Laina D. Mercer
Impact in
- Applied Psychology top 2%
- Behavioral Health and Interventions
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- Behavioral Health and Interventions 6
-
- COVID-19 epidemiological studies 3
- Co-authors
- Jaimee L. HeffnerJonathan B. BrickerElise LankiewiczDavid BenkeserChris BeyrerStefan BaralGregorio A. MillettJeffrey S. Crowley
- Journals
- Vaccine (4 papers)BMC Medicine (2 papers)The Lancet Infectious Diseases (2 papers)npj Vaccines (2 papers)PLoS neglected tropical diseases (2 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Laina D. Mercer
42 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Applied Psychology 293
- Modeling and Simulation 198
- Health 295
- Infectious Diseases 372
- General Health Professions 487
Countries citing papers authored by Laina D. Mercer
This map shows the geographic impact of Laina D. Mercer'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 Laina D. Mercer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laina D. Mercer more than expected).
Fields of papers citing papers by Laina D. Mercer
This network shows the impact of papers produced by Laina D. Mercer. 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 Laina D. Mercer. The network helps show where Laina D. Mercer may publish in the future.
Co-authors
The 25 scholars most cited alongside Laina D. Mercer, 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 | 2024 | 9 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 26 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 20 | |
| 11 | 2014 | 81 | |
| 12 | 2014 | 71 | |
| 13 | 2014 | 273 | |
| 14 | 2014 | 12 | |
| 15 | 2014 | 22 | |
| 16 | 2013 | 79 | |
| 17 | 2013 | 44 | |
| 18 | 2013 | 69 | |
| 19 | 2012 | 12 | |
| 20 | 2011 | 14 |
About Laina D. Mercer
Laina D. Mercer is a scholar working on Applied Psychology, Modeling and Simulation, Infectious Diseases, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (9 papers), Smoking Behavior and Cessation (6 papers), Behavioral Health and Interventions (6 papers), Animal Virus Infections Studies (3 papers), Statistical Methods and Bayesian Inference (3 papers), COVID-19 epidemiological studies (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Applied Psychology (293 citations), Modeling and Simulation (198 citations), Health (295 citations), Infectious Diseases (372 citations) and General Health Professions (487 citations). Laina D. Mercer has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Jaimee L. Heffner, Jonathan B. Bricker, Elise Lankiewicz, David Benkeser, Chris Beyrer, Stefan Baral, Gregorio A. Millett, Jeffrey S. Crowley, Leandro Mena and Austin Jones. Their work appears in journals such as Vaccine, BMC Medicine, The Lancet Infectious Diseases, npj Vaccines and PLoS neglected tropical 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.