J. Glenn Morris
- Ecology top 1%
- Endocrinology top 0.2%
- Infectious Diseases top 2%
- Molecular Biology
- Food Science top 1%
- Co-authors
- Alexander SulakvelidzeZemphira AlavidzeDavid W. K. AchesonDuc J. VugiaJohn TildenS. Benson WernerJ. B. HollingsworthCarl Custer
- Topics
- Vibrio bacteria research studies (10 papers)Salmonella and Campylobacter epidemiology (6 papers)Escherichia coli research studies (5 papers)
- Partner nations
- United StatesFranceChile
In The Last Decade
J. Glenn Morris
29 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Ecology 1.2k
- Endocrinology 1.1k
- Infectious Diseases 726
- Molecular Biology 667
- Food Science 575
Countries citing papers authored by J. Glenn Morris
This map shows the geographic impact of J. Glenn Morris'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 J. Glenn Morris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Glenn Morris more than expected).
Fields of papers citing papers by J. Glenn Morris
This network shows the impact of papers produced by J. Glenn Morris. 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 J. Glenn Morris. The network helps show where J. Glenn Morris may publish in the future.
Co-authorship network of co-authors of J. Glenn Morris
This figure shows the co-authorship network connecting the top 25 collaborators of J. Glenn Morris. A scholar is included among the top collaborators of J. Glenn Morris 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 J. Glenn Morris. J. Glenn Morris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Moving from predicting hospital deaths by antibiotic-resistant bloodstream bacteremia toward actionable risk reduction using machine learning on electronic health records. | 2 |
| 3 | 20 | |
| 4 | 37 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 90 | |
| 8 | 106 | |
| 9 | 213 | |
| 10 | 142 | |
| 11 | 113 | |
| 12 | 57 | |
| 13 | 8 | |
| 14 | 320 | |
| 15 | 92 | |
| 16 | 45 | |
| 17 | 34 | |
| 18 | 116 | |
| 19 | 62 | |
| 20 | 71 |
About J. Glenn Morris
J. Glenn Morris is a scholar working on Endocrinology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Salmonella and Campylobacter epidemiology (6 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Endocrinology (1.1k citations), Microbiology (437 citations) and Molecular Medicine (331 citations). J. Glenn Morris has collaborated with scholars based in United States, France and Chile. Frequent co-authors include Alexander Sulakvelidze, Zemphira Alavidze, David W. K. Acheson, Duc J. Vugia, John Tilden, S. Benson Werner, J. B. Hollingsworth, Carl Custer, J A Johnson and Mamuka Kotetishvili. Their work appears in journals such as Annals of Internal Medicine, Clinical Infectious Diseases and American Journal of Public Health.
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.