Moo Jun Baek

1.7k citations
87 papers · 1.3k · h-index 20

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Treatments and Studies 7
    • Colorectal Cancer Surgical Treatments 6
    • Cancer-related Molecular Pathways 5
    • Cancer Cells and Metastasis 4
    • Angiogenesis and VEGF in Cancer 6

Moo Jun Baek

82 papers receiving 1.3k citations

Peers

Moo Jun Baek
Comparison fields: 5 of 97
  • Oncology 409
  • Cancer Research 184
  • Hepatology 65
  • Immunology 153
  • Molecular Biology 497
Replace Dongjun Jeong with:
Dongjun Jeong South Korea
Masamichi Mizuma Japan
Krzysztof Moroz United States
Yoshifumi Iwagami Japan
Guanglong Dong China
Dapeng Li China
Naoko Chayahara Japan
Haiping Jiang China
Monica Marra Italy
Moo Jun Baek relative to Dongjun Jeong South Korea Dongjun Jeong's profile →
Citations per field
00.5×1.5×
Dongjun Jeong · 1×
Citations per year

Countries citing papers authored by Moo Jun Baek

Since Specialization
Citations

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

Fields of papers citing papers by Moo Jun Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016172
2 2015172
3 201894
4 201793
5 201555
6 200649
7 201439
8 201536
9 201936
10 201635
11 201829
12 201828
13 200724
14 200424
15 201823
16 201722
17 201720
18 202120
19 201719
20 201419

About Moo Jun Baek

Moo Jun Baek is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Colorectal Cancer Surgical Treatments (6 papers), Cancer-related Molecular Pathways (5 papers), Cell Adhesion Molecules Research (5 papers), Genetic factors in colorectal cancer (5 papers), Cancer Cells and Metastasis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Oncology (409 citations), Cancer Research (184 citations), Hepatology (65 citations), Immunology (153 citations) and Molecular Biology (497 citations). Moo Jun Baek has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Dongjun Jeong, Sang Hun Lee, Yong‐Seok Han, Tae Sung Ahn, Moon Soo Lee, Hae Il Jung, Sang Ho Bae, Hyung Chul Kım, Hyungjoo Kim and Hyog Young Kwon. Their work appears in journals such as International Journal of Molecular Sciences, Oncology Reports, European Journal of Medicinal Chemistry, Cancer Research and Journal of Cancer Research and Clinical Oncology.

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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