Jared Mecha
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- HIV/AIDS Research and Interventions 5
- Tuberculosis Research and Epidemiology 2
-
- Obstructive Sleep Apnea Research 2
- Co-authors
- Xi Wang (1 shared paper)Huayang Liu (1 shared paper)Xuqing Liu (1 shared paper)Mingrui Liao (1 shared paper)Xuzhi Hu (1 shared paper)Jian R. Lu (1 shared paper)Kenneth Mutai (4 shared papers)Mark Joshi (1 shared paper)
- Journals
- BMC Public Health (2 papers)BMC Medical Genomics (1 paper)Sleep Medicine (1 paper)Tuberculosis (1 paper)BMJ Open Respiratory Research (1 paper)
- Partner nations
- KenyaUnited KingdomUnited States
In The Last Decade
Jared Mecha
16 papers receiving 262 citations
Jared Mecha's Hit Papers
Peers
Comparison fields: 5 of 78
- Modeling and Simulation 29
- General Dentistry 7
- Pulmonary and Respiratory Medicine 88
- Infectious Diseases 37
- Endocrine and Autonomic Systems 12
Countries citing papers authored by Jared Mecha
This map shows the geographic impact of Jared Mecha'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 Jared Mecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Mecha more than expected).
Fields of papers citing papers by Jared Mecha
This network shows the impact of papers produced by Jared Mecha. 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 Jared Mecha. The network helps show where Jared Mecha may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared Mecha, 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 | A technical review of face mask wearing in preventing respiratory COVID-19 transmission Hit paper breakdown → | 2021 | 182 |
| 2 | 2017 | 32 | |
| 3 | 2023 | 11 | |
| 4 | 2020 | 9 | |
| 5 | 2022 | 9 | |
| 6 | 2018 | 7 | |
| 7 | 2023 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2016 | 0 | |
| 18 | Implementation of HIV discordant couple care and treatment program in a Kenyan referral hospital | 2015 | 0 |
About Jared Mecha
Jared Mecha is a scholar working on Infectious Diseases, Physiology, Pulmonary and Respiratory Medicine, Economics and Econometrics and Modeling and Simulation, having authored 18 papers that have together received 274 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), Tuberculosis Research and Epidemiology (2 papers), COVID-19 epidemiological studies (2 papers), Obstructive Sleep Apnea Research (2 papers), Infection Control and Ventilation (1 paper), COVID-19 and healthcare impacts (1 paper), Mobile Health and mHealth Applications (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Modeling and Simulation (29 citations), General Dentistry (7 citations), Pulmonary and Respiratory Medicine (88 citations), Infectious Diseases (37 citations) and Endocrine and Autonomic Systems (12 citations). Jared Mecha has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Xi Wang, Huayang Liu, Xuqing Liu, Mingrui Liao, Xuzhi Hu, Jian R. Lu, Kenneth Mutai, Mark Joshi, Maarten Beekman and Catherine Ngugi. Their work appears in journals such as BMC Public Health, BMC Medical Genomics, Sleep Medicine, Tuberculosis and BMJ Open Respiratory Research.
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.