Mac Macheta
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Acute Myeloid Leukemia Research 3
- Autoimmune and Inflammatory Disorders Research 2
- Hemophilia Treatment and Research 1
- Genetics 4
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Khalid Tobal (2 shared papers)Paul Evans (1 shared paper)Gareth J. Morgan (1 shared paper)G.R. Morgenstern (2 shared papers)Guy Lucas (1 shared paper)J. A. Liu Yin (1 shared paper)Joseph Newton (1 shared paper)James Chang (2 shared papers)
- Journals
- Journal of Clinical Pathology (2 papers)Blood (2 papers)British Journal of Haematology (2 papers)Journal of Infection (1 paper)Haemophilia (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Mac Macheta
11 papers receiving 282 citations
Peers
Comparison fields: 5 of 38
- Hematology 139
- Genetics 48
- Physiology 104
- Pathology and Forensic Medicine 34
- Immunology 40
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 | 123 | |
| 2 | 2000 | 104 | |
| 3 | 2001 | 30 | |
| 4 | 1995 | 10 | |
| 5 | 2001 | 6 | |
| 6 | 1997 | 6 | |
| 7 | 1994 | 4 | |
| 8 | 2010 | 2 | |
| 9 | 2001 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2003 | 1 | |
| 12 | 2001 | 0 | |
| 13 | 2020 | 0 |
About Mac Macheta
Mac Macheta is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Physiology, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Parvovirus B19 Infection Studies (2 papers), Retinoids in leukemia and cellular processes (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Hemophilia Treatment and Research (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (139 citations), Genetics (48 citations), Physiology (104 citations), Pathology and Forensic Medicine (34 citations) and Immunology (40 citations). Mac Macheta has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Khalid Tobal, Paul Evans, Gareth J. Morgan, G.R. Morgenstern, Guy Lucas, J. A. Liu Yin, Joseph Newton, James Chang, Helen Moore and A. Néel. Their work appears in journals such as Journal of Clinical Pathology, Blood, British Journal of Haematology, Journal of Infection and Haemophilia.
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.