Joonbae Seo

812 citations
17 papers · 649 · h-index 15

Impact in

  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Muscle Physiology and Disorders
    • RNA and protein synthesis mechanisms

Papers in

    • RNA modifications and cancer 12
    • RNA Research and Splicing 12
    • DNA Repair Mechanisms 1
    • Neurogenetic and Muscular Disorders Research 13
    • BRCA gene mutations in cancer 1

Joonbae Seo

17 papers receiving 646 citations

Peers

Joonbae Seo
Comparison fields: 5 of 68
  • Genetics 386
  • Molecular Biology 517
  • Cancer Research 67
  • Surgery 76
  • Aging 3
Replace Sayaka Hashimoto with:
Sayaka Hashimoto United States
Juliana M. Coelho‐Aguiar Brazil
Jered V. McGivern United States
Xingqiang Lai China
Rocky G. Gogliotti United States
U. R. Monani United States
Fatima Amor France
Yvonne D. Krom Netherlands
Christopher B. Tully United States
Zhiyan Shan China
Joonbae Seo relative to Sayaka Hashimoto United States Sayaka Hashimoto's profile →
Citations per field
00.5×2.8×
Sayaka Hashimoto · 1×
Citations per year

Countries citing papers authored by Joonbae Seo

Since Specialization
Citations

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

Fields of papers citing papers by Joonbae Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201272
2 201071
3 201960
4 201358
5 201453
6 201653
7 201642
8 201639
9 201836
10 201736
11 202132
12 202329
13 201725
14 202019
15 201416
16 20247
17 20241

About Joonbae Seo

Joonbae Seo is a scholar working on Molecular Biology, Genetics, Surgery, Cancer Research and Genetics, having authored 17 papers that have together received 649 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (13 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (12 papers), Congenital Anomalies and Fetal Surgery (3 papers), MicroRNA in disease regulation (3 papers), DNA Repair Mechanisms (1 paper), BRCA gene mutations in cancer (1 paper) and Fuel Cells and Related Materials (1 paper). The work is most often cited by research in Genetics (386 citations), Molecular Biology (517 citations), Cancer Research (67 citations), Surgery (76 citations) and Aging (3 citations). Joonbae Seo has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ravindra Singh, Natalia N. Singh, Eric W. Ottesen, Matthew D. Howell, Diou Luo, Dhruva Bhattacharya, Elizabeth M. Whitley, Senthilkumar Sivanesan, Christine J. DiDonato and Walter H. Hsu. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Frontiers in Neuroscience.

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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