Jiwon Song

19 papers receiving 883 citations

Jiwon Song's Hit Papers

Acquisition of Dynamic Function in Human Stem Cell-Derived β Cells 2019 · 285 citations
2850+2+4Years since publication50100150200250

Peers

Jiwon Song
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 170
  • Surgery 368
  • Genetics 172
  • Molecular Biology 320
  • Biochemistry 24
Replace Atsushi Yamamoto with:
Atsushi Yamamoto Japan
Shirou Matsumoto Japan
Luciene Cristina Gastalho Campos Brazil
Toru Yoshimura Japan
Shigeto Seno Japan
Yoshiyuki Sawai Japan
Chrishan J. A. Ramachandra Singapore
Christian X. Andersson Sweden
Junwei Liu China
Vivek Singh United States
Jiwon Song relative to Atsushi Yamamoto Japan Atsushi Yamamoto's profile →
Citations per field
00.5×5.4×
Atsushi Yamamoto · 1×
Citations per year

Countries citing papers authored by Jiwon Song

Since Specialization
Citations

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

Fields of papers citing papers by Jiwon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Acquisition of Dynamic Function in Human Stem Cell-Derived β Cells
Hit paper breakdown →
2019285
2 2020168
3 2007115
4 201669
5 202067
6 201940
7 201737
8 201732
9 200729
10 202015
11 201310
12 20185
13 20115
14 20124
15 20124
16 20153
17
Impacts of dietary nitrate on endothelial function, arterial stiffness, and systemic vascular pressure in peripheral arterial disease
20191
18 20231
19 20121
20 20180

About Jiwon Song

Jiwon Song is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pharmacology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 20 papers that have together received 891 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Medical and Biological Ozone Research (2 papers) and NMR spectroscopy and applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Surgery (368 citations), Genetics (172 citations), Molecular Biology (320 citations) and Biochemistry (24 citations). Jiwon Song has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Jeffrey R. Millman, Leonardo Velazco-Cruz, Punn Augsornworawat, Kristina G. Maxwell, Nathaniel J. Hogrebe, Madeleine M. Goedegebuure, Og‐Sung Moon, Hwa–Young Son, Young‐Suk Won and Hee-Seon Park. Their work appears in journals such as International Immunopharmacology, Statistics in Medicine, Acta Biomaterialia, American Journal of Physiology-Heart and Circulatory Physiology and Toxicology and Applied Pharmacology.

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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