Katelyn M. Gostic
- Epidemiology top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Immunology
- Molecular Biology
- Co-authors
- James O. Lloyd‐SmithMichael WorobeyMonique AmbroseAdam J. KucharskiRiley O. MummahAna C. R. GomezCécile ViboudShane Brady
- Topics
- Influenza Virus Research Studies (9 papers)COVID-19 epidemiological studies (8 papers)Respiratory viral infections research (5 papers)
- Journals
- ScienceNature CommunicationsPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Katelyn M. Gostic
18 papers receiving 931 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Epidemiology 476
- Infectious Diseases 349
- Modeling and Simulation 285
- Immunology 145
- Molecular Biology 92
Countries citing papers authored by Katelyn M. Gostic
This map shows the geographic impact of Katelyn M. Gostic'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 Katelyn M. Gostic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelyn M. Gostic more than expected).
Fields of papers citing papers by Katelyn M. Gostic
This network shows the impact of papers produced by Katelyn M. Gostic. 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 Katelyn M. Gostic. The network helps show where Katelyn M. Gostic may publish in the future.
Co-authorship network of co-authors of Katelyn M. Gostic
This figure shows the co-authorship network connecting the top 25 collaborators of Katelyn M. Gostic. A scholar is included among the top collaborators of Katelyn M. Gostic 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 Katelyn M. Gostic. Katelyn M. Gostic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 271 | |
| 12 | 21 | |
| 13 | Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters [R package EpiNow2 version 1.3.2] | 1 |
| 14 | 83 | |
| 15 | 1 | |
| 16 | 16 | |
| 17 | 82 | |
| 18 | Potent protection against H5N1 and H7N9 influenza via childhood hemagglutinin imprintingbreakdown → | 314 |
| 19 | 40 | |
| 20 | 33 |
About Katelyn M. Gostic
Katelyn M. Gostic is a scholar working on Modeling and Simulation, Parasitology and Infectious Diseases, having authored 20 papers that have together received 949 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (8 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Modeling and Simulation (285 citations), Infectious Diseases (349 citations) and Epidemiology (476 citations). Katelyn M. Gostic has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include James O. Lloyd‐Smith, Michael Worobey, Monique Ambrose, Adam J. Kucharski, Riley O. Mummah, Ana C. R. Gomez, Cécile Viboud, Shane Brady, Dylan H. Morris and Trevor Bedford. Their work appears in journals such as Science, Nature Communications and Philosophical Transactions of the Royal Society B Biological Sciences.
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.