Seung‐Hyun Ko

9.8k citations
252 papers · 6.8k indexed · 2 hit papers · h-index 45

Seung‐Hyun Ko

240 papers receiving 6.6k citations

Hit Papers

Diabetes Fact...1762003202620102018100200300400500

Peers

Seung‐Hyun Ko
Comparison fields: 5 of 154
  • Endocrinology, Diabetes and Metabolism 3.1k
  • Nephrology 323
  • Cardiology and Cardiovascular Medicine 896
  • Surgery 1.7k
  • Physiology 877
Replace Haoming Tian with:
Haoming Tian China
Wayne Huey‐Herng Sheu Taiwan
Dalong Zhu China
Luigi Laviola Italy
Nikolaοs Tentolouris Greece
Ronan Roussel France
Dı́dac Mauricio Spain
Chul Woo Ahn South Korea
Koutaro Yokote Japan
Naoto Nakamura Japan
Seung‐Hyun Ko relative to Haoming Tian China Haoming Tian's profile →
Citations per field
00.5×6.3×
Haoming Tian · 1×
Citations per year

Countries citing papers authored by Seung‐Hyun Ko

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Hyun Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20241
5 20240
6 20237
7 20231
8 20233
9 20234
10 202215
11 202236
12 20227
13 20209
14 20205
15 202013
16 202014
17 20206
18
Relevance of emergency level assessment by the Korean Triage and Acuity Scale for adult patients in a local emergency medical center
20181
19
Relative Hyperglucagonemia and Its Related Factors in Patients with Type 2 Diabetes.
20041
20
Relationship Between Intimal-Medial Thickness (IMT) of the Carotid Artery and Atherosclerotic Risk Factors in Patients with type 2 Diabets Mellitus.
20011

About Seung‐Hyun Ko

Seung‐Hyun Ko is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Surgery, having authored 252 papers that have together received 6.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (65 papers), Diabetes Management and Research (52 papers), Pancreatic function and diabetes (33 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Metabolism, Diabetes, and Cancer (29 papers), Diabetes and associated disorders (23 papers), Diabetes Management and Education (20 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Nephrology (323 citations) and Cardiology and Cardiovascular Medicine (896 citations). Seung‐Hyun Ko has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yu‐Bae Ahn, Jae‐Seung Yun, Kun‐Ho Yoon, Yong‐Moon Park, Ki‐Ho Song, Hyuk‐Sang Kwon, Kyungdo Han, Jae‐Hyoung Cho, Bong Yun and Seon‐Ah Cha. Their work appears in journals such as Nucleic Acids Research, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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