Nadia Inglis
Impact in
- Health top 5%
- Social Media in Health Education
- General Health Professions top 5%
- Health Literacy and Information Accessibility
- Mobile Health and mHealth Applications
Papers in
-
- Child and Adolescent Health 2
- Health Literacy and Information Accessibility 1
- Health 4
- Vaccine Coverage and Hesitancy 2
- Co-authors
- Shirley Large (1 shared paper)John Powell (1 shared paper)Jo Parsons (2 shared papers)Wendy Robertson (1 shared paper)Sarah Stewart‐Brown (1 shared paper)Katie Newby (2 shared papers)Margaret Thorogood (1 shared paper)Babatunde Olowokure (2 shared papers)
- Journals
- Epidemiology and Infection (1 paper)International Journal of STD & AIDS (1 paper)Family Practice (1 paper)BMC Medicine (1 paper)Child Care Health and Development (1 paper)
- Partner nations
- United KingdomAustraliaTaiwan
In The Last Decade
Nadia Inglis
9 papers receiving 410 citations
Nadia Inglis's Hit Papers
Peers
Comparison fields: 5 of 90
- Health 142
- General Health Professions 266
- Modeling and Simulation 30
- Medical Terminology 1
- Applied Psychology 19
Countries citing papers authored by Nadia Inglis
This map shows the geographic impact of Nadia Inglis'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 Nadia Inglis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Inglis more than expected).
Fields of papers citing papers by Nadia Inglis
This network shows the impact of papers produced by Nadia Inglis. 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 Nadia Inglis. The network helps show where Nadia Inglis may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Inglis, 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 | The Characteristics and Motivations of Online Health Information Seekers: Cross-Sectional Survey and Qualitative Interview Study Hit paper breakdown → | 2011 | 337 |
| 2 | 2012 | 29 | |
| 3 | 2011 | 24 | |
| 4 | 2016 | 17 | |
| 5 | 2021 | 7 | |
| 6 | 2013 | 6 | |
| 7 | 2013 | 3 | |
| 8 | 2009 | 1 | |
| 9 | 2011 | 1 |
About Nadia Inglis
Nadia Inglis is a scholar working on General Health Professions, Health, Epidemiology, Public Health, Environmental and Occupational Health and Pharmacy, having authored 9 papers that have together received 425 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Obesity and Health Practices (2 papers), COVID-19 epidemiological studies (2 papers), Obesity, Physical Activity, Diet (2 papers), Child and Adolescent Health (2 papers), Vaccine Coverage and Hesitancy (2 papers), Smoking Behavior and Cessation (1 paper) and Health Literacy and Information Accessibility (1 paper). The work is most often cited by research in Health (142 citations), General Health Professions (266 citations), Modeling and Simulation (30 citations), Medical Terminology (1 citation) and Applied Psychology (19 citations). Nadia Inglis has collaborated with scholars based in United Kingdom, Australia and Taiwan. Frequent co-authors include Shirley Large, John Powell, Jo Parsons, Wendy Robertson, Sarah Stewart‐Brown, Katie Newby, Margaret Thorogood, Babatunde Olowokure, Gillian Smith and Thomas House. Their work appears in journals such as Epidemiology and Infection, International Journal of STD & AIDS, Family Practice, BMC Medicine and Child Care Health and Development.
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.