Earl Fields
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
-
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 6
- RNA modifications and cancer 4
- Kruppel-like factors research 2
- Genetics 8
- Hemoglobinopathies and Related Disorders 8
- Co-authors
- William Lewis (15 shared papers)Christopher A. Koczor (11 shared papers)Rodney Russ (11 shared papers)Tomika Ludaway (8 shared papers)Vitaly A. Kushnir (1 shared paper)Zhe Jiao (5 shared papers)Amy Boyd (3 shared papers)Eva K. Lee (2 shared papers)
- Journals
- Blood (6 papers)Laboratory Investigation (4 papers)Physiological Genomics (4 papers)British Journal of Haematology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesNigeria
In The Last Decade
Earl Fields
18 papers receiving 327 citations
Peers
Comparison fields: 5 of 71
- Aging 23
- Clinical Biochemistry 25
- Virology 16
- Emergency Medicine 28
- Toxicology 9
Countries citing papers authored by Earl Fields
This map shows the geographic impact of Earl Fields'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 Earl Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl Fields more than expected).
Fields of papers citing papers by Earl Fields
This network shows the impact of papers produced by Earl Fields. 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 Earl Fields. The network helps show where Earl Fields may publish in the future.
Co-authors
The 25 scholars most cited alongside Earl Fields, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 69 | |
| 2 | 2009 | 48 | |
| 3 | 2013 | 47 | |
| 4 | 2015 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 19 | |
| 7 | 2013 | 18 | |
| 8 | 2008 | 17 | |
| 9 | 2012 | 15 | |
| 10 | 2012 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2013 | 10 | |
| 13 | 2015 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2010 | 3 | |
| 16 | 2010 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Earl Fields
Earl Fields is a scholar working on Molecular Biology, Genetics, Emergency Medicine, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 336 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Mitochondrial Function and Pathology (6 papers), HIV-related health complications and treatments (4 papers), RNA modifications and cancer (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Pregnancy and preeclampsia studies (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Aging (23 citations), Clinical Biochemistry (25 citations), Virology (16 citations), Emergency Medicine (28 citations) and Toxicology (9 citations). Earl Fields has collaborated with scholars based in United States and Nigeria. Frequent co-authors include William Lewis, Christopher A. Koczor, Rodney Russ, Tomika Ludaway, Vitaly A. Kushnir, Zhe Jiao, Amy Boyd, Eva K. Lee, Allen M. Samarel and James J. Kohler. Their work appears in journals such as Blood, Laboratory Investigation, Physiological Genomics, British Journal of Haematology and American Journal Of Pathology.
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.