K. Danielle Lecy
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 1
-
- Respiratory viral infections research 2
- Influenza Virus Research Studies 1
- Pneumonia and Respiratory Infections 1
- Co-authors
- Kiersten J. Kugeler (1 shared paper)Gayle Langley (1 shared paper)Gail Thompson (1 shared paper)Felicita Medalla (1 shared paper)A. Angelica Trujillo (1 shared paper)Louise Francois Watkins (1 shared paper)Katrin S. Sadigh (1 shared paper)Leisha D. Nolen (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (1 paper)Infection Control and Hospital Epidemiology (1 paper)Open Forum Infectious Diseases (1 paper)The Pediatric Infectious Disease Journal (1 paper)
- Partner nations
- United States
In The Last Decade
K. Danielle Lecy
4 papers receiving 286 citations
K. Danielle Lecy's Hit Papers
Peers
Comparison fields: 5 of 57
- Modeling and Simulation 50
- Infectious Diseases 179
- Health 65
- Microbiology 25
- Obstetrics and Gynecology 8
Countries citing papers authored by K. Danielle Lecy
This map shows the geographic impact of K. Danielle Lecy'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 K. Danielle Lecy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Danielle Lecy more than expected).
Fields of papers citing papers by K. Danielle Lecy
This network shows the impact of papers produced by K. Danielle Lecy. 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 K. Danielle Lecy. The network helps show where K. Danielle Lecy may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Danielle Lecy, 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 | COVID-19 Vaccine Breakthrough Infections Reported to CDC — United States, January 1–April 30, 2021 Hit paper breakdown → | 2021 | 261 |
| 2 | 2017 | 23 | |
| 3 | 2015 | 3 | |
| 4 | 2021 | 2 |
About K. Danielle Lecy
K. Danielle Lecy is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Health and Organic Chemistry, having authored 4 papers that have together received 289 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Bacterial Infections and Vaccines (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), Vaccine Coverage and Hesitancy (1 paper), SARS-CoV-2 detection and testing (1 paper), Influenza Virus Research Studies (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Modeling and Simulation (50 citations), Infectious Diseases (179 citations), Health (65 citations), Microbiology (25 citations) and Obstetrics and Gynecology (8 citations). K. Danielle Lecy has collaborated with scholars based in United States. Frequent co-authors include Kiersten J. Kugeler, Gayle Langley, Gail Thompson, Felicita Medalla, A. Angelica Trujillo, Louise Francois Watkins, Katrin S. Sadigh, Leisha D. Nolen, Sara Bressler and Meseret G. Birhane. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Infection Control and Hospital Epidemiology, Open Forum Infectious Diseases and The Pediatric Infectious Disease Journal.
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.