Jaebeom Cho

505 citations
15 papers · 387 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • RNA modifications and cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Metabolism, Diabetes, and Cancer 1
    • Cancer, Hypoxia, and Metabolism 4

Jaebeom Cho

14 papers receiving 385 citations

Peers

Jaebeom Cho
Comparison fields: 5 of 59
  • Immunology 155
  • Oncology 153
  • Cancer Research 74
  • Molecular Biology 172
  • Cell Biology 34
Replace Haley L. Peters with:
Haley L. Peters United States
Zhengfa Mao China
Shao‐Lan Qin China
Zhijiu Zhong United States
Funmilayo O. Adeshakin China
Katsuharu Saito Japan
Waraporn Komyod Germany
Yongsheng Li China
Archana Sehrawat United States
Himavanth R. Gatla United States
Jaebeom Cho relative to Haley L. Peters United States Haley L. Peters's profile →
Citations per field
00.5×1.5×2.1×
Haley L. Peters · 1×
Citations per year

Countries citing papers authored by Jaebeom Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jaebeom Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015135
2 202139
3 201537
4 202028
5 201925
6 202023
7 202022
8 201621
9 202217
10 202215
11 202114
12 20209
13
Taeyoung Submerged-type Membrane Filtration for Advanced Drinking Water Treatment
20131
14 20231
15 20250

About Jaebeom Cho

Jaebeom Cho is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA modifications and cancer (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Immune cells in cancer (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology (155 citations), Oncology (153 citations), Cancer Research (74 citations), Molecular Biology (172 citations) and Cell Biology (34 citations). Jaebeom Cho has collaborated with scholars based in South Korea, United Kingdom and Ethiopia. Frequent co-authors include Ho‐Young Lee, Hye‐Young Min, HJ Lee, Seung Yeob Hyun, Young Kee Shin, Yeonseok Chung, Shin‐Hyung Park, Hye‐Jin Boo, Hyewon Jeon and Chang‐Yuil Kang. Their work appears in journals such as Cancers, Clinical Cancer Research, Nature Medicine, Cancer Research and Biomolecules & Therapeutics.

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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