Gideon Meyerowitz‐Katz
- Infectious Diseases top 5%
- Modeling and Simulation top 0.5%
- General Health Professions top 5%
- Oncology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Lea MeroneAndrew LevinNana Owusu‐BoaiteySeamus P. WalshWilliam P. HanageGlen MaberlyThomas Astell‐BurtSumathy Ravi
- Topics
- COVID-19 epidemiological studies (9 papers)COVID-19 and healthcare impacts (7 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Gideon Meyerowitz‐Katz
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 539
- Modeling and Simulation 496
- General Health Professions 360
- Oncology 231
- Public Health, Environmental and Occupational Health 213
Countries citing papers authored by Gideon Meyerowitz‐Katz
This map shows the geographic impact of Gideon Meyerowitz‐Katz'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 Gideon Meyerowitz‐Katz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gideon Meyerowitz‐Katz more than expected).
Fields of papers citing papers by Gideon Meyerowitz‐Katz
This network shows the impact of papers produced by Gideon Meyerowitz‐Katz. 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 Gideon Meyerowitz‐Katz. The network helps show where Gideon Meyerowitz‐Katz may publish in the future.
Co-authorship network of co-authors of Gideon Meyerowitz‐Katz
This figure shows the co-authorship network connecting the top 25 collaborators of Gideon Meyerowitz‐Katz. A scholar is included among the top collaborators of Gideon Meyerowitz‐Katz 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 Gideon Meyerowitz‐Katz. Gideon Meyerowitz‐Katz 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 115 | |
| 10 | 13 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 157 | |
| 15 | Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysisbreakdown → | 290 |
| 16 | 262 | |
| 17 | Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implicationsbreakdown → | 497 |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 15 |
About Gideon Meyerowitz‐Katz
Gideon Meyerowitz‐Katz is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), COVID-19 and healthcare impacts (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Modeling and Simulation (496 citations), Applied Psychology (163 citations) and Infectious Diseases (539 citations). Gideon Meyerowitz‐Katz has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Lea Merone, Andrew Levin, Nana Owusu‐Boaitey, Seamus P. Walsh, William P. Hanage, Glen Maberly, Thomas Astell‐Burt, Sumathy Ravi, Xiaoqi Feng and Leonard Arnolda. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Hypertension.
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.