Youngran Ji

815 citations
6 papers · 635 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

    • Advanced Biosensing Techniques and Applications 2
    • Gene expression and cancer classification 2
    • Molecular Biology Techniques and Applications 1
    • Glycosylation and Glycoproteins Research 1
    • Cancer Cells and Metastasis 3

Youngran Ji

6 papers receiving 627 citations

Peers

Youngran Ji
Comparison fields: 5 of 74
  • Cancer Research 187
  • Oncology 207
  • Molecular Biology 434
  • Spectroscopy 78
  • Biochemistry 21
Replace Damien J. Dunnington with:
Damien J. Dunnington United States
Harold J. Brenner Israel
Sinclair R. Dundas United Kingdom
Kevin Hudson United Kingdom
Ruth Ruddle United Kingdom
Ana Igea Spain
Carmen A. Bañuelos Canada
Verena Paulitschke Austria
Zhixiang Wu China
Youngran Ji relative to Damien J. Dunnington United States Damien J. Dunnington's profile →
Citations per field
00.5×10×20×30×36×
Damien J. Dunnington · 1×
Citations per year

Countries citing papers authored by Youngran Ji

Since Specialization
Citations

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

Fields of papers citing papers by Youngran Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown

About Youngran Ji

Youngran Ji is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Physiology, having authored 6 papers that have together received 635 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Gene expression and cancer classification (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Biotin and Related Studies (1 paper), Breast Cancer Treatment Studies (1 paper), Molecular Biology Techniques and Applications (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (187 citations), Oncology (207 citations), Molecular Biology (434 citations), Spectroscopy (78 citations) and Biochemistry (21 citations). Youngran Ji has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include Stefanie S. Jeffrey, Jahn M. Nesland, I. K. Bukholm, Rolf Kåresen, Rob Tibshirani, David Botstein, Anne‐Lise Børresen‐Dale, Kent W. Nowels, Anita Langerød and Hongjuan Zhao. Their work appears in journals such as Nature Methods, Molecular Biology of the Cell, Molecular Immunology, Oncogene and BMC Genomics.

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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