Jiwon Song

18 papers receiving 854 citations

Hit Papers

Acquisition of Dynamic Function in Human Stem Cell-Derived β Cells 2019 · 277 citations
277201920262021202350100150200250

Peers

Jiwon Song
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 195
  • Surgery 372
  • Genetics 182
  • Molecular Biology 346
  • Biochemistry 25
Replace Atsushi Yamamoto with:
Atsushi Yamamoto Japan
Shirou Matsumoto Japan
Masashi Honma Japan
Christian X. Andersson Sweden
Qinglong Li China
Chrishan J. A. Ramachandra Singapore
Alberto Zambrano Spain
Xian Jin China
Yuting Tang 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 20230
2 202014
3 202067
4 2020156
5
Acquisition of Dynamic Function in Human Stem Cell-Derived β Cells
Hit paper breakdown →
2019277
6 201938
7
Impacts of dietary nitrate on endothelial function, arterial stiffness, and systemic vascular pressure in peripheral arterial disease
20191
8 20180
9 20184
10 201731
11 201736
12 201668
13 20153
14 201310
15 20124
16 20121
17 20124
18 20115
19 2007114
20 200729

About Jiwon Song

Jiwon Song is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Pharmacology, Urology and Nuclear and High Energy Physics, having authored 20 papers that have together received 862 indexed citations. Recurring topics across this work include Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), NMR spectroscopy and applications (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Surgery (372 citations), Genetics (182 citations), Molecular Biology (346 citations) and Biochemistry (25 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, Nathaniel J. Hogrebe, Kristina G. Maxwell, Madeleine M. Goedegebuure, Hwa–Young Son, Young‐Suk Won, Joseph J. H. Ackerman and Christopher D. Kroenke. Their work appears in journals such as Autophagy, Magnetic Resonance in Medicine, NMR in Biomedicine, International Immunopharmacology 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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