Sam Nayler
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
Papers in
-
- Pluripotent Stem Cells Research 5
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 3
- DNA Repair Mechanisms 2
- Mitochondrial Function and Pathology 2
- Genetics 3
- Co-authors
- Ernst J. Wolvetang (6 shared papers)James Briggs (2 shared papers)Darya Vanichkina (2 shared papers)Ryan J. Taft (2 shared papers)Jianfei Hu (1 shared paper)Natalie J. Beveridge (1 shared paper)Seth Blackshaw (1 shared paper)Shinichi Nakagawa (1 shared paper)
- Journals
- Scientific Reports (1 paper)Stem Cells Translational Medicine (1 paper)The Cerebellum (1 paper)Stem Cells (1 paper)Blood (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Sam Nayler
12 papers receiving 703 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 267
- Developmental Neuroscience 46
- Molecular Biology 522
- Cellular and Molecular Neuroscience 64
- Neurology 27
Countries citing papers authored by Sam Nayler
This map shows the geographic impact of Sam Nayler'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 Sam Nayler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Nayler more than expected).
Fields of papers citing papers by Sam Nayler
This network shows the impact of papers produced by Sam Nayler. 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 Sam Nayler. The network helps show where Sam Nayler may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Nayler, 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 | 2013 | 317 | |
| 2 | 2012 | 116 | |
| 3 | 2011 | 69 | |
| 4 | 2012 | 56 | |
| 5 | 2021 | 43 | |
| 6 | 2015 | 34 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 19 | |
| 9 | 2023 | 12 | |
| 10 | 2018 | 6 | |
| 11 | 2017 | 3 | |
| 12 | 2022 | 2 |
About Sam Nayler
Sam Nayler is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 12 papers that have together received 708 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), DNA Repair Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Mitochondrial Function and Pathology (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (267 citations), Developmental Neuroscience (46 citations), Molecular Biology (522 citations), Cellular and Molecular Neuroscience (64 citations) and Neurology (27 citations). Sam Nayler has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ernst J. Wolvetang, James Briggs, Darya Vanichkina, Ryan J. Taft, Jianfei Hu, Natalie J. Beveridge, Seth Blackshaw, Shinichi Nakagawa, Guy Barry and Murray J. Cairns. Their work appears in journals such as Scientific Reports, Stem Cells Translational Medicine, The Cerebellum, Stem Cells and Blood.
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.