Jonathan Y. Lam
Impact in
-
- Pancreatic function and diabetes
- Kawasaki Disease and Coronary Complications
Papers in
- Surgery 8
- Pancreatic function and diabetes 5
- Kawasaki Disease and Coronary Complications 3
-
- Sepsis Diagnosis and Treatment 3
- Co-authors
- Seung K. Kim (5 shared papers)Xueying Gu (4 shared papers)Heshan Peiris (3 shared papers)Romina J. Bevacqua (3 shared papers)Robert L. Whitener (2 shared papers)Rita Bottino (2 shared papers)Seokho Kim (2 shared papers)M. Friedländer (2 shared papers)
- Journals
- Nature Communications (2 papers)Organic Chemistry Frontiers (1 paper)Genes & Development (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jonathan Y. Lam
14 papers receiving 182 citations
Peers
Comparison fields: 5 of 59
- Aging 5
- Surgery 117
- Endocrinology, Diabetes and Metabolism 43
- Genetics 67
- Cellular and Molecular Neuroscience 23
Countries citing papers authored by Jonathan Y. Lam
This map shows the geographic impact of Jonathan Y. 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 Jonathan Y. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Y. Lam more than expected).
Fields of papers citing papers by Jonathan Y. Lam
This network shows the impact of papers produced by Jonathan Y. 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 Jonathan Y. Lam. The network helps show where Jonathan Y. Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Y. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 35 | |
| 2 | 2021 | 34 | |
| 3 | 2021 | 25 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 21 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2011 | 12 | |
| 9 | 2023 | 2 | |
| 10 | Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. | 2022 | 1 |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Jonathan Y. Lam
Jonathan Y. Lam is a scholar working on Surgery, Epidemiology, Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 186 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Kawasaki Disease and Coronary Complications (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Sepsis Diagnosis and Treatment (3 papers), Diabetes Management and Research (2 papers), COVID-19 diagnosis using AI (2 papers), Diabetes and associated disorders (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Aging (5 citations), Surgery (117 citations), Endocrinology, Diabetes and Metabolism (43 citations), Genetics (67 citations) and Cellular and Molecular Neuroscience (23 citations). Jonathan Y. Lam has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Seung K. Kim, Xueying Gu, Heshan Peiris, Romina J. Bevacqua, Robert L. Whitener, Rita Bottino, Seokho Kim, M. Friedländer, Krissie Tellez and Patrick E. MacDonald. Their work appears in journals such as Nature Communications, Organic Chemistry Frontiers, Genes & Development, American Journal of Physiology-Lung Cellular and Molecular Physiology and Pediatric 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.