Mobile Health and mHealth Applications
Mobile Health and mHealth Applications is a research topic within General Health Professions. Science Explorer counts 36k research works in it since 1959. 32.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the use of mobile technology, including smartphones and apps, for health interventions, behavior change, chronic disease management, and patient engagement. It encompasses topics such as text messaging for health promotion, self-monitoring through mobile apps, adherence to treatment via mobile phone reminders, and the effectiveness of mobile health interventions in improving health outcomes.
- Mobile Health
- mHealth
- Health Apps
- Behavior Change
- Chronic Disease Management
- Text Messaging
- Digital Health
- Patient Engagement
- Self-Monitoring
- Adherence
- Research works
- 36k fractional, since 1959
- In the world top 10%
- 12k per year above
- Top-10% rate
- 32.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +75% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Mobile Health and mHealth Applications research?
By volume, the United States and the United Kingdom publish the most (3k and 825 works in 2022–2025).
By volume, 2022–2025
- 1 United States 3k works
- 2 United Kingdom 825 works
- 3 India 626 works
- 4 China 615 works
- 5 Germany 528 works
- 6 Australia 494 works
- 7 Canada 419 works
- 8 Indonesia 384 works
- 9 Brazil 333 works
- 10 Spain 245 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Mobile Health and mHealth Applications research?
By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Mobile Health and mHealth Applications research, followed by Harvard University and The University of Sydney.
By volume, 2022–2025
- 1 University of North Carolina at Chapel HillUnited States 78 works
- 2 Harvard UniversityUnited States 50 works
- 3 The University of SydneyAustralia 45 works
- 4 Johns Hopkins UniversityUnited States 43 works
- 5 University of WashingtonUnited States 36 works
- 6 University of MichiganUnited States 34 works
- 7 University of TorontoCanada 34 works
- 8 University of California, San FranciscoUnited States 33 works
- 9 University College LondonUnited Kingdom 32 works
- 10 Design Intelligence (United States)United States 32 works
Who are the leading researchers in Mobile Health and mHealth Applications?
The most-cited researchers publishing on Mobile Health and mHealth Applications include Florian Fischer, Josep María Haro and Azeem Majeed.
- 1 Florian Fischer United States 7k citations
- 2 Josep María Haro Spain 6.4k citations
- 3 Azeem Majeed United Kingdom 6k citations
- 4 Sheikh Mohammed Shariful Islam Australia 5.8k citations
- 5 Aziz Sheikh United Kingdom 5.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Mobile Health and mHealth Applications research done?
The largest centres of Mobile Health and mHealth Applications research in 2022–2025 are London (United Kingdom), New York (United States), Boston (United States) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Norman.
Largest cities, 2022–2025
- 1 London United Kingdom 247 works
- 2 New York United States 144 works
- 3 Boston United States 120 works
- 4 Seoul South Korea 111 works
- 5 Melbourne Australia 110 works
- 6 Sydney Australia 109 works
- 7 Beijing China 99 works
- 8 Singapore Singapore 99 works
- 9 Toronto Canada 93 works
- 10 Chapel Hill United States 82 works
Where it is the local speciality
- NormanUS · 34.5 works8.7×
Location quotient: how much more of its research is in Mobile Health and mHealth Applications than the world average.
Where is the best place to study Mobile Health and mHealth Applications?
Among universities, judged by research, University of Gondar, National University Health System and London School of Hygiene & Tropical Medicine score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of GondarEthiopia | 77.3 | 63.6% | 10.3× | 18 | +174.9% |
| 2 | National University Health SystemSingapore | 73.3 | 54.3% | 12.2× | 9 | +233.1% |
| 3 | London School of Hygiene & Tropical MedicineUnited Kingdom | 68.9 | 39.9% | 10.9× | 19 | +82.0% |
| 4 | Makerere UniversityUganda | 66.5 | 33.2% | 10.1× | 21 | +146.3% |
| 5 | National University of SingaporeSingapore | 61.3 | 50.8% | 2.2× | 25 | +405.8% |
| 6 | Deakin UniversityAustralia | 60.6 | 49.6% | 5.2× | 27 | +109.3% |
| 7 | The University of SydneyAustralia | 59.8 | 47.9% | 4.0× | 45 | +87.7% |
| 8 | Harvard UniversityUnited States | 59.6 | 41.6% | 3.5× | 50 | +134.4% |
| 9 | Karolinska InstitutetSweden | 58.5 | 36.3% | 4.2× | 22 | +203.5% |
| 10 | Iranshahr UniversityIran | 55.6 | 34.0% | 9.0× | 9 | +315.0% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Mobile Health and mHealth Applications research growing?
Output in 2018–2022 was 75% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Mobile Health and mHealth Applications.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.