Jun Chung

2.8k citations
35 papers · 2.4k · h-index 24

Impact in

Papers in

    • Cell Adhesion Molecules Research 21
    • Extracellular vesicles in disease 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Angiogenesis and VEGF in Cancer 2
    • Receptor Mechanisms and Signaling 1

Jun Chung

35 papers receiving 2.4k citations

Peers

Jun Chung
Comparison fields: 5 of 89
  • Immunology and Allergy 489
  • Molecular Biology 1.1k
  • Cancer Research 192
  • Molecular Medicine 75
  • Immunology 169
Replace Stephan Niland with:
Stephan Niland Germany
Nicole Gerwin Germany
Xiao Lei Chen United States
Fawzi Aoudjit Canada
Michael Streit United States
C. Michael DiPersio United States
Frances B. Cannon United States
Enrica Balza Italy
R R Vines United States
Leticia Oliveira‐Ferrer Germany
Jun Chung relative to Stephan Niland Germany Stephan Niland's profile →
Citations per field
00.5×1.5×2×2.5×
Stephan Niland · 1×
Citations per year

Countries citing papers authored by Jun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vascular endothelial growth factor is an autocrine survival factor for neuropilin-expressing breast carcinoma cells.
2001392
2 2017314
3 1997178
4 2002175
5 1999156
6 1999147
7 2008138
8 201679
9 201078
10 200464
11 200864
12 200161
13 201450
14 200449
15 201547
16 200944
17
Contributions of the alpha6 integrins to breast carcinoma survival and progression.
200441
18 200437
19 201134
20 201531

About Jun Chung

Jun Chung is a scholar working on Immunology and Allergy, Molecular Biology, Cancer Research, Molecular Medicine and Oncology, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Extracellular vesicles in disease (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Curcumin's Biomedical Applications (2 papers), MicroRNA in disease regulation (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Receptor Mechanisms and Signaling (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Immunology and Allergy (489 citations), Molecular Biology (1.1k citations), Cancer Research (192 citations), Molecular Medicine (75 citations) and Immunology (169 citations). Jun Chung has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Young Hwa Soung, Arthur M. Mercurio, Robin E. Bachelder, William A. Frazier, Shane K. Ford, Ai-Guo Gao, Vincent Zhang, Aimee Marie Crago, Gregory S. Robinson and Shile Huang. Their work appears in journals such as Journal of Biological Chemistry, Cancers, Oncotarget, Molecular Cancer Research and BMB Reports.

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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