Rachael M. Porter
- Infectious Diseases top 10%
- Oncology
- Clinical Psychology top 10%
- Pulmonary and Respiratory Medicine
- Modeling and Simulation top 2%
- Co-authors
- Clinton J. McDanielBenjamin J. SilkMichelle M. HughesMatthew J. StuckeyMarie A. de PerioSherry BurrerSara E. LuckhauptDavid T. Kuhar
- Topics
- Vaccine Coverage and Hesitancy (9 papers)Influenza Virus Research Studies (6 papers)COVID-19 epidemiological studies (3 papers)
- Partner nations
- United StatesPanamaAustralia
In The Last Decade
Rachael M. Porter
15 papers receiving 725 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 231
- Oncology 230
- Clinical Psychology 218
- Pulmonary and Respiratory Medicine 171
- Modeling and Simulation 131
Countries citing papers authored by Rachael M. Porter
This map shows the geographic impact of Rachael M. Porter'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 Rachael M. Porter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachael M. Porter more than expected).
Fields of papers citing papers by Rachael M. Porter
This network shows the impact of papers produced by Rachael M. Porter. 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 Rachael M. Porter. The network helps show where Rachael M. Porter may publish in the future.
Co-authorship network of co-authors of Rachael M. Porter
This figure shows the co-authorship network connecting the top 25 collaborators of Rachael M. Porter. A scholar is included among the top collaborators of Rachael M. Porter 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 Rachael M. Porter. Rachael M. Porter 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 | 0 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | Characteristics of Health Care Personnel with COVID-19 — United States, February 12–April 9, 2020breakdown → | 555 |
| 11 | 29 | |
| 12 | 29 | |
| 13 | 17 | |
| 14 | 30 | |
| 15 | Prevalence, incidence, management, and predictors of venous ulcers in the long-term-care population using the MDS. | 44 |
| 16 | 4 |
About Rachael M. Porter
Rachael M. Porter is a scholar working on Health, Modeling and Simulation and Epidemiology, having authored 16 papers that have together received 749 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (9 papers), Influenza Virus Research Studies (6 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Health (118 citations) and Infectious Diseases (231 citations). Rachael M. Porter has collaborated with scholars based in United States, Panama and Australia. Frequent co-authors include Clinton J. McDaniel, Benjamin J. Silk, Michelle M. Hughes, Matthew J. Stuckey, Marie A. de Perio, Sherry Burrer, Sara E. Luckhaupt, David T. Kuhar, Robert A. Bednarczyk and Saad B. Omer. Their work appears in journals such as Science, PLoS ONE and Vaccine.
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.