Eun‐Hyung Yoo

1.5k citations
29 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers)Vitamin D Research Studies (2 papers)COVID-19 Clinical Research Studies (2 papers)
Partner nations
South Korea

In The Last Decade

Eun‐Hyung Yoo

27 papers receiving 1.0k citations

Hit Papers

Glucose Biosensors: An Overview of Use in Clinical Practice20102026201520202010250500750

Peers

Eun‐Hyung Yoo
Comparison fields: 5 of 113
  • Electrical and Electronic Engineering 521
  • Molecular Biology 394
  • Biomedical Engineering 292
  • Bioengineering 200
  • Electrochemistry 157
Replace Ioannis Tomazos with:
Ioannis Tomazos United States
Alexander Kumachev Canada
Jung-Chih Chen Taiwan
Paola Bagella Italy
M.J. Powell United States
Ghanashyam Acharya United States
Yuanyuan Yang China
Rajan Saini India
Tatsuya Ōhashi Japan
A Spanu Italy
Eun‐Hyung Yoo relative to Ioannis Tomazos United States Ioannis Tomazos's profile →
Citations per field
00.5×2.7×
Ioannis Tomazos · 1×
Citations per year

Countries citing papers authored by Eun‐Hyung Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Hyung Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Hyung Yoo. 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 Eun‐Hyung Yoo. The network helps show where Eun‐Hyung Yoo may publish in the future.

Co-authorship network of co-authors of Eun‐Hyung Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Hyung Yoo. A scholar is included among the top collaborators of Eun‐Hyung Yoo 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 Eun‐Hyung Yoo. Eun‐Hyung Yoo 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 13
2 10
3 13
4 2
5 3
6 1
7 4
8 0
9 17
10 9
11 8
12
Clinical, pathological, and genetic analysis of a Korean family with thoracic aortic aneurysms and dissections carrying a novel Asp26Tyr mutation.
12
13
Correction: Yoo, E.H., et al. Glucose Biosensors: An Overview of Use in Clinical Practice. Sensors 2010, 10, 4558–4576
2
14 46
15 21
16 7
17 17
18 26
19 11
20 4

About Eun‐Hyung Yoo

Eun‐Hyung Yoo is a scholar working on Genetics, Hematology and Clinical Biochemistry, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Vitamin D Research Studies (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Bioengineering (200 citations), Electrochemistry (157 citations) and Polymers and Plastics (130 citations). Eun‐Hyung Yoo has collaborated with scholars based in South Korea. Frequent co-authors include Soo‐Youn Lee, Hyun-Jung Cho, Chang‐Seok Ki, Eun Jin Kim, Jong‐Won Kim, Hee‐Jin Kim, Seung‐Tae Lee, Sun‐Hee Kim, Ji‐Youn Kim and Hyo‐Lim Hong. Their work appears in journals such as Blood, Sensors and British Journal of Haematology.

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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