Jun Guan

133 papers receiving 4.5k citations

Jun Guan's Hit Papers

Cholesterol, high-density lipoprotein, and glucose index versus triglyceride–glucose index in predicting cardiovascular disease risk: a cohort study 2025 · 35 citations
350+5+11Years since publication100200300400500

Peers

Jun Guan
Comparison fields: 5 of 158
  • Geriatrics and Gerontology 103
  • Pulmonary and Respiratory Medicine 575
  • Sensory Systems 90
  • Physiology 424
  • Cancer Research 198
Replace Yvo M. Smulders with:
Yvo M. Smulders Netherlands
Kazumasa Yamagishi Japan
Jane L. Meza United States
Scott W. Keith United States
Yi‐Hsin Yang Taiwan
Jerzy Chudek Poland
Sheraz R. Markar United Kingdom
Toby Richards United Kingdom
Ichiei Narita Japan
Yoshitaka Murakami Japan
Jun Guan relative to Yvo M. Smulders Netherlands Yvo M. Smulders's profile →
Citations per field
00.5×1.5×2.5×
Yvo M. Smulders · 1×
Citations per year

Countries citing papers authored by Jun Guan

Since Specialization
Citations

This map shows the geographic impact of Jun Guan'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 Jun Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Guan more than expected).

Fields of papers citing papers by Jun Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Guan. 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 Jun Guan. The network helps show where Jun Guan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Guan, 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 Jun Guan Line = papers co-authored together Jun Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifying Individuals with Physcian Diagnosed COPD in Health Administrative Databases
Hit paper breakdown →
2009545
2 2009356
3 2009309
4 2006171
5 2010154
6 2019129
7 2011121
8 2010119
9 2008115
10 2009107
11 201099
12 200692
13 201291
14
Utilization of Physician-Based Mental Health Care Services Among Children and Adolescents Before and During the COVID-19 Pandemic in Ontario, Canada
Hit paper breakdown →
202285
15 200683
16 202083
17 201179
18 200873
19 200868
20 201762

About Jun Guan

Jun Guan is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and General Health Professions, having authored 145 papers that have together received 4.6k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Migration, Health and Trauma (5 papers), Geriatric Care and Nursing Homes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Liver Disease and Transplantation (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Geriatrics and Gerontology (103 citations), Pulmonary and Respiratory Medicine (575 citations), Sensory Systems (90 citations), Physiology (424 citations) and Cancer Research (198 citations). Jun Guan has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Teresa To, Andrea S. Gershon, Jovanka Vasilevska‐Ristovska, Lisa Cicutto, Chengning Wang, Astrid Guttmann, Susan E. Bronskill, J. Charles Victor, Gillian Hawker and Richard H. Glazier. Their work appears in journals such as Canadian Medical Association Journal, Journal of the American Geriatrics Society, JAMA Network Open, PLoS ONE and CMAJ Open.

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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