Dylan A. McCreedy
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 9
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- Nerve injury and regeneration 6
- Pathology and Forensic Medicine top 10%
- Spinal Cord Injury Research 9
- Genetics top 10%
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques 4
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- Pluripotent Stem Cells Research 5
- Renal and related cancers 3
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
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- Pediatric Urology and Nephrology Studies 2
- Co-authors
- Shelly E. Sakiyama‐ElbertJessica C. ButtsAlexander M. TataraPhilip J. JohnsonTodd C. McDevittLinda J. Noble‐HaeussleinThomas S. WilemsChelsea R. Brown
- Cited by
- Developmental NeuroscienceCellular and Molecular NeurosciencePathology and Forensic Medicine
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)Biomaterials (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Dylan A. McCreedy
25 papers receiving 562 citations
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 142
- Cellular and Molecular Neuroscience 230
- Pathology and Forensic Medicine 150
- Genetics 81
- Biophysics 27
Countries citing papers authored by Dylan A. McCreedy
This map shows the geographic impact of Dylan A. McCreedy'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 Dylan A. McCreedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan A. McCreedy more than expected).
Fields of papers citing papers by Dylan A. McCreedy
This network shows the impact of papers produced by Dylan A. McCreedy. 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 Dylan A. McCreedy. The network helps show where Dylan A. McCreedy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dylan A. McCreedy, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 10 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 52 | |
| 14 | 2017 | 5 | |
| 15 | 2016 | 13 | |
| 16 | 2014 | 33 | |
| 17 | 2013 | 41 | |
| 18 | 2012 | 55 | |
| 19 | 2011 | 17 | |
| 20 | 2010 | 95 |
About Dylan A. McCreedy
Dylan A. McCreedy is a scholar working on Developmental Neuroscience, Structural Biology and Biophysics, having authored 28 papers that have together received 567 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (6 papers), Pluripotent Stem Cells Research (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Renal and related cancers (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Pediatric Urology and Nephrology Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (142 citations), Cellular and Molecular Neuroscience (230 citations) and Pathology and Forensic Medicine (150 citations). Dylan A. McCreedy has collaborated with scholars based in United States and Germany. Frequent co-authors include Shelly E. Sakiyama‐Elbert, Jessica C. Butts, Alexander M. Tatara, Philip J. Johnson, Todd C. McDevitt, Linda J. Noble‐Haeusslein, Thomas S. Wilems, Chelsea R. Brown, Hao Xu and Clifford A. Lowell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Biomaterials.
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.