Kaitlyn E. Johnson
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- COVID-19 epidemiological studies
-
- Cancer Genomics and Diagnostics
Papers in
-
- COVID-19 epidemiological studies 6
- Mathematical Biology Tumor Growth 4
-
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 4
- Viral Infections and Outbreaks Research 2
- Co-authors
- Amy Brock (5 shared papers)Ernesto A. B. F. Lima (2 shared papers)Sui Huang (1 shared paper)Michael Strasser (1 shared paper)Thomas E. Yankeelov (3 shared papers)Aziz Al’Khafaji (2 shared papers)Angela M. Jarrett (2 shared papers)R. Durrett (2 shared papers)
- Journals
- Emerging infectious diseases (3 papers)PLoS Computational Biology (2 papers)PLoS ONE (2 papers)Epidemics (1 paper)iScience (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Kaitlyn E. Johnson
15 papers receiving 252 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 95
- Cancer Research 79
- Biophysics 20
- Oncology 51
- Molecular Biology 117
Countries citing papers authored by Kaitlyn E. Johnson
This map shows the geographic impact of Kaitlyn E. Johnson'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 Kaitlyn E. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaitlyn E. Johnson more than expected).
Fields of papers citing papers by Kaitlyn E. Johnson
This network shows the impact of papers produced by Kaitlyn E. Johnson. 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 Kaitlyn E. Johnson. The network helps show where Kaitlyn E. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaitlyn E. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2021 | 57 | |
| 3 | 2020 | 29 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 21 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2019 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | Federal Research and Development Contract Trends and the Supporting Industrial Base, 2000-2014 | 2016 | 1 |
| 16 | Superficial digital flexor tendon luxation repaired with abrasion calcaneoplasty and primary retinaculum repair in dogs. | 2022 | 1 |
| 17 | 2026 | 0 | |
| 18 | 2024 | 0 |
About Kaitlyn E. Johnson
Kaitlyn E. Johnson is a scholar working on Modeling and Simulation, Infectious Diseases, Molecular Biology, Cancer Research and Oncology, having authored 18 papers that have together received 255 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers), Cancer Genomics and Diagnostics (5 papers), Single-cell and spatial transcriptomics (4 papers), Mathematical Biology Tumor Growth (4 papers), SARS-CoV-2 detection and testing (4 papers), COVID-19 and healthcare impacts (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Modeling and Simulation (95 citations), Cancer Research (79 citations), Biophysics (20 citations), Oncology (51 citations) and Molecular Biology (117 citations). Kaitlyn E. Johnson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Amy Brock, Ernesto A. B. F. Lima, Sui Huang, Michael Strasser, Thomas E. Yankeelov, Aziz Al’Khafaji, Angela M. Jarrett, R. Durrett, Satyen H. Gohil and Thomas J. Kipps. Their work appears in journals such as Emerging infectious diseases, PLoS Computational Biology, PLoS ONE, Epidemics and iScience.
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.