Young‐Bum Son

461 citations
41 papers · 297 · h-index 12

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Periodontal Regeneration and Treatments

Papers in

    • Mesenchymal stem cell research 19
    • Animal Genetics and Reproduction 2
    • Pluripotent Stem Cells Research 9

Young‐Bum Son

31 papers receiving 292 citations

Peers

Young‐Bum Son
Comparison fields: 5 of 63
  • Genetics 103
  • Urology 25
  • Surgery 82
  • Molecular Biology 118
  • Public Health, Environmental and Occupational Health 43
Replace Abbas Parham with:
Abbas Parham Iran
Chan-Lan Kim South Korea
Aline Fernanda de Souza Brazil
Sriti Pandey India
Shilei Guo China
Simone Aparecida Siqueira Fonseca Brazil
Massimo Bucco Italy
Yuzhen Ma China
Poh‐Ching Tan China
Zenglu Xu China
Young‐Bum Son relative to Abbas Parham Iran Abbas Parham's profile →
Citations per field
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Abbas Parham · 1×
Citations per year

Countries citing papers authored by Young‐Bum Son

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Bum Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Bum Son. 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 Young‐Bum Son. The network helps show where Young‐Bum Son may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201831
2 202130
3 201926
4 201920
5 201919
6 201918
7 202117
8 201717
9 201814
10 201714
11 202113
12 202111
13 20219
14 20199
15 20197
16 20196
17 20186
18 20216
19 20215
20 20224

About Young‐Bum Son

Young‐Bum Son is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Surgery and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 297 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (19 papers), Reproductive Biology and Fertility (14 papers), Pluripotent Stem Cells Research (9 papers), Tissue Engineering and Regenerative Medicine (6 papers), Sperm and Testicular Function (4 papers), Prenatal Screening and Diagnostics (3 papers), Pancreatic function and diabetes (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Genetics (103 citations), Urology (25 citations), Surgery (82 citations), Molecular Biology (118 citations) and Public Health, Environmental and Occupational Health (43 citations). Young‐Bum Son has collaborated with scholars based in South Korea, China and Russia. Frequent co-authors include Gyu‐Jin Rho, Dinesh Bharti, Sung‐Lim Lee, Bong-Wook Park, Young‐Hoon Kang, Hyeon‐Jeong Lee, Sharath Belame Shivakumar, Si‐Jung Jang, June‐Ho Byun and Woo Suk Hwang. Their work appears in journals such as Animals, BioMed Research International, International Journal of Medical Sciences, Scientific Reports and Animal Bioscience.

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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