Young Cha

1.8k citations
25 papers · 799 · h-index 16

Impact in

Papers in

    • Pluripotent Stem Cells Research 14
    • CRISPR and Genetic Engineering 9
    • Renal and related cancers 3
    • RNA Interference and Gene Delivery 2
    • Developmental Biology and Gene Regulation 2
    • Nuclear Receptors and Signaling 2

Young Cha

24 papers receiving 792 citations

Peers

Young Cha
Comparison fields: 5 of 89
  • Geriatrics and Gerontology 64
  • Developmental Neuroscience 32
  • Cancer Research 109
  • Molecular Biology 439
  • Cellular and Molecular Neuroscience 114
Replace Brunella Cristofaro with:
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Young Cha relative to Brunella Cristofaro United States Brunella Cristofaro's profile →
Citations per field
00.5×4.8×
Brunella Cristofaro · 1×
Citations per year

Countries citing papers authored by Young Cha

Since Specialization
Citations

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

Fields of papers citing papers by Young Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017138
2 201897
3 202384
4 201379
5 202151
6
Estrogen receptor-alpha mediates the effects of estradiol on telomerase activity in human mesenchymal stem cells.
200839
7 201336
8 200832
9 202329
10 202329
11 201329
12 201228
13 201028
14 201020
15 201217
16 202216
17 200613
18 202412
19 201310
20 20145

About Young Cha

Young Cha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Cancer Research, having authored 25 papers that have together received 799 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (9 papers), Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), RNA Interference and Gene Delivery (2 papers), Nuclear Receptors and Signaling (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (64 citations), Developmental Neuroscience (32 citations), Cancer Research (109 citations), Molecular Biology (439 citations) and Cellular and Molecular Neuroscience (114 citations). Young Cha has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kyung‐Soon Park, Kwang‐Soo Kim, Pierre Leblanc, Dae‐Kwan Kim, Jin Hyuk Jung, Wongi Seol, Yongwoo Jang, Tae Yoon Park, Jeha Jeon and Jihwan Song. Their work appears in journals such as Stem Cells and Development, Stem Cells, Nature Communications, Cell Research and Gene Expression.

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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