Kyle J. MacBeth
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 29
- Acute Myeloid Leukemia Research 28
- Chronic Myeloid Leukemia Treatments 5
-
- Protein Degradation and Inhibitors 7
- Histone Deacetylase Inhibitors Research 7
- Co-authors
- Hagop M. Kantarjian (6 shared papers)Carla Heise (4 shared papers)Aaron Nguyen (3 shared papers)Tao Shi (5 shared papers)Guillermo Garcia‐Manero (8 shared papers)Steven D. Gore (9 shared papers)Christopher R. Cogle (8 shared papers)Eric Laille (8 shared papers)
- Journals
- Blood (14 papers)Leukemia (3 papers)Journal of Clinical Oncology (2 papers)Journal of Experimental Zoology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Kyle J. MacBeth
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 84
- Hematology 1.0k
- Genetics 257
- Molecular Biology 853
- Oncology 223
- Endocrinology 44
Countries citing papers authored by Kyle J. MacBeth
This map shows the geographic impact of Kyle J. MacBeth'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 Kyle J. MacBeth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle J. MacBeth more than expected).
Fields of papers citing papers by Kyle J. MacBeth
This network shows the impact of papers produced by Kyle J. MacBeth. 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 Kyle J. MacBeth. The network helps show where Kyle J. MacBeth may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle J. MacBeth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 290 | |
| 2 | 2011 | 197 | |
| 3 | 2019 | 168 | |
| 4 | 2014 | 98 | |
| 5 | 2015 | 88 | |
| 6 | 2018 | 83 | |
| 7 | 2020 | 82 | |
| 8 | 2016 | 64 | |
| 9 | 2007 | 58 | |
| 10 | 2019 | 49 | |
| 11 | 2015 | 48 | |
| 12 | 1993 | 46 | |
| 13 | 2010 | 44 | |
| 14 | 2018 | 42 | |
| 15 | 2019 | 35 | |
| 16 | 2013 | 32 | |
| 17 | 2018 | 26 | |
| 18 | 2015 | 24 | |
| 19 | 2008 | 24 | |
| 20 | 2018 | 23 |
About Kyle J. MacBeth
Kyle J. MacBeth is a scholar working on Hematology, Molecular Biology, Genetics, Infectious Diseases and Epidemiology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), Protein Degradation and Inhibitors (7 papers), Histone Deacetylase Inhibitors Research (7 papers), HIV/AIDS drug development and treatment (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Research on Leishmaniasis Studies (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (257 citations), Molecular Biology (853 citations), Oncology (223 citations) and Endocrinology (44 citations). Kyle J. MacBeth has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Hagop M. Kantarjian, Carla Heise, Aaron Nguyen, Tao Shi, Guillermo Garcia‐Manero, Steven D. Gore, Christopher R. Cogle, Eric Laille, Paul W. Hollenbach and Barry Skikne. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Oncology, Journal of Experimental Zoology and PLoS ONE.
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.