Lilly Kan
Impact in
-
- Neuroscience and Neuropharmacology Research
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Health 5
- Vaccine Coverage and Hesitancy 5
-
- Data-Driven Disease Surveillance 2
- Co-authors
- Kate Prybylowski (1 shared paper)Kai Chang (1 shared paper)Robert J. Wenthold (1 shared paper)Nathalie Sans (1 shared paper)Stefano Vicini (1 shared paper)Daniel A. Salmon (4 shared papers)Jennifer E. Gerber (3 shared papers)Roger Bernier (3 shared papers)
- Journals
- Journal of Public Health Management and Practice (4 papers)Vaccine (2 papers)Emerging infectious diseases (1 paper)Neuron (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Lilly Kan
13 papers receiving 513 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 262
- Health 106
- Developmental Neuroscience 34
- Neurology 42
- Modeling and Simulation 24
Countries citing papers authored by Lilly Kan
This map shows the geographic impact of Lilly Kan'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 Lilly Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilly Kan more than expected).
Fields of papers citing papers by Lilly Kan
This network shows the impact of papers produced by Lilly Kan. 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 Lilly Kan. The network helps show where Lilly Kan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lilly Kan, 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 | 2005 | 313 | |
| 2 | 2021 | 82 | |
| 3 | 2015 | 40 | |
| 4 | National capacity for surveillance, prevention, and control of West Nile virus and other arbovirus infections--United States, 2004 and 2012. | 2014 | 20 |
| 5 | 2011 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2012 | 12 | |
| 8 | 2020 | 8 | |
| 9 | 2015 | 6 | |
| 10 | 2016 | 4 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2011 | 0 |
About Lilly Kan
Lilly Kan is a scholar working on Health, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology, having authored 14 papers that have together received 524 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Data-Driven Disease Surveillance (2 papers), Zoonotic diseases and public health (2 papers), Mosquito-borne diseases and control (2 papers), Public Health Policies and Education (2 papers), Health Policy Implementation Science (1 paper), Educational and Psychological Assessments (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (262 citations), Health (106 citations), Developmental Neuroscience (34 citations), Neurology (42 citations) and Modeling and Simulation (24 citations). Lilly Kan has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Kate Prybylowski, Kai Chang, Robert J. Wenthold, Nathalie Sans, Stefano Vicini, Daniel A. Salmon, Jennifer E. Gerber, Roger Bernier, Janesse Brewer and Matthew Z. Dudley. Their work appears in journals such as Journal of Public Health Management and Practice, Vaccine, Emerging infectious diseases, Neuron and Journal of Clinical Medicine.
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.