Chun‐Seok Cho

2.9k citations
27 papers · 1.9k indexed · 1 hit paper · h-index 17
Topics
PI3K/AKT/mTOR signaling in cancer (7 papers)Single-cell and spatial transcriptomics (5 papers)Redox biology and oxidative stress (4 papers)

In The Last Decade

Chun‐Seok Cho

27 papers receiving 1.9k citations

Hit Papers

Microscopic examination of spatial transcriptome using Se...20212026202220242021100200300

Peers

Chun‐Seok Cho
Comparison fields: 5 of 107
  • Molecular Biology 1.3k
  • Physiology 296
  • Biochemistry 250
  • Immunology 243
  • Epidemiology 233
Replace Elizabeth C. Ledgerwood with:
Elizabeth C. Ledgerwood New Zealand
John Szpyt United States
Mauro Salvi Italy
Vishal M. Gohil United States
Tzu‐Ching Meng Taiwan
Andrew G. Cox United States
Kap‐Seok Yang South Korea
Michael Janes United States
Scott B. Vafai United States
Michael T. Forrester United States
Chun‐Seok Cho relative to Elizabeth C. Ledgerwood New Zealand Elizabeth C. Ledgerwood's profile →
Citations per field
00.5×1.5×2.2×
Elizabeth C. Ledgerwood · 1×
Citations per year

Countries citing papers authored by Chun‐Seok Cho

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Seok Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Seok Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Seok Cho. A scholar is included among the top collaborators of Chun‐Seok Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Seok Cho. Chun‐Seok Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 14
3 8
4 43
5
Microscopic examination of spatial transcriptome using Seq-Scopebreakdown →
305
6 24
7 88
8 31
9 16
10 74
11 94
12 125
13 228
14 105
15 12
16 24
17 324
18 5
19 81
20
Overproduction, Purification, and Characterization of Heat Stable Aldolase from Methanococcus jannaschii, a Hyperthermophic Archaea
7

About Chun‐Seok Cho

Chun‐Seok Cho is a scholar working on Biochemistry, Molecular Biology and Geriatrics and Gerontology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Single-cell and spatial transcriptomics (5 papers) and Redox biology and oxidative stress (4 papers). The work is most often cited by research in Biochemistry (250 citations), Aging (40 citations) and Molecular Biology (1.3k citations). Chun‐Seok Cho has collaborated with scholars based in United States, South Korea and Cyprus. Frequent co-authors include Jun Hee Lee, Sue Goo Rhee, Shiqin Yu, Sunjoo Park, Sang Won Kang, Tong‐Shin Chang, Sim Namkoong, Hyun Min Kang, Myungjin Kim and Jingyue Xi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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