Kimberly M. Edwards
- Epidemiology top 10%
- Infectious Diseases top 10%
- Agronomy and Crop Science top 5%
- Modeling and Simulation top 5%
- Molecular Biology
- Co-authors
- Dhanasekaran VijaykrishnaRuopeng XieBenjamin J. CowlingSheena G. SullivanIan BarrArseniy KhvorovSophie A. ValkenburgLeo L. M. Poon
- Topics
- Influenza Virus Research Studies (7 papers)Viral Infections and Vectors (5 papers)Animal Disease Management and Epidemiology (4 papers)
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- Hong KongUnited StatesAustralia
In The Last Decade
Kimberly M. Edwards
9 papers receiving 335 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Epidemiology 250
- Infectious Diseases 179
- Agronomy and Crop Science 96
- Modeling and Simulation 52
- Molecular Biology 36
Countries citing papers authored by Kimberly M. Edwards
This map shows the geographic impact of Kimberly M. Edwards'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 Kimberly M. Edwards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly M. Edwards more than expected).
Fields of papers citing papers by Kimberly M. Edwards
This network shows the impact of papers produced by Kimberly M. Edwards. 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 Kimberly M. Edwards. The network helps show where Kimberly M. Edwards may publish in the future.
Co-authorship network of co-authors of Kimberly M. Edwards
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly M. Edwards. A scholar is included among the top collaborators of Kimberly M. Edwards 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 Kimberly M. Edwards. Kimberly M. Edwards 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 | The episodic resurgence of highly pathogenic avian influenza H5 virusbreakdown → | 143 |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | Human seasonal influenza under COVID-19 and the potential consequences of influenza lineage eliminationbreakdown → | 144 |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 11 |
About Kimberly M. Edwards
Kimberly M. Edwards is a scholar working on Modeling and Simulation, Infectious Diseases and Agronomy and Crop Science, having authored 11 papers that have together received 339 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Viral Infections and Vectors (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Infectious Diseases (179 citations) and Agronomy and Crop Science (96 citations). Kimberly M. Edwards has collaborated with scholars based in Hong Kong, United States and Australia. Frequent co-authors include Dhanasekaran Vijaykrishna, Ruopeng Xie, Benjamin J. Cowling, Sheena G. Sullivan, Ian Barr, Arseniy Khvorov, Sophie A. Valkenburg, Leo L. M. Poon, Richard J. Webby and Mark Zanin. Their work appears in journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.
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.