John A. Lednicky
Impact in
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 0.5%
Papers in
-
- Viral Infections and Vectors 48
- Viral gastroenteritis research and epidemiology 26
- Co-authors
- Janet S. ButelTony WenDenise J. JamiesonJohn C. SmulianSonja A. RasmussenJulia C. LoebChang‐Yu WuJ. Glenn Morris
- Journals
- Clinical Infectious Diseases (10 papers)Aerosol Science and Technology (9 papers)Virology Journal (8 papers)Viruses (7 papers)Emerging infectious diseases (6 papers)
- Partner nations
- United StatesItalyVenezuela
In The Last Decade
John A. Lednicky
185 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Infectious Diseases 2.7k
- Modeling and Simulation 617
- Obstetrics and Gynecology 726
- Oncology 1.5k
- Animal Science and Zoology 491
Countries citing papers authored by John A. Lednicky
This map shows the geographic impact of John A. Lednicky'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 John A. Lednicky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Lednicky more than expected).
Fields of papers citing papers by John A. Lednicky
This network shows the impact of papers produced by John A. Lednicky. 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 John A. Lednicky. The network helps show where John A. Lednicky may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Lednicky, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 63 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 16 | |
| 11 | Independent infections of porcine deltacoronavirus among Haitian children Hit paper breakdown → | 2021 | 228 |
| 12 | 2021 | 6 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2014 | 30 |
About John A. Lednicky
John A. Lednicky is a scholar working on Infectious Diseases, Modeling and Simulation, Agronomy and Crop Science, Epidemiology and Animal Science and Zoology, having authored 195 papers that have together received 6.6k indexed citations. Recurring topics across this work include Viral Infections and Vectors (48 papers), Mosquito-borne diseases and control (39 papers), Infection Control and Ventilation (36 papers), Respiratory viral infections research (32 papers), Polyomavirus and related diseases (26 papers), Viral gastroenteritis research and epidemiology (26 papers), Influenza Virus Research Studies (22 papers) and Animal Disease Management and Epidemiology (22 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Modeling and Simulation (617 citations), Obstetrics and Gynecology (726 citations), Oncology (1.5k citations) and Animal Science and Zoology (491 citations). John A. Lednicky has collaborated with scholars based in United States, Italy and Venezuela. Frequent co-authors include Janet S. Butel, Tony Wen, Denise J. Jamieson, John C. Smulian, Sonja A. Rasmussen, Julia C. Loeb, Chang‐Yu Wu, J. Glenn Morris, Alberto Paniz‐Mondolfi and Marco Salemi. Their work appears in journals such as Clinical Infectious Diseases, Aerosol Science and Technology, Virology Journal, Viruses and Emerging 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.