Matthew M. La Vail
- Ophthalmology top 2%
- Retinal Diseases and Treatments 1
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- Photoreceptor and optogenetics research 1
- Developmental Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
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- Retinal Development and Disorders 5
- Retinoids in leukemia and cellular processes 2
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- Antioxidant Activity and Oxidative Stress 1
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- Cholinesterase and Neurodegenerative Diseases 1
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- Animal Genetics and Reproduction 1
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Pasko RakićDavid RapaportGregg M. GorrinMichael T. MatthesSusan GentlemanT. Michael RedmondRichard L. SidmanTammy M. Rickabaugh
- Journals
- Nature (1 paper)The Journal of Comparative Neurology (1 paper)Experimental Eye Research (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Matthew M. La Vail
6 papers receiving 617 citations
Peers
Comparison fields: 5 of 63
- Ophthalmology 211
- Cellular and Molecular Neuroscience 276
- Developmental Neuroscience 43
- Endocrine and Autonomic Systems 60
- Molecular Biology 539
Countries citing papers authored by Matthew M. La Vail
This map shows the geographic impact of Matthew M. La Vail'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 Matthew M. La Vail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew M. La Vail more than expected).
Fields of papers citing papers by Matthew M. La Vail
This network shows the impact of papers produced by Matthew M. La Vail. 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 Matthew M. La Vail. The network helps show where Matthew M. La Vail may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Matthew M. La Vail, 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 | 2000 | 106 | |
| 2 | 1999 | 25 | |
| 3 | 1991 | 241 | |
| 4 | 1987 | 91 | |
| 5 | Survival of some photoreceptor cells in albino rats following long-term exposure to continuous light. | 1976 | 134 |
| 6 | 1971 | 35 |
About Matthew M. La Vail
Matthew M. La Vail is a scholar working on Biophysics, Biochemistry and Endocrine and Autonomic Systems, having authored 6 papers that have together received 632 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Retinoids in leukemia and cellular processes (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Photoreceptor and optogenetics research (1 paper), Retinal Diseases and Treatments (1 paper), Animal Genetics and Reproduction (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Ophthalmology (211 citations), Cellular and Molecular Neuroscience (276 citations) and Developmental Neuroscience (43 citations). Matthew M. La Vail has collaborated with scholars based in United States and Australia. Frequent co-authors include Pasko Rakić, David Rapaport, Gregg M. Gorrin, Michael T. Matthes, Susan Gentleman, T. Michael Redmond, Richard L. Sidman, Tammy M. Rickabaugh, Michael Danciger and Debora B. Farber. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Experimental Eye 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.