William Garrard
Impact in
-
- Health disparities and outcomes
-
- Cell death mechanisms and regulation
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
Papers in
-
- Acute Ischemic Stroke Management 1
- Healthcare Systems and Public Health 1
-
- RNA Interference and Gene Delivery 2
- Co-authors
- Piotr Wiland (1 shared paper)Xuesong Liu (1 shared paper)Xiaodong Wang (1 shared paper)Hua Zou (1 shared paper)June Lascelles (1 shared paper)Floyd Thoma (4 shared papers)Suresh Mulukutla (3 shared papers)Jared W. Magnani (3 shared papers)
- Journals
- Journal of Bacteriology (1 paper)International Journal of Epidemiology (1 paper)Annals of Internal Medicine (1 paper)Journal of Biological Chemistry (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- United StatesPolandCanada
In The Last Decade
William Garrard
11 papers receiving 337 citations
Peers
Comparison fields: 5 of 93
- Health 28
- Molecular Biology 184
- Infectious Diseases 31
- Cardiology and Cardiovascular Medicine 35
- Toxicology 5
Countries citing papers authored by William Garrard
This map shows the geographic impact of William Garrard'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 Garrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Garrard more than expected).
Fields of papers citing papers by William Garrard
This network shows the impact of papers produced by William Garrard. 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 Garrard. The network helps show where William Garrard may publish in the future.
Co-authors
The 25 scholars most cited alongside William Garrard, 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 | 1999 | 156 | |
| 2 | 2021 | 71 | |
| 3 | 1968 | 31 | |
| 4 | 2023 | 25 | |
| 5 | 2019 | 20 | |
| 6 | 1975 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2014 | 2 | |
| 11 | Development of tools for the analysis of messages in controlled social network environments | 2017 | 1 |
| 12 | 2022 | 0 |
About William Garrard
William Garrard is a scholar working on Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Emergency Medicine and Infectious Diseases, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (2 papers), RNA Interference and Gene Delivery (2 papers), Gaze Tracking and Assistive Technology (1 paper), Mental Health via Writing (1 paper), Emergency and Acute Care Studies (1 paper), Acute Ischemic Stroke Management (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Health (28 citations), Molecular Biology (184 citations), Infectious Diseases (31 citations), Cardiology and Cardiovascular Medicine (35 citations) and Toxicology (5 citations). William Garrard has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Piotr Wiland, Xuesong Liu, Xiaodong Wang, Hua Zou, June Lascelles, Floyd Thoma, Suresh Mulukutla, Jared W. Magnani, Jianhui Zhu and Kiarri N. Kershaw. Their work appears in journals such as Journal of Bacteriology, International Journal of Epidemiology, Annals of Internal Medicine, Journal of Biological Chemistry and Journal of the American Heart Association.
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.