William G. Lindsley
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 7
- General Dentistry top 1%
- Pulmonary and Respiratory Medicine top 0.5%
- Infection Control and Ventilation 43
-
- Indoor Air Quality and Microbial Exposure 13
- Air Quality and Health Impacts 6
- Infectious Diseases top 2%
- Infection Control in Healthcare 7
-
- Respiratory viral infections research 19
- Influenza Virus Research Studies 9
-
- COVID-19 and healthcare impacts 10
- Co-authors
- Donald H. BeezholdFrançoise M. BlachèreJohn D. NotiRobert E. ThewlisMelanie FisherRashida KhakooBean T. ChenJonathan V. Szalajda
- Journals
- Proceedings of the National Academy of Sciences (1 paper)JAMA (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
William G. Lindsley
76 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 167
- Modeling and Simulation 623
- General Dentistry 148
- Pulmonary and Respiratory Medicine 2.5k
- Health, Toxicology and Mutagenesis 778
- Infectious Diseases 897
Countries citing papers authored by William G. Lindsley
This map shows the geographic impact of William G. Lindsley'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 William G. Lindsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Lindsley more than expected).
Fields of papers citing papers by William G. Lindsley
This network shows the impact of papers produced by William G. Lindsley. 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 William G. Lindsley. The network helps show where William G. Lindsley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William G. Lindsley, 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 | 1 | |
| 2 | 2021 | 39 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 21 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 30 | |
| 8 | 2016 | 48 | |
| 9 | 2015 | 198 | |
| 10 | 2015 | 32 | |
| 11 | 2014 | 20 | |
| 12 | 2012 | 138 | |
| 13 | 2012 | 74 | |
| 14 | 2012 | 233 | |
| 15 | 2011 | 63 | |
| 16 | 2011 | 152 | |
| 17 | 2011 | 28 | |
| 18 | 2010 | 327 | |
| 19 | 2009 | 260 | |
| 20 | 2007 | 34 |
About William G. Lindsley
William G. Lindsley is a scholar working on Modeling and Simulation, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 78 papers that have together received 4.1k indexed citations. Recurring topics across this work include Infection Control and Ventilation (43 papers), Respiratory viral infections research (19 papers), Indoor Air Quality and Microbial Exposure (13 papers), COVID-19 and healthcare impacts (10 papers), Influenza Virus Research Studies (9 papers), Infection Control in Healthcare (7 papers), COVID-19 epidemiological studies (7 papers) and Air Quality and Health Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (623 citations), General Dentistry (148 citations) and Pulmonary and Respiratory Medicine (2.5k citations). William G. Lindsley has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Donald H. Beezhold, Françoise M. Blachère, John D. Noti, Robert E. Thewlis, Melanie Fisher, Rashida Khakoo, Bean T. Chen, Jonathan V. Szalajda, Gang Cao and Stephen B. Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and SHILAP Revista de lepidopterología.
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.