Mac Macheta

522 citations
13 papers · 282 indexed · h-index 6

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 3
    • Hemophilia Treatment and Research 2
    • Autoimmune and Inflammatory Disorders Research 2
    • Hemoglobinopathies and Related Disorders 2

Mac Macheta

10 papers receiving 275 citations

Peers

Mac Macheta
Comparison fields: 5 of 40
  • Hematology 145
  • Genetics 51
  • Physiology 100
  • Pathology and Forensic Medicine 43
  • Immunology 44
Replace Achille Aouba with:
Achille Aouba France
Saverio Ladogana Italy
Luděk Pour Czechia
Irene Bouchliou Greece
P Rossi-Ferrini Italy
Julie Crawford Australia
Ludovic Suner France
Lixian Chang China
Nobuya Hiraoka Japan
Y Enomoto Japan
Mac Macheta relative to Achille Aouba France Achille Aouba's profile →
Citations per field
00.5×1.5×2.4×
Achille Aouba · 1×
Citations per year

Countries citing papers authored by Mac Macheta

Since Specialization
Citations

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

Fields of papers citing papers by Mac Macheta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2017117
2 2000104
3 200130
4 199510
5 20016
6 19976
7 19944
8 20102
9 20012
10 20031
11 20010
12 20200
13 20250

About Mac Macheta

Mac Macheta is a scholar working on Hematology, Genetics, Immunology, Microbiology and Nephrology, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Hemophilia Treatment and Research (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Parvovirus B19 Infection Studies (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Hematology (145 citations), Genetics (51 citations), Physiology (100 citations), Pathology and Forensic Medicine (43 citations) and Immunology (44 citations). Mac Macheta has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Khalid Tobal, Paul Evans, Joseph Newton, J. A. Liu Yin, Guy Lucas, G.R. Morgenstern, Gareth J. Morgan, James Chang, Helen Moore and Benjamin H. Durham. Their work appears in journals such as Journal of Clinical Pathology, British Journal of Haematology, Blood, Haemophilia and Leukemia.

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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