Kristin L. Andrejko
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- Microbiology top 10%
-
- Vaccine Coverage and Hesitancy 4
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 3
-
- Pneumonia and Respiratory Infections 9
- Respiratory viral infections research 5
- Pneumocystis jirovecii pneumonia detection and treatment 3
-
- COVID-19 and Mental Health 3
- Co-authors
- Joseph A. LewnardRamanan LaxminarayanWilliam P. HausdorffJustin V. RemaisJennifer R. HeadJulie GutmanJake M. PryLilith K. Whittles
- Journals
- Clinical Infectious Diseases (2 papers)American Journal of Epidemiology (1 paper)The Journal of Infectious Diseases (3 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Kristin L. Andrejko
18 papers receiving 233 citations
Peers
Comparison fields: 5 of 62
- Modeling and Simulation 43
- Microbiology 42
- Applied Microbiology and Biotechnology 13
- Health 29
- Infectious Diseases 62
Countries citing papers authored by Kristin L. Andrejko
This map shows the geographic impact of Kristin L. Andrejko'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 Kristin L. Andrejko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristin L. Andrejko more than expected).
Fields of papers citing papers by Kristin L. Andrejko
This network shows the impact of papers produced by Kristin L. Andrejko. 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 Kristin L. Andrejko. The network helps show where Kristin L. Andrejko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kristin L. Andrejko, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 58 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 17 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 22 |
About Kristin L. Andrejko
Kristin L. Andrejko is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 19 papers that have together received 237 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (9 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (4 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Outbreaks Research (3 papers), COVID-19 and Mental Health (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Modeling and Simulation (43 citations), Microbiology (42 citations) and Applied Microbiology and Biotechnology (13 citations). Kristin L. Andrejko has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Joseph A. Lewnard, Ramanan Laxminarayan, William P. Hausdorff, Justin V. Remais, Jennifer R. Head, Julie Gutman, Joseph A. Lewnard, Jake M. Pry, Lilith K. Whittles and James Watt. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Epidemiology and The Journal of Infectious Diseases.
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.