Jonathan Y. Lam

2.6k citations
16 papers · 199 · h-index 8

Impact in

    • Pancreatic function and diabetes
    • Kawasaki Disease and Coronary Complications

Papers in

    • Pancreatic function and diabetes 5
    • Kawasaki Disease and Coronary Complications 3
    • Genetics and Neurodevelopmental Disorders 3
    • Diabetes and associated disorders 2

Jonathan Y. Lam

15 papers receiving 195 citations

Peers

Jonathan Y. Lam
Comparison fields: 5 of 51
  • Surgery 119
  • Aging 5
  • Endocrinology, Diabetes and Metabolism 36
  • Genetics 59
  • Cellular and Molecular Neuroscience 23
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Wei Hao United States
Emília Ilona Gaál Finland
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Y. Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan Y. Lam Line = papers co-authored together Jonathan Y. Lam links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201837
2 202134
3 202125
4 202024
5 201821
6 202319
7 202215
8 201112
9 20253
10 20242
11 20232
12 20242
13
Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.
20221
14 20241
15 20141
16 20240

About Jonathan Y. Lam

Jonathan Y. Lam is a scholar working on Surgery, Genetics, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 199 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Kawasaki Disease and Coronary Complications (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers), Allergic Rhinitis and Sensitization (1 paper), Supramolecular Chemistry and Complexes (1 paper) and Porphyrin and Phthalocyanine Chemistry (1 paper). The work is most often cited by research in Surgery (119 citations), Aging (5 citations), Endocrinology, Diabetes and Metabolism (36 citations), Genetics (59 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, M. Friedländer, Seokho Kim, Patrick E. MacDonald and Xiao-Qing Dai. Their work appears in journals such as Nature Communications, Pediatric Research, Organic Chemistry Frontiers, npj Parkinson s Disease and PLoS ONE.

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.

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