Eric J. Earley
Impact in
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- Genetic diversity and population structure
- Hemoglobinopathies and Related Disorders
Papers in
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- Epigenetics and DNA Methylation 4
- Oncology 6
- CAR-T cell therapy research 5
- Co-authors
- Corbin D. Jones (3 shared papers)Stephen J. Tonsor (1 shared paper)Stephen W. Erickson (12 shared papers)Malcolm A. Smith (12 shared papers)Daniel R. Matute (2 shared papers)Grier P. Page (12 shared papers)Steven Kleinman (8 shared papers)David Peede (2 shared papers)
- Journals
- Blood (6 papers)Pediatric Blood & Cancer (4 papers)Genetics (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Eric J. Earley
27 papers receiving 276 citations
Peers
Comparison fields: 5 of 58
- Genetics 29
- Genetics 70
- Insect Science 26
- Biochemistry 12
- Ecology, Evolution, Behavior and Systematics 39
Countries citing papers authored by Eric J. Earley
This map shows the geographic impact of Eric J. Earley'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 J. Earley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Earley more than expected).
Fields of papers citing papers by Eric J. Earley
This network shows the impact of papers produced by Eric J. Earley. 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 J. Earley. The network helps show where Eric J. Earley may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Earley, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 48 | |
| 2 | 2019 | 31 | |
| 3 | 2013 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2011 | 20 | |
| 6 | 2024 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Eric J. Earley
Eric J. Earley is a scholar working on Molecular Biology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Hematology, having authored 29 papers that have together received 278 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Epigenetics and DNA Methylation (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Neuroblastoma Research and Treatments (3 papers), Metabolism and Genetic Disorders (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Genetics (29 citations), Genetics (70 citations), Insect Science (26 citations), Biochemistry (12 citations) and Ecology, Evolution, Behavior and Systematics (39 citations). Eric J. Earley has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Corbin D. Jones, Stephen J. Tonsor, Stephen W. Erickson, Malcolm A. Smith, Daniel R. Matute, Grier P. Page, Steven Kleinman, David Peede, Angelo D’Alessandro and Peter J. Houghton. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Genetics, Proceedings of the National Academy of Sciences and Cancer Research.
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.