Crystal Pacut
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 3
- RNA Research and Splicing 2
-
- Amyotrophic Lateral Sclerosis Research 6
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Eva L. Feldman (20 shared papers)Claudia Figueroa‐Romero (6 shared papers)Junguk Hur (8 shared papers)Kai Guo (6 shared papers)Lucy M. Hinder (4 shared papers)Stacey A. Sakowski (5 shared papers)Bhumsoo Kim (4 shared papers)Sarah E. Elzinga (6 shared papers)
- Journals
- Stem Cells and Development (2 papers)Experimental Neurology (2 papers)Diabetes (2 papers)Frontiers in Immunology (2 papers)Stem Cells Translational Medicine (2 papers)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Crystal Pacut
21 papers receiving 568 citations
Peers
Comparison fields: 5 of 71
- Developmental Neuroscience 48
- Neurology 143
- Genetics 93
- Neurology 57
- Physiology 125
Countries citing papers authored by Crystal Pacut
This map shows the geographic impact of Crystal Pacut'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 Crystal Pacut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Crystal Pacut more than expected).
Fields of papers citing papers by Crystal Pacut
This network shows the impact of papers produced by Crystal Pacut. 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 Crystal Pacut. The network helps show where Crystal Pacut may publish in the future.
Co-authors
The 25 scholars most cited alongside Crystal Pacut, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 110 | |
| 2 | 2016 | 66 | |
| 3 | 2015 | 50 | |
| 4 | 2013 | 48 | |
| 5 | 2020 | 36 | |
| 6 | 2008 | 33 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2016 | 28 | |
| 10 | 2022 | 27 | |
| 11 | 2014 | 26 | |
| 12 | 2022 | 24 | |
| 13 | 2010 | 20 | |
| 14 | 2007 | 15 | |
| 15 | 2012 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About Crystal Pacut
Crystal Pacut is a scholar working on Molecular Biology, Neurology, Genetics, Cellular and Molecular Neuroscience and Physiology, having authored 22 papers that have together received 572 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (4 papers), Pluripotent Stem Cells Research (3 papers), Pain Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Developmental Neuroscience (48 citations), Neurology (143 citations), Genetics (93 citations), Neurology (57 citations) and Physiology (125 citations). Crystal Pacut has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Eva L. Feldman, Claudia Figueroa‐Romero, Junguk Hur, Kai Guo, Lucy M. Hinder, Stacey A. Sakowski, Bhumsoo Kim, Sarah E. Elzinga, J. Simon Lunn and Carey Backus. Their work appears in journals such as Stem Cells and Development, Experimental Neurology, Diabetes, Frontiers in Immunology and Stem Cells Translational Medicine.
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.