Yuh-Min Song

412 citations
24 papers · 307 indexed · h-index 11
Topics
Trace Elements in Health (5 papers)Regulation of Appetite and Obesity (4 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Yuh-Min Song

24 papers receiving 295 citations

Peers

Yuh-Min Song
Comparison fields: 5 of 70
  • Nutrition and Dietetics 111
  • Endocrinology, Diabetes and Metabolism 91
  • Epidemiology 52
  • Endocrine and Autonomic Systems 46
  • Surgery 44
Replace Aytaç Atamer with:
Aytaç Atamer Türkiye
G BERENSON United States
L.G. Alcindor France
Yüksel Koçyiğit Türkiye
Hans-Peter Kopp Austria
Yıldız Öner-İyidoğan Türkiye
Saša Radenković Serbia
Sabahattin Muhtaroğlu Türkiye
Silvia Iannello Italy
F. Schouten Netherlands
Yuh-Min Song relative to Aytaç Atamer Türkiye Aytaç Atamer's profile →
Citations per field
00.5×1.5×2.2×
Aytaç Atamer · 1×
Citations per year

Countries citing papers authored by Yuh-Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Yuh-Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuh-Min Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yuh-Min Song. A scholar is included among the top collaborators of Yuh-Min 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 Yuh-Min Song. Yuh-Min 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 1
2 12
3 7
4 9
5
Higher serum total bilirubin concentration is associated with lower risk of renal insufficiency in an adult population.
12
6 15
7 6
8 1
9 3
10 5
11 3
12 10
13 16
14 2
15 3
16 84
17 21
18 26
19 16
20 4

About Yuh-Min Song

Yuh-Min Song is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 24 papers that have together received 307 indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Regulation of Appetite and Obesity (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Nutrition and Dietetics (111 citations), Endocrine and Autonomic Systems (46 citations) and Endocrinology, Diabetes and Metabolism (91 citations). Yuh-Min Song has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ming-Der Chen, Pi‐Yao Lin, Wayne Huey‐Herng Sheu, I‐Te Lee, Shih‐Yi Lin, Wen-Han Lin, Jun‐Sing Wang, Wen‐Jane Lee, Shih-Yi Lin and Chia‐Po Fu. Their work appears in journals such as PLoS ONE, Life Sciences and Clinica Chimica Acta.

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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