Youngran Cho

532 citations
14 papers · 275 · h-index 7

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Genomics and Phylogenetic Studies
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA and protein synthesis mechanisms
    • Photosynthetic Processes and Mechanisms

Papers in

Youngran Cho

12 papers receiving 267 citations

Peers

Youngran Cho
Comparison fields: 5 of 63
  • Molecular Biology 173
  • Hepatology 12
  • Reproductive Medicine 12
  • Cancer Research 18
  • Genetics 13
Replace Nai-Yun Hsu with:
Nai-Yun Hsu United States
Christelle Morris France
Frédéric Pileur France
Hitoshi Mikami Japan
Scott E. Diamond United States
Hui Wen China
Yixi Zhang China
Mayumi Nakano United States
Edith Browaeys‐Poly France
R. Curtis United Kingdom
Youngran Cho relative to Nai-Yun Hsu United States Nai-Yun Hsu's profile →
Citations per field
00.5×2×3×4×
Nai-Yun Hsu · 1×
Citations per year

Countries citing papers authored by Youngran Cho

Since Specialization
Citations

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

Fields of papers citing papers by Youngran Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199892
2 199965
3 200838
4 201720
5 201617
6 200813
7 20199
8 20187
9 20087
10 20253
11 20042
12 20251
13 20251
14 20250

About Youngran Cho

Youngran Cho is a scholar working on Virology, Immunology, Molecular Biology, Epidemiology and Hepatology, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Herpesvirus Infections and Treatments (2 papers), CRISPR and Genetic Engineering (1 paper), Genomics and Phylogenetic Studies (1 paper), Viral Infections and Vectors (1 paper), Plant Virus Research Studies (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (173 citations), Hepatology (12 citations), Reproductive Medicine (12 citations), Cancer Research (18 citations) and Genetics (13 citations). Youngran Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jeffrey D. Palmer, Kenta Magoori, Qinghong Liu, Akira Nakano, Man‐Jong Kang, Do‐Hoon Kim, Yoshinori Inagaki, Hironobu Sasano, Ryoichi X. Ioka and Takahiro Fujino. Their work appears in journals such as Scientific Reports, Molecular Biology and Evolution, Human Vaccines & Immunotherapeutics, FEBS Journal and npj Vaccines.

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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