Ali Tabarroki

1.0k citations
39 papers · 859 · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 23
    • Chronic Myeloid Leukemia Treatments 9
    • Multiple Myeloma Research and Treatments 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 20
    • Blood disorders and treatments 3

Ali Tabarroki

37 papers receiving 849 citations

Peers

Ali Tabarroki
Comparison fields: 5 of 54
  • Hematology 543
  • Genetics 284
  • Nephrology 40
  • Molecular Biology 392
  • Rheumatology 77
Replace Matthew T. Howard with:
Matthew T. Howard United States
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Yasuyoshi Morita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ali Tabarroki

Since Specialization
Citations

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

Fields of papers citing papers by Ali Tabarroki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ali Tabarroki, 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 Ali Tabarroki Line = papers co-authored together Ali Tabarroki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013252
2 2013120
3 2012110
4 201455
5 201454
6 200644
7 201441
8 201321
9 201419
10 201417
11 201617
12 201212
13 200811
14 201411
15 201310
16 20146
17 20146
18 20125
19 20135
20 20135

About Ali Tabarroki

Ali Tabarroki is a scholar working on Hematology, Genetics, Rheumatology, Immunology and Molecular Biology, having authored 39 papers that have together received 859 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (20 papers), Chronic Myeloid Leukemia Treatments (9 papers), Eosinophilic Disorders and Syndromes (6 papers), Multiple Myeloma Research and Treatments (4 papers), Blood disorders and treatments (3 papers), RNA modifications and cancer (3 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Hematology (543 citations), Genetics (284 citations), Nephrology (40 citations), Molecular Biology (392 citations) and Rheumatology (77 citations). Ali Tabarroki has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Ramon Velasquez Tiu, Valeria Visconte, Mikkael Aaron Sekeres, Yogen Saunthararajah, Edy Hasrouni, Anjali S. Advani, Hideki Makishima, Ania Jankowska, Heesun Joyce Rogers and Fabı́ola Traina. Their work appears in journals such as Blood, Leukemia, American Journal of Hematology, Journal of Hematology & Oncology and Leukemia Research.

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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