Ching Lam
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Behavioral Health and Interventions
- Health Informatics top 10%
Papers in
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- Mobile Health and mHealth Applications 8
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- Biomedical Ethics and Regulation 6
- Co-authors
- Edward Meinert (23 shared papers)Madison Milne‐Ives (12 shared papers)Michelle Helena van Velthoven (14 shared papers)Caroline de Cock (4 shared papers)Abrar Alturkistani (4 shared papers)Kimberley Foley (2 shared papers)Zhanfeng Cui (5 shared papers)Aidong Yang (5 shared papers)
- Journals
- Nuclear Physics B (2 papers)JMIR Public Health and Surveillance (2 papers)Journal of Medical Internet Research (2 papers)Diabetes Care (2 papers)Cytotherapy (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Ching Lam
28 papers receiving 574 citations
Peers
Comparison fields: 5 of 124
- Applied Psychology 145
- Health Informatics 20
- Algebra and Number Theory 38
- General Health Professions 206
- Geometry and Topology 39
Countries citing papers authored by Ching Lam
This map shows the geographic impact of Ching Lam'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 Ching Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching Lam more than expected).
Fields of papers citing papers by Ching Lam
This network shows the impact of papers produced by Ching Lam. 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 Ching Lam. The network helps show where Ching Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 224 | |
| 2 | 2019 | 48 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 31 | |
| 6 | 2022 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2003 | 20 | |
| 10 | 2003 | 20 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 1972 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2019 | 4 |
About Ching Lam
Ching Lam is a scholar working on General Health Professions, Physiology, Public Health, Environmental and Occupational Health, Applied Psychology and Oncology, having authored 32 papers that have together received 593 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (8 papers), Biomedical Ethics and Regulation (6 papers), Digital Mental Health Interventions (5 papers), CAR-T cell therapy research (4 papers), Herpesvirus Infections and Treatments (4 papers), Obesity, Physical Activity, Diet (3 papers), Biomedical and Engineering Education (3 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Applied Psychology (145 citations), Health Informatics (20 citations), Algebra and Number Theory (38 citations), General Health Professions (206 citations) and Geometry and Topology (39 citations). Ching Lam has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Edward Meinert, Madison Milne‐Ives, Michelle Helena van Velthoven, Caroline de Cock, Abrar Alturkistani, Kimberley Foley, Zhanfeng Cui, Aidong Yang, Hiroshi Yamauchi and Hiromichi Yamada. Their work appears in journals such as Nuclear Physics B, JMIR Public Health and Surveillance, Journal of Medical Internet Research, Diabetes Care and Cytotherapy.
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.