Goang‐Won Cho

608 citations
21 papers · 513 · h-index 15

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 8
    • Epigenetics and DNA Methylation 3
    • Cancer-related gene regulation 2
    • Mesenchymal stem cell research 4

Goang‐Won Cho

21 papers receiving 508 citations

Peers

Goang‐Won Cho
Comparison fields: 5 of 74
  • Geriatrics and Gerontology 57
  • Genetics 143
  • Aging 19
  • Developmental Neuroscience 30
  • Sensory Systems 22
Replace Qini Gan with:
Qini Gan United States
Aijun Zhang China
Heather L. Montie United States
Qu Xing China
André Bento‐Abreu Belgium
Corinne Mbebi France
Ali Lourhmati Germany
Mireia Herrando‐Grabulosa Spain
Jan Kröber Germany
Marin Guentchev Austria
Goang‐Won Cho relative to Qini Gan United States Qini Gan's profile →
Citations per field
00.5×4.3×
Qini Gan · 1×
Citations per year

Countries citing papers authored by Goang‐Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Goang‐Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goang‐Won Cho. 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 Goang‐Won Cho. The network helps show where Goang‐Won Cho may publish in the future.

Co-authors

The 23 scholars most cited alongside Goang‐Won Cho, 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 Goang‐Won Cho Line = papers co-authored together Goang‐Won Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201450
3 201545
4 201345
5 201938
6 201834
7 201729
8 201929
9 201626
10 201524
11 201924
12 200021
13 201417
14 201217
15 201314
16 201412
17 201610
18 20178
19 20167
20 20152

About Goang‐Won Cho

Goang‐Won Cho is a scholar working on Molecular Biology, Genetics, Physiology, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 513 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (8 papers), Sirtuins and Resveratrol in Medicine (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Mesenchymal stem cell research (4 papers), Epigenetics and DNA Methylation (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer-related gene regulation (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Geriatrics and Gerontology (57 citations), Genetics (143 citations), Aging (19 citations), Developmental Neuroscience (30 citations) and Sensory Systems (22 citations). Goang‐Won Cho has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sin‐Gu Jeong, Seung Hyun Kim, Takbum Ohn, Chul Ho Jang, Changjong Moon, Sueun Lee, Kyung‐Suk Kim, Myung‐Hee Kim, Louis B. Hersh and Michelle Gilmor. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Biochemistry and Function, Biotechnology and Applied Biochemistry, Drug and Chemical Toxicology and Journal of Tissue Engineering and Regenerative Medicine.

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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