Kyle Lam
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Artificial Intelligence in Healthcare and Education 15
-
- COVID-19 diagnosis using AI 2
- Co-authors
- Lord Ara Darzi (10 shared papers)Fahad Mujtaba Iqbal (6 shared papers)Hutan Ashrafian (7 shared papers)Jonathan Clarke (3 shared papers)Viknesh Sounderajah (3 shared papers)Sanjay Purkayastha (8 shared papers)Wu Yuan (3 shared papers)Benny P. L. Lo (4 shared papers)
- Journals
- EClinicalMedicine (4 papers)Journal of Medical Internet Research (3 papers)npj Digital Medicine (3 papers)British journal of surgery (2 papers)The Lancet Regional Health - Western Pacific (2 papers)
- Partner nations
- United KingdomHong KongUnited States
In The Last Decade
Kyle Lam
35 papers receiving 1.7k citations
Kyle Lam's Hit Papers
Peers
Comparison fields: 5 of 137
- Health Informatics 544
- Neurology 208
- Family Practice 24
- Radiology, Nuclear Medicine and Imaging 241
- Health Information Management 46
Countries citing papers authored by Kyle Lam
This map shows the geographic impact of Kyle 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 Kyle Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Lam more than expected).
Fields of papers citing papers by Kyle Lam
This network shows the impact of papers produced by Kyle 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 Kyle Lam. The network helps show where Kyle Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChatGPT: the future of discharge summaries? Hit paper breakdown → | 2023 | 544 |
| 2 | Characteristics and predictors of acute and chronic post-COVID syndrome: A systematic review and meta-analysis Hit paper breakdown → | 2021 | 240 |
| 3 | 2023 | 159 | |
| 4 | 2022 | 110 | |
| 5 | LLM-based agentic systems in medicine and healthcare Hit paper breakdown → | 2024 | 86 |
| 6 | 2022 | 61 | |
| 7 | 2021 | 59 | |
| 8 | The efficacy of team-based learning in developing the generic capability of problem-solving ability and critical thinking skills in nursing education: A systematic review Hit paper breakdown → | 2023 | 48 |
| 9 | 2024 | 41 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2025 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2019 | 25 | |
| 15 | 2021 | 25 | |
| 16 | 2024 | 19 | |
| 17 | 2018 | 18 | |
| 18 | 2023 | 18 | |
| 19 | 2024 | 15 | |
| 20 | 2023 | 15 |
About Kyle Lam
Kyle Lam is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Health, Toxicology and Mutagenesis, Surgery and Artificial Intelligence, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (15 papers), Surgical Simulation and Training (5 papers), Machine Learning in Healthcare (4 papers), Climate Change and Health Impacts (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), COVID-19 diagnosis using AI (2 papers), Augmented Reality Applications (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Health Informatics (544 citations), Neurology (208 citations), Family Practice (24 citations), Radiology, Nuclear Medicine and Imaging (241 citations) and Health Information Management (46 citations). Kyle Lam has collaborated with scholars based in United Kingdom, Hong Kong and United States. Frequent co-authors include Lord Ara Darzi, Fahad Mujtaba Iqbal, Hutan Ashrafian, Jonathan Clarke, Viknesh Sounderajah, Sanjay Purkayastha, Wu Yuan, Benny P. L. Lo, Jianing Qiu and Amish Acharya. Their work appears in journals such as EClinicalMedicine, Journal of Medical Internet Research, npj Digital Medicine, British journal of surgery and The Lancet Regional Health - Western Pacific.
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.