Junsuk Ko

18 papers receiving 654 citations

Hit Papers

Hypoxia signaling in human diseases and therapeutic targets 2019 · 284 citations
2840+2+4Years since publication50100150200250

Peers

Junsuk Ko
Comparison fields: 5 of 93
  • Cancer Research 137
  • Physiology 32
  • Cardiology and Cardiovascular Medicine 105
  • Molecular Biology 269
  • Endocrinology, Diabetes and Metabolism 63
Replace Gabriella Doronzo with:
Gabriella Doronzo Italy
Johanna M. U. Silvola Finland
Marcy Martin United States
Eva Tarantino Italy
Kensuke Sasaki Japan
Vien Le United States
Xuemin He China
Sung Kwang Park South Korea
Hui Yan China
Fabiola A. Sánchez United States
Junsuk Ko relative to Gabriella Doronzo Italy Gabriella Doronzo's profile →
Citations per field
00.5×
Gabriella Doronzo · 1×
Citations per year

Countries citing papers authored by Junsuk Ko

Since Specialization
Citations

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

Fields of papers citing papers by Junsuk Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Hypoxia signaling in human diseases and therapeutic targets
Hit paper breakdown →
2019284
2 201558
3 202158
4 202042
5 202329
6 202228
7 201828
8 202127
9 201926
10 201816
11 202114
12 201914
13 201812
14 20228
15 20207
16 20207
17 20222
18 20231

About Junsuk Ko

Junsuk Ko is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 18 papers that have together received 661 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Acute Myocardial Infarction Research (4 papers), Dermatologic Treatments and Research (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Heart Failure Treatment and Management (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Adenosine and Purinergic Signaling (2 papers) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (137 citations), Physiology (32 citations), Cardiology and Cardiovascular Medicine (105 citations), Molecular Biology (269 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Junsuk Ko has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Holger K. Eltzschig, Cynthia Ju, Jae W. Lee, Qing Lü, Sharon Rounds, Julie Newton, Michael R. Blackburn, Mark Y. Chan, Huili Zheng and Derek J. Hausenloy. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, American Journal of Respiratory Cell and Molecular Biology, Frontiers in Cardiovascular Medicine and Arthritis & Rheumatology.

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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