Amy Krans
Impact in
-
- Genetic Neurodegenerative Diseases
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Neurogenetic and Muscular Disorders Research
Papers in
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- Genetic Neurodegenerative Diseases 13
- Genetics 15
- Genetics and Neurodevelopmental Disorders 15
- Neurogenetic and Muscular Disorders Research 3
- Co-authors
- Peter K. Todd (21 shared papers)J. Paul Taylor (4 shared papers)Fang He (6 shared papers)Henry L. Paulson (5 shared papers)Seok Yoon Oh (4 shared papers)Michael G. Kearse (3 shared papers)Michelle A. Frazer (3 shared papers)Michael A. Sutton (4 shared papers)
- Journals
- Human Molecular Genetics (4 papers)Acta Neuropathologica Communications (4 papers)Neuron (2 papers)Nucleic Acids Research (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Amy Krans
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 393
- Genetics 591
- Genetics 145
- Neurology 186
- Molecular Biology 824
Countries citing papers authored by Amy Krans
This map shows the geographic impact of Amy Krans'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 Amy Krans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Krans more than expected).
Fields of papers citing papers by Amy Krans
This network shows the impact of papers produced by Amy Krans. 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 Amy Krans. The network helps show where Amy Krans may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Krans, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 382 | |
| 2 | 2016 | 127 | |
| 3 | 2010 | 82 | |
| 4 | 2015 | 77 | |
| 5 | 2016 | 53 | |
| 6 | 2014 | 50 | |
| 7 | 2019 | 48 | |
| 8 | 2020 | 48 | |
| 9 | 2012 | 45 | |
| 10 | 2016 | 37 | |
| 11 | 2019 | 36 | |
| 12 | 2021 | 31 | |
| 13 | 2022 | 20 | |
| 14 | 2020 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2019 | 7 | |
| 20 | 2013 | 2 |
About Amy Krans
Amy Krans is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Neurology and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Genetic Neurodegenerative Diseases (13 papers), RNA modifications and cancer (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Mitochondrial Function and Pathology (4 papers), RNA and protein synthesis mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (393 citations), Genetics (591 citations), Genetics (145 citations), Neurology (186 citations) and Molecular Biology (824 citations). Amy Krans has collaborated with scholars based in United States, France and China. Frequent co-authors include Peter K. Todd, J. Paul Taylor, Fang He, Henry L. Paulson, Seok Yoon Oh, Michael G. Kearse, Michelle A. Frazer, Michael A. Sutton, Abigail J. Renoux and Katelyn M. Green. Their work appears in journals such as Human Molecular Genetics, Acta Neuropathologica Communications, Neuron, Nucleic Acids Research and Molecular Cell.
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.