Frank J. Manion
- Molecular Biology
- Artificial Intelligence top 10%
- Physiology
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Michael F. OchsThomas D. MoloshokDominique BroccoliMarcelline R. HarrisDavid A. HanauerWilliam SpeierRobert R. KleveczEric A. Ross
- Topics
- Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (6 papers)Machine Learning in Healthcare (4 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Frank J. Manion
30 papers receiving 579 citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 253
- Artificial Intelligence 174
- Physiology 80
- Public Health, Environmental and Occupational Health 67
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Frank J. Manion
This map shows the geographic impact of Frank J. 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 Frank J. Manion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank J. Manion more than expected).
Fields of papers citing papers by Frank J. Manion
This network shows the impact of papers produced by Frank J. 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 Frank J. Manion. The network helps show where Frank J. Manion may publish in the future.
Co-authorship network of co-authors of Frank J. Manion
This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Manion. A scholar is included among the top collaborators of Frank J. Manion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank J. Manion. Frank J. Manion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 42 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 4 | |
| 15 | 46 | |
| 16 | 27 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 28 |
About Frank J. Manion
Frank J. Manion is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 31 papers that have together received 592 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (6 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Health Informatics (45 citations), Health Information Management (49 citations) and Artificial Intelligence (174 citations). Frank J. Manion has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Michael F. Ochs, Thomas D. Moloshok, Dominique Broccoli, Marcelline R. Harris, David A. Hanauer, William Speier, Robert R. Klevecz, Eric A. Ross, Hua Min and J. Robert Beck. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Medical Physics.
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.