Soon H Song

1.5k citations
36 papers · 830 indexed · h-index 16
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Diabetes Management and Research (10 papers)Diabetes Treatment and Management (10 papers)

In The Last Decade

Soon H Song

34 papers receiving 795 citations

Peers

Soon H Song
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 513
  • Surgery 296
  • Genetics 174
  • Molecular Biology 170
  • Epidemiology 103
Replace Nino Cristiano Chilelli with:
Nino Cristiano Chilelli Italy
Esther G. Gerrits Netherlands
Elisa Lazzaroni Italy
Kohei Okita Japan
W. Y. Fujimoto United States
Horng‐Yih Ou Taiwan
Stephen E. Dippe United States
Ning Yang China
Liana K. Billings United States
Yifei Mo China
Soon H Song relative to Nino Cristiano Chilelli Italy Nino Cristiano Chilelli's profile →
Citations per field
00.5×3.2×
Nino Cristiano Chilelli · 1×
Citations per year

Countries citing papers authored by Soon H Song

Since Specialization
Citations

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

Fields of papers citing papers by Soon H Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soon H Song

This figure shows the co-authorship network connecting the top 25 collaborators of Soon H Song. A scholar is included among the top collaborators of Soon H Song 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 Soon H Song. Soon H Song 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 7
2 3
3 1
4 15
5 1
6 6
7 26
8 34
9 8
10 20
11 30
12 34
13 30
14 116
15 19
16 40
17 51
18 44
19 7
20 4

About Soon H Song

Soon H Song is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics and Obstetrics and Gynecology, having authored 36 papers that have together received 830 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Diabetes Management and Research (10 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (513 citations), Surgery (296 citations) and Ophthalmology (58 citations). Soon H Song has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include C. A. Hardisty, Peter C. Butler, Johannes D. Veldhuis, Trevor A. Gray, Phil Brown, Peter Hayes, Hasnain Ali Shah, Christopher J. Rhodes, Priya Madhuvrata and Thomas J. Farrell. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Endocrinology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026