Mac Macheta
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Hematopoietic Stem Cell Transplantation
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- Histiocytic Disorders and Treatments
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 3
- Platelet Disorders and Treatments 2
- Hemophilia Treatment and Research 1
-
- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Khalid Tobal (2 shared papers)J. A. Liu Yin (2 shared papers)Gareth John Morgan (1 shared paper)Godfrey R. Morgenstern (2 shared papers)Paul Evans (1 shared paper)Guy S. Lucas (1 shared paper)Harsha Gunawardena (1 shared paper)Muzlifah A. Haniffa (1 shared paper)
- Journals
- Hematological Oncology (3 papers)British Journal of Haematology (3 papers)Blood (2 papers)Journal of Clinical Pathology (2 papers)Clinical Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mac Macheta
18 papers receiving 399 citations
Peers
Comparison fields: 5 of 31
- Hematology 165
- Physiology 128
- Genetics 21
- Public Health, Environmental and Occupational Health 29
- Cardiology and Cardiovascular Medicine 19
Countries citing papers authored by Mac Macheta
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 153 | |
| 2 | 2000 | 123 | |
| 3 | 2017 | 38 | |
| 4 | 2001 | 31 | |
| 5 | 2024 | 20 | |
| 6 | 1995 | 12 | |
| 7 | 2001 | 8 | |
| 8 | 1997 | 7 | |
| 9 | 1994 | 4 | |
| 10 | 2001 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2001 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2003 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2001 | 0 | |
| 20 | 2020 | 0 |
About Mac Macheta
Mac Macheta is a scholar working on Hematology, Pathology and Forensic Medicine, Parasitology, Genetics and Nephrology, having authored 20 papers that have together received 414 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (3 papers), Platelet Disorders and Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Hemophilia Treatment and Research (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Hematology (165 citations), Physiology (128 citations), Genetics (21 citations), Public Health, Environmental and Occupational Health (29 citations) and Cardiology and Cardiovascular Medicine (19 citations). Mac Macheta has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Khalid Tobal, J. A. Liu Yin, Gareth John Morgan, Godfrey R. Morgenstern, Paul Evans, Guy S. Lucas, Harsha Gunawardena, Muzlifah A. Haniffa, Venetia Bigley and Simon N. Bomken. Their work appears in journals such as Hematological Oncology, British Journal of Haematology, Blood, Journal of Clinical Pathology and Clinical Medicine.
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.