L. Earl
Impact in
- Health top 10%
- Health disparities and outcomes
Papers in
-
- DNA Repair Mechanisms 1
- DNA and Nucleic Acid Chemistry 1
- Surgery 1
- Co-authors
- E. P. Stoller (1 shared paper)R. John Mitchell (5 shared papers)Joanne Williams (4 shared papers)Teresa Bisucci (2 shared papers)N.G. White (2 shared papers)S.S. Papiha (2 shared papers)William R. Leonard (2 shared papers)Michael H. Crawford (2 shared papers)
- Journals
- The Gerontologist (1 paper)Human Heredity (1 paper)PubMed (4 papers)KU ScholarWorks (The University of Kansas) (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
L. Earl
7 papers receiving 336 citations
Peers
Comparison fields: 5 of 64
- Neuropsychology and Physiological Psychology 14
- Health 65
- Psychiatry and Mental health 64
- Demography 52
- General Health Professions 78
Countries citing papers authored by L. Earl
This map shows the geographic impact of L. Earl'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 L. Earl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Earl more than expected).
Fields of papers citing papers by L. Earl
This network shows the impact of papers produced by L. Earl. 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 L. Earl. The network helps show where L. Earl may publish in the future.
Co-authors
The 16 scholars most cited alongside L. Earl, 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 | 1983 | 153 | |
| 2 | Distribution of the 3' VNTR polymorphism in the human dopamine transporter gene in world populations. | 2000 | 109 |
| 3 | Polymorphisms of the gene coding for the cholesteryl ester transfer protein and plasma lipid levels in Italian and Greek migrants to Australia. | 1994 | 37 |
| 4 | DNA polymorphisms at the lipoprotein lipase gene and their association with quantitative variation in plasma high-density lipoproteins and triacylglycerides. | 1994 | 34 |
| 5 | 1994 | 22 | |
| 6 | Two Y-chromosome-specific restriction fragment length polymorphisms (DYS11 and DYZ8) in Italian and Greek migrants to Australia. | 1993 | 11 |
| 7 | The distribution of the 3' VNTR polymorphism in human dopamine transporter gene (DAT1) in world populations | 2000 | 1 |
About L. Earl
L. Earl is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Health and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 367 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (1 paper), DNA Repair Mechanisms (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Chromosomal and Genetic Variations (1 paper), Drug Transport and Resistance Mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper), Attention Deficit Hyperactivity Disorder (1 paper) and Geriatric Care and Nursing Homes (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (14 citations), Health (65 citations), Psychiatry and Mental health (64 citations), Demography (52 citations) and General Health Professions (78 citations). L. Earl has collaborated with scholars based in Australia and United States. Frequent co-authors include E. P. Stoller, R. John Mitchell, Joanne Williams, Teresa Bisucci, N.G. White, S.S. Papiha, William R. Leonard, Michael H. Crawford, Gregory Livshits and Moses S. Schanfield. Their work appears in journals such as The Gerontologist, Human Heredity, PubMed and KU ScholarWorks (The University of Kansas).
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.