Megan A. Hatlen
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Acute Myeloid Leukemia Research 5
-
- Cancer-related gene regulation 5
- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 4
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Stephen D. Nimer (10 shared papers)Lan Wang (4 shared papers)Lan Wang (1 shared paper)Xinyang Zhao (5 shared papers)Fan Liu (2 shared papers)Ross L. Levine (4 shared papers)Silvia Gra Menendez (2 shared papers)Michael W. Harr (2 shared papers)
- Journals
- Blood (5 papers)Cancer Cell (2 papers)Science (1 paper)Frontiers of Medicine (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- United StatesNorwaySouth Korea
In The Last Decade
Megan A. Hatlen
14 papers receiving 877 citations
Peers
Comparison fields: 5 of 60
- Hematology 417
- Genetics 157
- Molecular Biology 680
- Cancer Research 93
- Immunology 65
Countries citing papers authored by Megan A. Hatlen
This map shows the geographic impact of Megan A. Hatlen'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 Megan A. Hatlen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan A. Hatlen more than expected).
Fields of papers citing papers by Megan A. Hatlen
This network shows the impact of papers produced by Megan A. Hatlen. 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 Megan A. Hatlen. The network helps show where Megan A. Hatlen may publish in the future.
Co-authors
The 25 scholars most cited alongside Megan A. Hatlen, 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 | 2011 | 230 | |
| 2 | 2011 | 201 | |
| 3 | 2015 | 190 | |
| 4 | 2019 | 96 | |
| 5 | 2012 | 62 | |
| 6 | 2015 | 31 | |
| 7 | 2009 | 30 | |
| 8 | 2015 | 22 | |
| 9 | 2016 | 18 | |
| 10 | 2024 | 7 | |
| 11 | 2016 | 5 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2015 | 1 |
About Megan A. Hatlen
Megan A. Hatlen is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Hepatology, having authored 15 papers that have together received 897 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cancer-related gene regulation (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Protein Degradation and Inhibitors (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Epigenetics and DNA Methylation (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (417 citations), Genetics (157 citations), Molecular Biology (680 citations), Cancer Research (93 citations) and Immunology (65 citations). Megan A. Hatlen has collaborated with scholars based in United States, Norway and South Korea. Frequent co-authors include Stephen D. Nimer, Lan Wang, Lan Wang, Xinyang Zhao, Fan Liu, Ross L. Levine, Silvia Gra Menendez, Michael W. Harr, A DeBlasio and Fabiana Perna. Their work appears in journals such as Blood, Cancer Cell, Science, Frontiers of Medicine and Blood Cells Molecules and Diseases.
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.