James E. Madl
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Neuroscience and Neuropharmacology Research 14
- Co-authors
- Robert K Herman (2 shared papers)Alice A. Larson (6 shared papers)Alvin J. Beitz (6 shared papers)Juliet R. Gionfriddo (9 shared papers)Suzanne M. Royer (2 shared papers)Ronald B. Tjalkens (2 shared papers)Marie E. Legare (2 shared papers)Kelly A. Sullivan (1 shared paper)
- Journals
- Veterinary Ophthalmology (6 papers)Neuroscience (4 papers)American Journal of Veterinary Research (3 papers)Brain Research (3 papers)Genetics (2 papers)
- Partner nations
- United StatesGermanySaudi Arabia
In The Last Decade
James E. Madl
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Aging 213
- Cellular and Molecular Neuroscience 436
- Endocrine and Autonomic Systems 129
- Neurology 106
- Ophthalmology 92
Countries citing papers authored by James E. Madl
This map shows the geographic impact of James E. Madl'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 James E. Madl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Madl more than expected).
Fields of papers citing papers by James E. Madl
This network shows the impact of papers produced by James E. Madl. 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 James E. Madl. The network helps show where James E. Madl may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Madl, 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 | 1979 | 166 | |
| 2 | 2006 | 116 | |
| 3 | 1986 | 106 | |
| 4 | 1979 | 84 | |
| 5 | 1987 | 84 | |
| 6 | 1989 | 72 | |
| 7 | 1986 | 62 | |
| 8 | 1986 | 62 | |
| 9 | 2000 | 37 | |
| 10 | 2007 | 34 | |
| 11 | 1995 | 28 | |
| 12 | 2005 | 23 | |
| 13 | 2014 | 22 | |
| 14 | 2009 | 22 | |
| 15 | 1999 | 21 | |
| 16 | 2009 | 20 | |
| 17 | 2004 | 19 | |
| 18 | 2008 | 19 | |
| 19 | 1988 | 19 | |
| 20 | 1983 | 17 |
About James E. Madl
James E. Madl is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ophthalmology, Physiology and Genetics, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Glaucoma and retinal disorders (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Animal Genetics and Reproduction (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Evolution and Genetic Dynamics (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Aging (213 citations), Cellular and Molecular Neuroscience (436 citations), Endocrine and Autonomic Systems (129 citations), Neurology (106 citations) and Ophthalmology (92 citations). James E. Madl has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include Robert K Herman, Alice A. Larson, Alvin J. Beitz, Juliet R. Gionfriddo, Suzanne M. Royer, Ronald B. Tjalkens, Marie E. Legare, Kelly A. Sullivan, Xuhong Liu and Richard A. Altschuler. Their work appears in journals such as Veterinary Ophthalmology, Neuroscience, American Journal of Veterinary Research, Brain Research and Genetics.
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.