Yeon Suk Jo

442 citations
6 papers · 264 · 1 hit paper · h-index 5

Impact in

Papers in

    • S100 Proteins and Annexins 2
    • Mitochondrial Function and Pathology 2
    • Metabolomics and Mass Spectrometry Studies 1
    • Receptor Mechanisms and Signaling 1
    • Alzheimer's disease research and treatments 2
    • Adipose Tissue and Metabolism 2

Yeon Suk Jo

6 papers receiving 263 citations

Yeon Suk Jo's Hit Papers

Brain lipidomics: From functional landscape to clinical significance 2022 · 185 citations
1850+1+2Years since publication50100150

Peers

Yeon Suk Jo
Comparison fields: 5 of 74
  • Biological Psychiatry 15
  • Neurology 26
  • Physiology 54
  • Developmental Neuroscience 7
  • Molecular Biology 115
Replace Hiromi Onouchi with:
Hiromi Onouchi Japan
Meng Shi China
Guoqing Wang China
Youjiao Chen China
Catarina Chaves France
Thomas Delerue United States
V. А. Babenko Russia
Young‐Eun Cho United States
Itziar de Rojas Spain
Zoya Gertsberg United States
Yeon Suk Jo relative to Hiromi Onouchi Japan Hiromi Onouchi's profile →
Citations per field
00.5×7.5×
Hiromi Onouchi · 1×
Citations per year

Countries citing papers authored by Yeon Suk Jo

Since Specialization
Citations

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

Fields of papers citing papers by Yeon Suk Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeon Suk Jo. 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 Yeon Suk Jo. The network helps show where Yeon Suk Jo may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Brain lipidomics: From functional landscape to clinical significance
Hit paper breakdown →
2022185
2 202343
3 202119
4 20228
5 20245
6 20214

About Yeon Suk Jo

Yeon Suk Jo is a scholar working on Molecular Biology, Physiology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 6 papers that have together received 264 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), S100 Proteins and Annexins (2 papers), Mitochondrial Function and Pathology (2 papers), Adipose Tissue and Metabolism (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Biological Psychiatry (15 citations), Neurology (26 citations), Physiology (54 citations), Developmental Neuroscience (7 citations) and Molecular Biology (115 citations). Yeon Suk Jo has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jong Hyuk Yoon, Youngsuk Seo, Amaury Cazenave‐Gassiot, Seulah Lee, Pann‐Ghill Suh, Hyun Joo An, Eunji Cho, Markus R. Wenk, Myeong Hee Moon and Sukhee Cho. Their work appears in journals such as Life, Aging Cell, Cell Reports, Science Advances and International Journal of Molecular Sciences.

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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