Steve K. Cho

2.7k citations
36 papers · 1.2k · h-index 19

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

    • Protein Degradation and Inhibitors 2
    • Chemical Synthesis and Analysis 2
    • Cancer-related Molecular Pathways 2

Steve K. Cho

35 papers receiving 1.2k citations

Peers

Steve K. Cho
Comparison fields: 5 of 95
  • Oncology 367
  • Physiology 237
  • Pathology and Forensic Medicine 159
  • Cancer Research 128
  • Molecular Biology 542
Replace Mohamed Amessou with:
Mohamed Amessou France
Joan Chang United Kingdom
Zee-Fen Chang Taiwan
Donald G. Munroe United States
Ciro Mercurio Italy
Valeriy Filonenko Ukraine
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James Hulit United States
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Steve K. Cho relative to Mohamed Amessou France Mohamed Amessou's profile →
Citations per field
00.5×1.5×1.9×
Mohamed Amessou · 1×
Citations per year

Countries citing papers authored by Steve K. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Steve K. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve K. 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 Steve K. Cho. The network helps show where Steve K. Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 1996150
3 2010113
4 201175
5 201863
6 201258
7 199954
8 200245
9 199544
10 199744
11 201837
12 199735
13 200234
14 201934
15 201825
16 202024
17 199724
18 201621
19 199918
20 199517

About Steve K. Cho

Steve K. Cho is a scholar working on Molecular Biology, Oncology, Cell Biology, Physiology and Immunology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Lysosomal Storage Disorders Research (3 papers), Cellular transport and secretion (3 papers), Protein Degradation and Inhibitors (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Chemical Synthesis and Analysis (2 papers), Cancer-related Molecular Pathways (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Oncology (367 citations), Physiology (237 citations), Pathology and Forensic Medicine (159 citations), Cancer Research (128 citations) and Molecular Biology (542 citations). Steve K. Cho has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Robert Bachoo, Sven de Vos, Seisho Takeuchi, Sandra L. Hofmann, Bruce Mickey, Hiroya Asou, Kimmo J. Hatanpaa, Elizabeth A. Maher, H. Phillip Koeffler and Sung‐Gyoo Park. Their work appears in journals such as The Prostate, Biochemical and Biophysical Research Communications, Clinical Cancer Research, Molecules and Cells and British Journal of Haematology.

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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