Kristine M. Smith
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics top 10%
- Insect Science top 5%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Co-authors
- William B. KareshPeter DaszakCatherine MachalabaYasha FeferholtzCarlos Zambrana‐TorrelioRichard SeifmanElizabeth H. LohMelinda K. Rostal
- Topics
- Animal Disease Management and Epidemiology (4 papers)Zoonotic diseases and public health (4 papers)Viral Infections and Vectors (3 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Kristine M. Smith
13 papers receiving 764 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Ecology, Evolution, Behavior and Systematics 204
- Genetics 198
- Insect Science 197
- Public Health, Environmental and Occupational Health 170
- Infectious Diseases 148
Countries citing papers authored by Kristine M. Smith
This map shows the geographic impact of Kristine M. Smith'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 Kristine M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristine M. Smith more than expected).
Fields of papers citing papers by Kristine M. Smith
This network shows the impact of papers produced by Kristine M. Smith. 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 Kristine M. Smith. The network helps show where Kristine M. Smith may publish in the future.
Co-authorship network of co-authors of Kristine M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Kristine M. Smith. A scholar is included among the top collaborators of Kristine M. Smith 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 Kristine M. Smith. Kristine M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 4 | |
| 3 | Infectious disease and economics: The case for considering multi-sectoral impactsbreakdown → | 197 |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 75 | |
| 7 | 47 | |
| 8 | 205 | |
| 9 | 113 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 43 |
About Kristine M. Smith
Kristine M. Smith is a scholar working on Agronomy and Crop Science, Parasitology and Infectious Diseases, having authored 13 papers that have together received 792 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (4 papers), Zoonotic diseases and public health (4 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Insect Science (197 citations), Modeling and Simulation (63 citations) and Agronomy and Crop Science (132 citations). Kristine M. Smith has collaborated with scholars based in United States, France and Australia. Frequent co-authors include William B. Karesh, Peter Daszak, Catherine Machalaba, Yasha Feferholtz, Carlos Zambrana‐Torrelio, Richard Seifman, Elizabeth H. Loh, Melinda K. Rostal, Allan P. Pessier and Jonathan E. Kolby. Their work appears in journals such as PLoS ONE, Emerging infectious diseases and Scientific Data.
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.