Kaitlyn E. Johnson

540 total citations
18 papers, 255 citations indexed

About

Kaitlyn E. Johnson is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kaitlyn E. Johnson has authored 18 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 7 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Kaitlyn E. Johnson's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Cancer Genomics and Diagnostics (5 papers). Kaitlyn E. Johnson is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Cancer Genomics and Diagnostics (5 papers). Kaitlyn E. Johnson collaborates with scholars based in United States, United Kingdom and Japan. Kaitlyn E. Johnson's co-authors include Amy Brock, Ernesto A. B. F. Lima, Michael Strasser, Sui Huang, Thomas E. Yankeelov, Aziz Al’Khafaji, Angela M. Jarrett, R. Durrett, Anthony Letai and Satyen H. Gohil and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Biology.

In The Last Decade

Kaitlyn E. Johnson

15 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kaitlyn E. Johnson United States	8	117	95	79	51	27	18	255
Romica Kerketta United States	6	120 1.0×	127 1.3×	51 0.6×	124 2.4×	5 0.2×	9	356
Siôn L. Williams United States	11	270 2.3×	34 0.4×	58 0.7×	62 1.2×	58 2.1×	26	435
Zi-Ming Zhao United States	7	106 0.9×	17 0.2×	114 1.4×	74 1.5×	13 0.5×	12	238
Shiva Moein Iran	8	67 0.6×	111 1.2×	22 0.3×	23 0.5×	29 1.1×	15	237
Ethan P. Heinzen United States	11	196 1.7×	10 0.1×	132 1.7×	116 2.3×	13 0.5×	21	440
Davide Maspero Italy	11	222 1.9×	25 0.3×	71 0.9×	22 0.4×	78 2.9×	22	315
Garrett Jenkinson United States	10	180 1.5×	16 0.2×	43 0.5×	11 0.2×	21 0.8×	27	277
Laurent Fernandez France	8	210 1.8×	10 0.1×	32 0.4×	34 0.7×	8 0.3×	9	323
Lucas M. Stolerman United States	8	187 1.6×	85 0.9×	12 0.2×	12 0.2×	35 1.3×	11	382
Nouar Qutob Palestinian Territory	9	184 1.6×	33 0.3×	40 0.5×	111 2.2×	29 1.1×	16	363

Countries citing papers authored by Kaitlyn E. Johnson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kaitlyn E. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlyn E. Johnson. A scholar is included among the top collaborators of Kaitlyn E. Johnson 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 Kaitlyn E. Johnson. Kaitlyn E. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Milando, Chad, et al.. (2026). A vision for estimation of the instantaneous reproductive number. Epidemics. 54. 100885–100885.

Johnson, Kaitlyn E., et al.. (2024). Comparative effectiveness of dexamethasone in treatment of hospitalized COVID-19 patients in the United States during the first year of the pandemic: Findings from the National COVID Cohort Collaborative (N3C) data repository. PLoS ONE. 19(3). e0294892–e0294892.

Pasco, Remy, Kaitlyn E. Johnson, Spencer J. Fox, et al.. (2023). COVID-19 Test Allocation Strategy to Mitigate SARS-CoV-2 Infections across School Districts. Emerging infectious diseases. 29(3). 501–510. 1 indexed citations

Fox, Spencer J., Remy Pasco, Graham Gibson, et al.. (2023). Disproportionate impacts of COVID-19 in a large US city. PLoS Computational Biology. 19(6). e1011149–e1011149. 3 indexed citations

Johnson, Kaitlyn E., Remy Pasco, Spencer Woody, et al.. (2023). Optimizing COVID-19 testing strategies on college campuses: Evaluation of the health and economic costs. PLoS Computational Biology. 19(12). e1011715–e1011715. 1 indexed citations

Bhavnani, Darlene, Kaitlyn E. Johnson, Sylvie Beaudenon‐Huibregtse, et al.. (2022). SARS-CoV-2 viral load is associated with risk of transmission to household and community contacts. BMC Infectious Diseases. 22(1). 672–672. 16 indexed citations

Johnson, Kaitlyn E., et al.. (2022). Superficial digital flexor tendon luxation repaired with abrasion calcaneoplasty and primary retinaculum repair in dogs.. PubMed. 63(11). 1141–1146. 1 indexed citations

Johnson, Kaitlyn E., et al.. (2021). In the long shadow of our best intentions: Model-based assessment of the consequences of school reopening during the COVID-19 pandemic. PLoS ONE. 16(3). e0248509–e0248509. 5 indexed citations

Egeren, Debra Van, et al.. (2021). Individually optimal choices can be collectively disastrous in COVID-19 disease control. BMC Public Health. 21(1). 832–832. 10 indexed citations

10.

Gutierrez, Catherine, Aziz Al’Khafaji, Kaitlyn E. Johnson, et al.. (2021). Multifunctional barcoding with ClonMapper enables high-resolution study of clonal dynamics during tumor evolution and treatment. Nature Cancer. 2(7). 758–772. 57 indexed citations

11.

Johnson, Kaitlyn E., et al.. (2021). Real-Time Projections of SARS-CoV-2 B.1.1.7 Variant in a University Setting, Texas, USA. Emerging infectious diseases. 27(12). 3188–3190. 2 indexed citations

12.

Wang, Xutong, Zhanwei Du, Kaitlyn E. Johnson, et al.. (2021). Effects of COVID-19 Vaccination Timing and Risk Prioritization on Mortality Rates, United States. Emerging infectious diseases. 27(7). 1976–1979. 13 indexed citations

13.

Hormuth, David A., Angela M. Jarrett, Kaitlyn E. Johnson, et al.. (2020). Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. iScience. 23(12). 101807–101807. 27 indexed citations

14.

Johnson, Kaitlyn E., R. Durrett, Aziz Al’Khafaji, et al.. (2020). Integrating transcriptomics and bulk time course data into a mathematical framework to describe and predict therapeutic resistance in cancer. Physical Biology. 18(1). 16001–16001. 29 indexed citations

15.

Johnson, Kaitlyn E., et al.. (2019). Cancer cell population growth kinetics at low densities deviate from the exponential growth model and suggest an Allee effect. PLoS Biology. 17(8). e3000399–e3000399. 61 indexed citations

16.

Johnson, Kaitlyn E., Jackson Burton, Dougľas R. White, et al.. (2019). Directional inconsistency between Response Evaluation Criteria in Solid Tumors (RECIST) time to progression and response speed and depth. European Journal of Cancer. 109. 196–203. 7 indexed citations

17.

Johnson, Kaitlyn E., et al.. (2018). A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer. Scientific Reports. 8(1). 12058–12058. 21 indexed citations

18.

Johnson, Kaitlyn E., et al.. (2016). Federal Research and Development Contract Trends and the Supporting Industrial Base, 2000-2014. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations

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.

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