Ashley Cliff
Impact in
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- Dermatology and Skin Diseases
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- Scientific Computing and Data Management
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
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- Distributed and Parallel Computing Systems 2
- Co-authors
- Daniel Jacobson (10 shared papers)Jonathon Romero (7 shared papers)David Kainer (5 shared papers)Angelica M. Walker (5 shared papers)Michael R. Garvin (4 shared papers)Piet Jones (3 shared papers)James B. Brown (3 shared papers)Manesh Shah (3 shared papers)
- Journals
- Computational and Structural Biotechnology Journal (2 papers)Science Translational Medicine (1 paper)Frontiers in Psychiatry (1 paper)Journal of Neurophysiology (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Ashley Cliff
11 papers receiving 222 citations
Peers
Comparison fields: 5 of 100
- Dermatology 24
- Information Systems and Management 14
- Infectious Diseases 37
- Immunology 28
- Developmental Neuroscience 5
Countries citing papers authored by Ashley Cliff
This map shows the geographic impact of Ashley Cliff'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 Ashley Cliff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley Cliff more than expected).
Fields of papers citing papers by Ashley Cliff
This network shows the impact of papers produced by Ashley Cliff. 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 Ashley Cliff. The network helps show where Ashley Cliff may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashley Cliff, 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 | 2022 | 47 | |
| 2 | 2020 | 43 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 1 |
About Ashley Cliff
Ashley Cliff is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems and Management, Plant Science and Infectious Diseases, having authored 11 papers that have together received 227 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (2 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (2 papers), Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), Research Data Management Practices (1 paper), Species Distribution and Climate Change (1 paper) and Plant-Microbe Interactions and Immunity (1 paper). The work is most often cited by research in Dermatology (24 citations), Information Systems and Management (14 citations), Infectious Diseases (37 citations), Immunology (28 citations) and Developmental Neuroscience (5 citations). Ashley Cliff has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Daniel Jacobson, Jonathon Romero, David Kainer, Angelica M. Walker, Michael R. Garvin, Piet Jones, James B. Brown, Manesh Shah, Érica T. Prates and Jared Streich. Their work appears in journals such as Computational and Structural Biotechnology Journal, Science Translational Medicine, Frontiers in Psychiatry, Journal of Neurophysiology and Genome biology.
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.