Kimberly Wilkins
- Virology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Infectious Diseases top 10%
- Plant Science
- Co-authors
- Inger K. DamonYu LiHui ZhaoChristine M. HughesAndrea M. McCollumMary G. ReynoldsWhitni DavidsonKevin L. Karem
- Topics
- Poxvirus research and outbreaks (33 papers)Bacillus and Francisella bacterial research (20 papers)Herpesvirus Infections and Treatments (20 papers)
- Journals
- Clinical Infectious DiseasesJournal of Clinical MicrobiologyThe Journal of Infectious Diseases
- Partner nations
- United StatesDemocratic Republic of the CongoUnited Kingdom
In The Last Decade
Kimberly Wilkins
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Virology 1.0k
- Molecular Biology 750
- Epidemiology 732
- Infectious Diseases 128
- Plant Science 116
Countries citing papers authored by Kimberly Wilkins
This map shows the geographic impact of Kimberly Wilkins'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 Wilkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Wilkins more than expected).
Fields of papers citing papers by Kimberly Wilkins
This network shows the impact of papers produced by Kimberly Wilkins. 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 Wilkins. The network helps show where Kimberly Wilkins may publish in the future.
Co-authorship network of co-authors of Kimberly Wilkins
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Wilkins. A scholar is included among the top collaborators of Kimberly Wilkins 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 Wilkins. Kimberly Wilkins 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 | 2 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 87 | |
| 6 | 24 | |
| 7 | 14 | |
| 8 | 65 | |
| 9 | 6 | |
| 10 | 78 | |
| 11 | 50 | |
| 12 | Short Report: Detection of Human Monkeypox in the Republic of the Congo Following Intensive Community Education | 3 |
| 13 | 23 | |
| 14 | 28 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 90 | |
| 18 | 10 | |
| 19 | 294 | |
| 20 | Human vaccinia infection after contact with a raccoon rabies vaccine bait - Pennsylvania, 2009. | 45 |
About Kimberly Wilkins
Kimberly Wilkins is a scholar working on Virology, Epidemiology and Agronomy and Crop Science, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (33 papers), Bacillus and Francisella bacterial research (20 papers) and Herpesvirus Infections and Treatments (20 papers). The work is most often cited by research in Virology (1.0k citations), Epidemiology (732 citations) and Molecular Biology (750 citations). Kimberly Wilkins has collaborated with scholars based in United States, Democratic Republic of the Congo and United Kingdom. Frequent co-authors include Inger K. Damon, Yu Li, Hui Zhao, Christine M. Hughes, Andrea M. McCollum, Mary G. Reynolds, Whitni Davidson, Kevin L. Karem, Jinxin Gao and Elisabeth Pukuta. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology 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.