Ran‐Ju Kim

640 citations
11 papers · 534 · h-index 10

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Cells and Metastasis 9
    • Cancer-related Molecular Pathways 2
    • Wnt/β-catenin signaling in development and cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • TGF-β signaling in diseases 1
    • FOXO transcription factor regulation 1

Ran‐Ju Kim

11 papers receiving 527 citations

Peers

Ran‐Ju Kim
Comparison fields: 5 of 67
  • Oncology 293
  • Cancer Research 159
  • Molecular Biology 368
  • Biotechnology 21
  • Cell Biology 37
Replace Erika López‐Arribillaga with:
Erika López‐Arribillaga Spain
Tamer Yağcı Türkiye
Lianne Gibson Canada
Kepa Elorriaga Spain
Han-Sui Hsu Taiwan
Deepika Kassen United Kingdom
Wijnand Roessingh Netherlands
Gunda Schwaninger Austria
Ana Sastre-Perona Spain
Karen Rother Germany
Ran‐Ju Kim relative to Erika López‐Arribillaga Spain Erika López‐Arribillaga's profile →
Citations per field
00.5×1.5×
Erika López‐Arribillaga · 1×
Citations per year

Countries citing papers authored by Ran‐Ju Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ran‐Ju Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ran‐Ju 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 Ran‐Ju Kim. The network helps show where Ran‐Ju Kim may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2015145
2 2011128
3 201277
4 201230
5 200930
6 201429
7 201126
8 201225
9 201025
10 201418
11 19941

About Ran‐Ju Kim

Ran‐Ju Kim is a scholar working on Oncology, Molecular Biology, Genetics, Psychiatry and Mental health and Pathology and Forensic Medicine, having authored 11 papers that have together received 534 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Cancer-related Molecular Pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), TGF-β signaling in diseases (1 paper), FOXO transcription factor regulation (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (293 citations), Cancer Research (159 citations), Molecular Biology (368 citations), Biotechnology (21 citations) and Cell Biology (37 citations). Ran‐Ju Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Jeong‐Seok Nam, Soo‐Rim Kim, Eun Sook Lee, Hwa‐Yong Lee, Gyu-Beom Jang, In‐Sun Hong, Gu Kong, Kyung‐Sun Kang, Yoo‐Kyung Lee and Sei Hyun Ahn. Their work appears in journals such as Cancer Letters, Cancer Research, Molecules and Cells, Journal of Hepatology and Cancer Science.

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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