John Manion
Impact in
- Computer Science Applications top 0.5%
- Open Education and E-Learning
- E-Learning and Knowledge Management
- Online Learning and Analytics
- Information Systems top 5%
Papers in
-
- Pain Mechanisms and Treatments 4
- Co-authors
- G. Gregory Neely (8 shared papers)Thang M. Khuong (4 shared papers)Matthew A. Waller (2 shared papers)Qiao‐Ping Wang (2 shared papers)Man-Tat Lau (2 shared papers)Lisa J. Oyston (2 shared papers)Leslie Caron (2 shared papers)Elizabeth Hess Ford (1 shared paper)
- Journals
- Frontiers in Neuroscience (2 papers)Cells (1 paper)Mucosal Immunology (1 paper)Science Advances (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
John Manion
14 papers receiving 877 citations
John Manion's Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Science Applications 459
- Information Systems 201
- Developmental and Educational Psychology 94
- Artificial Intelligence 245
- Cellular and Molecular Neuroscience 102
Countries citing papers authored by John Manion
This map shows the geographic impact of John Manion'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 John Manion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Manion more than expected).
Fields of papers citing papers by John Manion
This network shows the impact of papers produced by John Manion. 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 John Manion. The network helps show where John Manion may publish in the future.
Co-authors
The 25 scholars most cited alongside John Manion, 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 | Draft Standard for Learning Object Metadata Hit paper breakdown → | 2002 | 624 |
| 2 | 2020 | 58 | |
| 3 | 2019 | 49 | |
| 4 | 2023 | 45 | |
| 5 | 2016 | 45 | |
| 6 | 2019 | 45 | |
| 7 | 2020 | 25 | |
| 8 | 2025 | 25 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2011 | 1 |
About John Manion
John Manion is a scholar working on Physiology, Sensory Systems, Pediatrics, Perinatology and Child Health, Neurology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 983 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Pediatric Pain Management Techniques (3 papers), Pain Management and Placebo Effect (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Pluripotent Stem Cells Research (1 paper) and Mechanical Failure Analysis and Simulation (1 paper). The work is most often cited by research in Computer Science Applications (459 citations), Information Systems (201 citations), Developmental and Educational Psychology (94 citations), Artificial Intelligence (245 citations) and Cellular and Molecular Neuroscience (102 citations). John Manion has collaborated with scholars based in Australia, United States and China. Frequent co-authors include G. Gregory Neely, Thang M. Khuong, Matthew A. Waller, Qiao‐Ping Wang, Man-Tat Lau, Lisa J. Oyston, Leslie Caron, Elizabeth Hess Ford, Jamie B. Littleboy and Yong Q. Lin. Their work appears in journals such as Frontiers in Neuroscience, Cells, Mucosal Immunology, Science Advances and Philosophical Transactions of the Royal Society B Biological Sciences.
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.