Angus MacGregor
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Congenital heart defects research
- Protein Degradation and Inhibitors
Papers in
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- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- Retinoids in leukemia and cellular processes 2
- Machine Learning in Bioinformatics 1
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- Acute Myeloid Leukemia Research 7
- Co-authors
- Leanne M. Wiedemann (7 shared papers)Graham H. Goodwin (3 shared papers)M. Rufus Crompton (2 shared papers)Emanuele Buratti (1 shared paper)Guidalberto Manfioletti (1 shared paper)Vincenzo Giancotti (1 shared paper)Anthony M. Ford (3 shared papers)Carlos Caldas (4 shared papers)
- Journals
- Blood (3 papers)British Journal of Haematology (2 papers)Nucleic Acids Research (2 papers)Gene (1 paper)Oncogene (1 paper)
- Partner nations
- United KingdomPortugalJapan
In The Last Decade
Angus MacGregor
10 papers receiving 429 citations
Peers
Comparison fields: 5 of 47
- Hematology 150
- Molecular Biology 315
- Public Health, Environmental and Occupational Health 101
- Cancer Research 52
- Genetics 31
Countries citing papers authored by Angus MacGregor
This map shows the geographic impact of Angus MacGregor'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 Angus MacGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angus MacGregor more than expected).
Fields of papers citing papers by Angus MacGregor
This network shows the impact of papers produced by Angus MacGregor. 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 Angus MacGregor. The network helps show where Angus MacGregor may publish in the future.
Co-authors
The 20 scholars most cited alongside Angus MacGregor, 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 | 1992 | 152 | |
| 2 | 2000 | 93 | |
| 3 | 1998 | 68 | |
| 4 | 1998 | 30 | |
| 5 | 1999 | 26 | |
| 6 | 2000 | 22 | |
| 7 | A myeloid-lineage-specific enhancer upstream of the mouse myeloperoxidase (MPO) gene. | 1994 | 17 |
| 8 | 1992 | 16 | |
| 9 | 1999 | 10 | |
| 10 | 1999 | 2 |
About Angus MacGregor
Angus MacGregor is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Genetics and Immunology, having authored 10 papers that have together received 436 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Retinoids in leukemia and cellular processes (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Hematology (150 citations), Molecular Biology (315 citations), Public Health, Environmental and Occupational Health (101 citations), Cancer Research (52 citations) and Genetics (31 citations). Angus MacGregor has collaborated with scholars based in United Kingdom, Portugal and Japan. Frequent co-authors include Leanne M. Wiedemann, Graham H. Goodwin, M. Rufus Crompton, Emanuele Buratti, Guidalberto Manfioletti, Vincenzo Giancotti, Anthony M. Ford, Carlos Caldas, Mel Greaves and Caroline Bennett. Their work appears in journals such as Blood, British Journal of Haematology, Nucleic Acids Research, Gene and Oncogene.
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.