M Bua

428 citations
7 papers · 324 · h-index 6

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 5
    • Hematopoietic Stem Cell Transplantation 2
    • Multiple Myeloma Research and Treatments 1
    • Chronic Lymphocytic Leukemia Research 2
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1

M Bua

7 papers receiving 313 citations

Peers

M Bua
Comparison fields: 5 of 25
  • Hematology 289
  • Genetics 182
  • Rheumatology 117
  • Immunology 41
  • Oncology 41
Replace Takashi Kumagai with:
Takashi Kumagai Japan
F.-X. Mahon France
Anna Lübking Sweden
Lauren T. Adrian United States
Stuart Phillis Australia
Daniella Kerbauy United States
Bronte A. Jamison Australia
Alexandra L. Yeoman Australia
María Soledad Undurraga Chile
Francesco Iuliano Italy
M Bua relative to Takashi Kumagai Japan Takashi Kumagai's profile →
Citations per field
00.5×1.5×
Takashi Kumagai · 1×
Citations per year

Countries citing papers authored by M Bua

Since Specialization
Citations

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

Fields of papers citing papers by M Bua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 200984
2 200583
3 200357
4 201144
5 200736
6 201018
7 20242

About M Bua

M Bua is a scholar working on Hematology, Genetics, Rheumatology, Molecular Biology and Oncology, having authored 7 papers that have together received 324 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Eosinophilic Disorders and Syndromes (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Autophagy in Disease and Therapy (1 paper), Immune Cell Function and Interaction (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Hematology (289 citations), Genetics (182 citations), Rheumatology (117 citations), Immunology (41 citations) and Oncology (41 citations). M Bua has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Jane F. Apperley, Richard Szydlo, David Marin, John M. Goldman, Eduardo Olavarría, Amin Rahemtulla, Francesco Dazzi, Jaspal Kaeda, J M Goldman and Hugues de Lavallade. Their work appears in journals such as Leukemia, International Journal of Molecular Sciences, Bone Marrow Transplantation and Haematologica.

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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