Carmen Chan

463 citations
13 papers · 356 · h-index 9

Impact in

    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Antimicrobial Peptides and Activities

Papers in

Carmen Chan

13 papers receiving 350 citations

Peers

Carmen Chan
Comparison fields: 5 of 68
  • Immunology 110
  • Microbiology 29
  • Hepatology 27
  • Oncology 68
  • Radiology, Nuclear Medicine and Imaging 47
Replace Nianfeng Sun with:
Nianfeng Sun China
Chan Hee Park South Korea
Kimberly A. Selting United States
Anna Mrowiec Spain
Αθανάσιος Αθανασόπουλος Germany
Nicholas R. Mayne United States
Stelvio Tonello Italy
Giacomo Diaceri Switzerland
Masato KUWABARA Japan
Carmen Chan relative to Nianfeng Sun China Nianfeng Sun's profile →
Citations per field
00.5×6.7×
Nianfeng Sun · 1×
Citations per year

Countries citing papers authored by Carmen Chan

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013148
2 200846
3 200545
4 201036
5 201223
6 201014
7 201714
8
The CEPHEUS Pan-Asian survey: high low-density lipoprotein cholesterol goal attainment rate among hypercholesterolaemic patients undergoing lipid-lowering treatment in a Hong Kong regional centre.
20129
9 20188
10
Isolated left ventricular non-compaction: an unusual indication for heart transplantation.
20096
11 20104
12 20192
13 20101

About Carmen Chan

Carmen Chan is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (3 papers), Cardiac Imaging and Diagnostics (3 papers), Coronary Interventions and Diagnostics (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Obstructive Sleep Apnea Research (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Immunology (110 citations), Microbiology (29 citations), Hepatology (27 citations), Oncology (68 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Carmen Chan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lori L. Burrows, Charles M. Deber, Chi Ma, Stephen M. Hewitt, Jaba Gamrekelashvili, Dean W. Felsher, Michael P. Manns, Tamar Kapanadze, Lars Zender and Fei Zhao. Their work appears in journals such as International journal of cardiac imaging, Journal of Hepatology, Biomedical Materials, Circulation Journal and Journal of Clinical Sleep 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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