Bae Jun Oh

405 citations
17 papers · 327 · h-index 11

Impact in

    • Mesenchymal stem cell research
    • Diabetes and associated disorders
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

    • Pancreatic function and diabetes 11
    • Angiogenesis and VEGF in Cancer 3
    • Pluripotent Stem Cells Research 3
    • Metabolism, Diabetes, and Cancer 2
    • Congenital heart defects research 2

Bae Jun Oh

17 papers receiving 325 citations

Peers

Bae Jun Oh
Comparison fields: 5 of 64
  • Genetics 49
  • Surgery 159
  • Endocrinology, Diabetes and Metabolism 50
  • Pharmacology 41
  • Biomaterials 26
Replace Ayami Saga with:
Ayami Saga Japan
Bo Dai China
Nicholas D Cober Canada
Kristie Aamodt United States
Shunichiro Nagahata Japan
Michelle A. Guney United States
Sarah E. B. Taylor United States
Nianlan Yang United States
F.P. Lafeber Netherlands
Ibrahim Elmadbouh Egypt
Bae Jun Oh relative to Ayami Saga Japan Ayami Saga's profile →
Citations per field
00.5×3.2×
Ayami Saga · 1×
Citations per year

Countries citing papers authored by Bae Jun Oh

Since Specialization
Citations

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

Fields of papers citing papers by Bae Jun Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201459
2 201858
3 201346
4 201029
5 201124
6 201815
7 202013
8 201212
9 201511
10 201611
11 200910
12 20159
13
Anti-cancer effects of metformin in a 3D co-culture model of pancreatic ductal adenocarcinoma.
20239
14 20247
15 20196
16 20146
17 20132

About Bae Jun Oh

Bae Jun Oh is a scholar working on Surgery, Molecular Biology, Pharmacology, Genetics and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 327 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Angiogenesis and VEGF in Cancer (3 papers), Diabetes and associated disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Cannabis and Cannabinoid Research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Genetics (49 citations), Surgery (159 citations), Endocrinology, Diabetes and Metabolism (50 citations), Pharmacology (41 citations) and Biomaterials (26 citations). Bae Jun Oh has collaborated with scholars based in South Korea, Japan and Russia. Frequent co-authors include Jae Hyeon Kim, Sang‐Man Jin, Sang Gyu Park, Young Ae Joe, Myeongcheol Lee, Kyong Soo Park, Jeong A. Kim, Seung‐Woo Lee, Ji‐Hee Kim and Guisera Lee. Their work appears in journals such as American Journal of Transplantation, Biomaterials, Stem Cells, Cell Transplantation and Biochemical and Biophysical Research Communications.

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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