Sam Chun

1.4k citations
9 papers · 1.2k · h-index 7

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Glycosylation and Glycoproteins Research 2
    • Atherosclerosis and Cardiovascular Diseases 3

Sam Chun

9 papers receiving 1.2k citations

Peers

Sam Chun
Comparison fields: 5 of 87
  • Immunology and Allergy 117
  • Cell Biology 232
  • Immunology 286
  • Cancer Research 173
  • Endocrinology, Diabetes and Metabolism 167
Replace John C. Kermode with:
John C. Kermode United States
Gabriele Plenz Germany
Mohiuddin M. Taher Saudi Arabia
Hao Ly Canada
Lunyin Yu United States
Vannessa Davis United States
Kyungho Kim South Korea
Tom Björnheden Sweden
Mysore P. Ramprasad United States
Iraide Alloza Spain
Sam Chun relative to John C. Kermode United States John C. Kermode's profile →
Citations per field
00.5×3.3×
John C. Kermode · 1×
Citations per year

Countries citing papers authored by Sam Chun

Since Specialization
Citations

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

Fields of papers citing papers by Sam Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1999298
2 2001259
3 2001246
4 2000177
5 200198
6 199995
7 200040
8 19945
9 19981

About Sam Chun

Sam Chun is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Cell Biology and Biotechnology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Research and Treatments (2 papers), Cell Adhesion Molecules Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Immunology and Allergy (117 citations), Cell Biology (232 citations), Immunology (286 citations), Cancer Research (173 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Sam Chun has collaborated with scholars based in United States. Frequent co-authors include Ellen Puré, Daniel J. Rader, Kazuhisa Tsukamoto, Rajendra K. Tangirala, David Usher, Anthony Secreto, Christine Y. Yeh, Carolyn A. Cuff, Richard K. Assoian and Yuanming Zhang. Their work appears in journals such as Journal of Clinical Investigation, Circulation, Journal of Immunotherapy, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Biological Chemistry.

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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