Yunbae Pak

1.2k citations
49 papers · 1.0k · h-index 21

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 13
    • RNA Research and Splicing 8
    • Nuclear Structure and Function 4
    • Ion Transport and Channel Regulation 4
    • Signaling Pathways in Disease 3
    • Caveolin-1 and cellular processes 21

Yunbae Pak

49 papers receiving 1.0k citations

Peers

Yunbae Pak
Comparison fields: 5 of 86
  • Cell Biology 330
  • Parasitology 58
  • Molecular Biology 545
  • Cancer Research 100
  • Oncology 167
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Citations per field
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Citations per year

Countries citing papers authored by Yunbae Pak

Since Specialization
Citations

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

Fields of papers citing papers by Yunbae Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007134
2 199281
3 199357
4 199341
5 201940
6 200939
7 201537
8
In vivo chiro-inositol metabolism in the rat: a defect in chiro-inositol synthesis from myo-inositol and an increased incorporation of chiro-[3H]inositol into phospholipid in the Goto-Kakizaki (G.K) rat.
199833
9 199832
10 201431
11 200530
12 201528
13 199228
14 200527
15 201127
16 200926
17 200825
18 201024
19 201321
20 202221

About Yunbae Pak

Yunbae Pak is a scholar working on Molecular Biology, Cell Biology, Surgery, Plant Science and Oncology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (21 papers), Metabolism, Diabetes, and Cancer (13 papers), RNA Research and Splicing (8 papers), Nuclear Structure and Function (4 papers), Pancreatic function and diabetes (4 papers), Ion Transport and Channel Regulation (4 papers), Signaling Pathways in Disease (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cell Biology (330 citations), Parasitology (58 citations), Molecular Biology (545 citations), Cancer Research (100 citations) and Oncology (167 citations). Yunbae Pak has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Hayeong Kwon, Kyuho Jeong, Jae Woong Lee, Laura C. Huang, Joseph Larner, Moonjeong Choi, Yonggeun Hong, Jennifer D. Black, Kenneth K. Iwata and Jihnhee Yu. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Cellular and Molecular Medicine and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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