Jennifer A. Lyon
- Molecular Biology
- Surgery
- Public Health, Environmental and Occupational Health
- General Health Professions top 10%
- Epidemiology
- Co-authors
- Michael A. WirthMatteo FraschiniMichele R. TennantTyler W. BarrettBryan A. CottonVirginia S. HinshawMary EdwardsHelen Morgan
- Topics
- AI in cancer detection (5 papers)Health Sciences Research and Education (5 papers)Medical Image Segmentation Techniques (4 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Jennifer A. Lyon
45 papers receiving 803 citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 189
- Surgery 130
- Public Health, Environmental and Occupational Health 123
- General Health Professions 110
- Epidemiology 87
Countries citing papers authored by Jennifer A. Lyon
This map shows the geographic impact of Jennifer A. Lyon'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 Jennifer A. Lyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Lyon more than expected).
Fields of papers citing papers by Jennifer A. Lyon
This network shows the impact of papers produced by Jennifer A. Lyon. 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 Jennifer A. Lyon. The network helps show where Jennifer A. Lyon may publish in the future.
Co-authorship network of co-authors of Jennifer A. Lyon
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Lyon. A scholar is included among the top collaborators of Jennifer A. Lyon 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 Jennifer A. Lyon. Jennifer A. Lyon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 23 | |
| 4 | 12 | |
| 5 | 32 | |
| 6 | 5 | |
| 7 | 52 | |
| 8 | 29 | |
| 9 | 76 | |
| 10 | 50 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | Carving a niche: establishing bioinformatics collaborations | 21 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | A model for training the new bioinformationist. | 35 |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 39 | |
| 20 | 61 |
About Jennifer A. Lyon
Jennifer A. Lyon is a scholar working on Issues, ethics and legal aspects, Library and Information Sciences and Emergency Medicine, having authored 46 papers that have together received 866 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Health Sciences Research and Education (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Medical Terminology (3 citations), Library and Information Sciences (14 citations) and Sensory Systems (42 citations). Jennifer A. Lyon has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Michael A. Wirth, Matteo Fraschini, Michele R. Tennant, Tyler W. Barrett, Bryan A. Cotton, Virginia S. Hinshaw, Mary Edwards, Helen Morgan, Maya M. Hammoud and Rolando García-Milian. Their work appears in journals such as The Lancet, Brain Research and Cochrane Database of Systematic Reviews.
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.