Julia E. Maxson
- Hematology top 1%
- Acute Myeloid Leukemia Research 30
- Chronic Myeloid Leukemia Treatments 11
- Genetics top 1%
- Blood disorders and treatments 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Chronic Lymphocytic Leukemia Research 7
- Rheumatology top 5%
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Genetics top 10%
- Blood disorders and treatments 13
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Chronic Lymphocytic Leukemia Research 7
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- Histone Deacetylase Inhibitors Research 7
- Epigenetics and DNA Methylation 6
- Co-authors
- Jeffrey TynerJason GotlibBrian DrukerMarc LoriauxTracy I. GeorgeAn‐Sheng ZhangCaroline EnnsAngela G. Fleischman
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Julia E. Maxson
46 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Hematology 934
- Genetics 753
- Rheumatology 214
- Immunology 166
- Genetics 212
Countries citing papers authored by Julia E. Maxson
This map shows the geographic impact of Julia E. Maxson'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 Julia E. Maxson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia E. Maxson more than expected).
Fields of papers citing papers by Julia E. Maxson
This network shows the impact of papers produced by Julia E. Maxson. 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 Julia E. Maxson. The network helps show where Julia E. Maxson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia E. Maxson, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 1 | |
| 8 | 2018 | 16 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 26 | |
| 13 | 2015 | 17 | |
| 14 | 2015 | 37 | |
| 15 | 2014 | 49 | |
| 16 | 2014 | 3 | |
| 17 | 2013 | 158 | |
| 18 | OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia and Atypical CMLbreakdown → | 2013 | 356 |
| 19 | 2010 | 24 | |
| 20 | 2010 | 50 |
About Julia E. Maxson
Julia E. Maxson is a scholar working on Hematology, Genetics, Genetics, Immunology and Behavioral Neuroscience, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Blood disorders and treatments (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Epigenetics and DNA Methylation (6 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Hematology (934 citations), Genetics (753 citations), Rheumatology (214 citations), Immunology (166 citations) and Genetics (212 citations). Julia E. Maxson has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jeffrey Tyner, Jason Gotlib, Brian Druker, Marc Loriaux, Tracy I. George, An‐Sheng Zhang, Caroline Enns, Angela G. Fleischman, Anupriya Agarwal and Christopher A. Eide. Their work appears in journals such as Blood, Journal of Biological Chemistry, Leukemia, Cancer Research and Eukaryotic Cell.
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.