Eric A. Hungate
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
-
- MicroRNA in disease regulation 2
- Genetics 4
- Genetic diversity and population structure 1
- Co-authors
- Kenan Onel (4 shared papers)Lindsay McOmber Morton (1 shared paper)Gregory T. Armstrong (1 shared paper)Rochelle E. Curtis (1 shared paper)Chung‐I Wu (5 shared papers)Suhua Shi (3 shared papers)Samuel L. Volchenboum (2 shared papers)Barbara E. Stranger (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Blood Advances (1 paper)Genetics (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Eric A. Hungate
14 papers receiving 706 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 251
- Modeling and Simulation 50
- Neurology 75
- Genetics 142
- Oncology 123
Countries citing papers authored by Eric A. Hungate
This map shows the geographic impact of Eric A. Hungate'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 Eric A. Hungate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric A. Hungate more than expected).
Fields of papers citing papers by Eric A. Hungate
This network shows the impact of papers produced by Eric A. Hungate. 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 Eric A. Hungate. The network helps show where Eric A. Hungate may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric A. Hungate, 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 | 2015 | 267 | |
| 2 | 2014 | 147 | |
| 3 | 2016 | 62 | |
| 4 | 2016 | 47 | |
| 5 | 2014 | 42 | |
| 6 | 2021 | 34 | |
| 7 | 2013 | 29 | |
| 8 | 2017 | 22 | |
| 9 | 2011 | 19 | |
| 10 | 2013 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2013 | 7 | |
| 14 | 2022 | 3 |
About Eric A. Hungate
Eric A. Hungate is a scholar working on Cancer Research, Genetics, Genetics, Hematology and Neurology, having authored 14 papers that have together received 718 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers), Neuroblastoma Research and Treatments (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), MicroRNA in disease regulation (2 papers), Multiple and Secondary Primary Cancers (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Cancer Research (251 citations), Modeling and Simulation (50 citations), Neurology (75 citations), Genetics (142 citations) and Oncology (123 citations). Eric A. Hungate has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kenan Onel, Lindsay McOmber Morton, Gregory T. Armstrong, Rochelle E. Curtis, Chung‐I Wu, Suhua Shi, Samuel L. Volchenboum, Barbara E. Stranger, Tian Tang and Susan Lerner Cohn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Blood Advances, Genetics and British Journal of Haematology.
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.