. Congiu with:
M. Congiu Italy
Phil Darbyshire United Kingdom
B M Camitta United States
Gabriele Prange‐Krex Germany
Priscila Scheinberg United States
H-S Chi South Korea
G Sogno Italy
JE Wagner United States
Bensinger Wi United States
Laurent Pascal France
A. Gabbas relative to M. Congiu Italy M. Congiu's profile →
Citations per field
00.5×1.5×2.5×
M. Congiu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside A. Gabbas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Gabbas Line = papers co-authored together A. Gabbas links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2000213
2 1999123
3 2008105
4 201217
5 201415
6 199213
7
HLA antigens in Sardinian patients with diabetes mellitus.
19779
8 19868
9 20081
10 20101

About A. Gabbas

A. Gabbas is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Oncology, having authored 10 papers that have together received 505 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Immune Cell Function and Interaction (2 papers) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Hematology (423 citations), Genetics (147 citations), Transplantation (13 citations), Emergency Medicine (36 citations) and Immunology (84 citations). A. Gabbas has collaborated with scholars based in Italy and United States. Frequent co-authors include Andrea Bacigalupo, Benedetto Bruno, Anna Locasciulli, E. Di Bona, Paola Saracco, Carlo Dufour, G Broccia, M Carotenuto, William Arcese and Pietro Leoni. Their work appears in journals such as Blood, Haematologica, Clinical Epigenetics, Journal of Clinical Oncology and American Journal of Hematology.

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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