Abel Makubi

516 citations
24 papers · 235 · h-index 10

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 13
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Iron Metabolism and Disorders 6
    • Blood groups and transfusion 2

Abel Makubi

22 papers receiving 227 citations

Peers

Abel Makubi
Comparison fields: 5 of 62
  • Genetics 114
  • Hematology 69
  • Modeling and Simulation 13
  • Health 18
  • Emergency Medicine 18
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Abel Makubi relative to Ana Sabrina Mora Argentina Ana Sabrina Mora's profile →
Citations per field
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Ana Sabrina Mora · 1×
Citations per year

Countries citing papers authored by Abel Makubi

Since Specialization
Citations

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

Fields of papers citing papers by Abel Makubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202143
2 201836
3 201422
4 202020
5 202319
6 201812
7 201611
8 202010
9 201710
10 20239
11 20167
12 20227
13 20226
14 20186
15 20224
16 20124
17 20203
18 20202
19 20251
20 20241

About Abel Makubi

Abel Makubi is a scholar working on Genetics, Hematology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 24 papers that have together received 235 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (13 papers), Iron Metabolism and Disorders (6 papers), HIV-related health complications and treatments (2 papers), Blood groups and transfusion (2 papers), HIV/AIDS drug development and treatment (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Autopsy Techniques and Outcomes (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Genetics (114 citations), Hematology (69 citations), Modeling and Simulation (13 citations), Health (18 citations) and Emergency Medicine (18 citations). Abel Makubi has collaborated with scholars based in Tanzania, United States and United Kingdom. Frequent co-authors include Julie Makani, Bruno P. Mmbando, Esther Ngadaya, Nyanda Elias Ntinginya, Sayoki Mfinanga, Sharon E. Cox, Deogratius Soka, Furahini Tluway, Josephine Mgaya and Emmanuela E. Ambrose. Their work appears in journals such as Blood, EBioMedicine, Heart, Frontiers in Genetics and British Journal of Haematology.

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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