Ralph E. Leighty
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 1
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- Computational Drug Discovery Methods 5
- Co-authors
- Gary W. Arendash (6 shared papers)Jennifer R. Cracchiolo (4 shared papers)Maren Jensen (2 shared papers)Huntington Potter (4 shared papers)Marcos F Garcia (2 shared papers)Jada Lewis (1 shared paper)Mike Hutton (1 shared paper)Eileen McGowan (1 shared paper)
- Journals
- Neuroscience (2 papers)Behavioural Brain Research (1 paper)Brain Research (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United States
In The Last Decade
Ralph E. Leighty
10 papers receiving 355 citations
Peers
Comparison fields: 5 of 63
- Biological Psychiatry 38
- Neurology 77
- Physiology 228
- Cellular and Molecular Neuroscience 81
- Nutrition and Dietetics 56
Countries citing papers authored by Ralph E. Leighty
This map shows the geographic impact of Ralph E. Leighty'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 Ralph E. Leighty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph E. Leighty more than expected).
Fields of papers citing papers by Ralph E. Leighty
This network shows the impact of papers produced by Ralph E. Leighty. 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 Ralph E. Leighty. The network helps show where Ralph E. Leighty may publish in the future.
Co-authors
The 22 scholars most cited alongside Ralph E. Leighty, 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 | 2004 | 97 | |
| 2 | 2007 | 84 | |
| 3 | 2004 | 60 | |
| 4 | 2004 | 52 | |
| 5 | 2004 | 40 | |
| 6 | 2012 | 9 | |
| 7 | 2012 | 8 | |
| 8 | 2014 | 8 | |
| 9 | 2007 | 6 | |
| 10 | Statistical and Data Mining Methodologies for Behavioral Analysis in Transgenic Mouse Models of Alzheimer’s Disease: Parallels with Human AD Evaluation | 2009 | 1 |
About Ralph E. Leighty
Ralph E. Leighty is a scholar working on Molecular Biology, Computational Theory and Mathematics, Physiology, Neurology and Biological Psychiatry, having authored 10 papers that have together received 365 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Computational Drug Discovery Methods (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Gene expression and cancer classification (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacteriophages and microbial interactions (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Biological Psychiatry (38 citations), Neurology (77 citations), Physiology (228 citations), Cellular and Molecular Neuroscience (81 citations) and Nutrition and Dietetics (56 citations). Ralph E. Leighty has collaborated with scholars based in United States. Frequent co-authors include Gary W. Arendash, Jennifer R. Cracchiolo, Maren Jensen, Huntington Potter, Marcos F Garcia, Jada Lewis, Mike Hutton, Eileen McGowan, N. Salem and Nahed Hussein. Their work appears in journals such as Neuroscience, Behavioural Brain Research, Brain Research, Proteins Structure Function and Bioinformatics and Nucleic Acids 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.