Jun W. Kim

560 citations
11 papers · 382 · h-index 8

Impact in

    • Cancer Cells and Metastasis
    • Lung Cancer Research Studies
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Lung Cancer Research Studies 4
    • Cytokine Signaling Pathways and Interactions 2
    • RNA and protein synthesis mechanisms 1
    • Cancer therapeutics and mechanisms 1

Jun W. Kim

11 papers receiving 378 citations

Peers

Jun W. Kim
Comparison fields: 5 of 86
  • Oncology 152
  • Cancer Research 43
  • Biomedical Engineering 120
  • Immunology and Allergy 15
  • Cell Biology 41
Replace Jieqiong Liu with:
Jieqiong Liu China
Magdalena Zietarska Canada
Brad Rybinski United States
Tingjiao Liu China
Sabrina Mersch Germany
Camille Jubelin France
Kendelle J. Murphy Australia
Alyssa D. Schwartz United States
Elizabeth A. Loughran United States
Adrián Álvarez-Varela Spain
Jun W. Kim relative to Jieqiong Liu China Jieqiong Liu's profile →
Citations per field
00.5×1.5×2.3×
Jieqiong Liu · 1×
Citations per year

Countries citing papers authored by Jun W. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun W. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201098
2
The role of the 3D environment in hypoxia-induced drug and apoptosis resistance.
201171
3 202054
4 201952
5 201435
6 202230
7 202016
8 20258
9 20217
10 20196
11 20245

About Jun W. Kim

Jun W. Kim is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 382 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Folate and B Vitamins Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Prenatal Substance Exposure Effects (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Oncology (152 citations), Cancer Research (43 citations), Biomedical Engineering (120 citations), Immunology and Allergy (15 citations) and Cell Biology (41 citations). Jun W. Kim has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Won Jin Ho, Benjamin M. Wu, Jennifer R. Cochran, Julien Sage, Edward A. Pham, Daniel T. Kamei, Christopher Ng, Frank V. Cochran, Julie H. Ko and E. Alejandro Sweet‐Cordero. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, iScience, Cell Reports, Nature Medicine and Cell Systems.

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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