Ingrid Tarr
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Neurological diseases and metabolism
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- Neurogenetic and Muscular Disorders Research
Papers in
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- Amyotrophic Lateral Sclerosis Research 4
- Neurological diseases and metabolism 1
- Genetics 2
- Neurogenetic and Muscular Disorders Research 2
- Insect and Arachnid Ecology and Behavior 1
- Co-authors
- Ian P. Blair (4 shared papers)Kelly L. Williams (4 shared papers)Garth A. Nicholson (4 shared papers)Emily P. McCann (3 shared papers)Jennifer A. Fifita (3 shared papers)Dominic B. Rowe (3 shared papers)John O’Connor (1 shared paper)Katharine Y. Zhang (2 shared papers)
- Journals
- Clinical Genetics (1 paper)PLoS ONE (1 paper)Journal of the American Heart Association (1 paper)Neurodegenerative Diseases (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Ingrid Tarr
7 papers receiving 153 citations
Peers
Comparison fields: 5 of 32
- Neurology 111
- Genetics 58
- Neurology 22
- Molecular Biology 65
- Cellular and Molecular Neuroscience 17
Countries citing papers authored by Ingrid Tarr
This map shows the geographic impact of Ingrid Tarr'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 Ingrid Tarr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Tarr more than expected).
Fields of papers citing papers by Ingrid Tarr
This network shows the impact of papers produced by Ingrid Tarr. 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 Ingrid Tarr. The network helps show where Ingrid Tarr may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingrid Tarr, 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 | 2017 | 51 | |
| 2 | 2017 | 35 | |
| 3 | 2019 | 31 | |
| 4 | 2017 | 25 | |
| 5 | 2014 | 7 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2026 | 0 |
About Ingrid Tarr
Ingrid Tarr is a scholar working on Neurology, Genetics, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 8 papers that have together received 153 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (2 papers), Cardiovascular Issues in Pregnancy (2 papers), Epigenetics and DNA Methylation (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Neurological diseases and metabolism (1 paper), Cancer-related gene regulation (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Neurology (111 citations), Genetics (58 citations), Neurology (22 citations), Molecular Biology (65 citations) and Cellular and Molecular Neuroscience (17 citations). Ingrid Tarr has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Ian P. Blair, Kelly L. Williams, Garth A. Nicholson, Emily P. McCann, Jennifer A. Fifita, Dominic B. Rowe, John O’Connor, Katharine Y. Zhang, Alison Hogan and Denis C. Bauer. Their work appears in journals such as Clinical Genetics, PLoS ONE, Journal of the American Heart Association, Neurodegenerative Diseases and Human Molecular 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.