Justine Chan

465 citations
30 papers · 285 · h-index 10

Impact in

Papers in

Justine Chan

26 papers receiving 279 citations

Peers

Justine Chan
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 102
  • Applied Microbiology and Biotechnology 4
  • Ophthalmology 15
  • Internal Medicine 5
  • Radiology, Nuclear Medicine and Imaging 31
Replace Emrah İpek with:
Emrah İpek Türkiye
Narayana Sarma V. Singam United States
Ghanshyam Palamaner Subash Shantha United States
Christos Georgakopoulos Greece
Fredrik Toss Sweden
James McMeekin Canada
Sharon Wilmoth United States
Qing-Yun Hao China
Xiaojin Gao China
Ömer Şatıroğlu Türkiye
Justine Chan relative to Emrah İpek Türkiye Emrah İpek's profile →
Citations per field
00.5×6.5×
Emrah İpek · 1×
Citations per year

Countries citing papers authored by Justine Chan

Since Specialization
Citations

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

Fields of papers citing papers by Justine Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 202335
3 201535
4 201920
5 202120
6 202118
7 202112
8 202111
9 202211
10 20209
11 20229
12 20228
13 20157
14 20217
15 20205
16 20225
17 20225
18 20224
19 20224
20 20203

About Justine Chan

Justine Chan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery and Organic Chemistry, having authored 30 papers that have together received 285 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Disease and Adiposity (5 papers), Retinal Imaging and Analysis (4 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers), Extracellular vesicles in disease (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (102 citations), Applied Microbiology and Biotechnology (4 citations), Ophthalmology (15 citations), Internal Medicine (5 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Justine Chan has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Markus P. Schlaich, Janis M. Nolde, Revathy Carnagarin, Leslie Marisol Lugo‐Gavidia, Márcio Galindo Kiuchi, Omar Azzam, Enza Gucciardi, Anu Joyson, Jacqui Gingras and Margaret DeMelo. Their work appears in journals such as Journal of Hypertension, Journal of Clinical Hypertension, Hypertension, International Journal of Molecular Sciences and Canadian Journal of Emergency Medicine.

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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