Tae Hyong Kim

8.3k citations
343 papers · 5.6k indexed · 1 hit paper · h-index 37

Tae Hyong Kim

253 papers receiving 5.4k citations

Hit Papers

Populations at risk for severe or complicated influenza i...4492013202620172021100200300400

Peers

Tae Hyong Kim
Comparison fields: 5 of 193
  • Applied Microbiology and Biotechnology 229
  • Molecular Medicine 346
  • Hematology 672
  • Infectious Diseases 894
  • Modeling and Simulation 182
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Paul Kelly United Kingdom
Junfeng Sun United States
Mohammad Reza Zali Iran
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Charles S. Dela Cruz United States
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Kyoung Un Park South Korea
YL Lau Hong Kong
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Tae Hyong Kim relative to Paul Kelly United Kingdom Paul Kelly's profile →
Citations per field
00.5×2.9×
Paul Kelly · 1×
Citations per year

Countries citing papers authored by Tae Hyong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Hyong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Hyong Kim. 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 Tae Hyong Kim. The network helps show where Tae Hyong Kim may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tae Hyong Kim, 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 Tae Hyong Kim Line = papers co-authored together Tae Hyong Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20232
4 202216
5 2019112
6 20199
7 2014207
8 201350
9
스포츠구단 SNS 이용동기, 만족 및 충성도간의 관계
20131
10 20111
11
수도권 내 지역별 활동시간 특성 분석
20111
12
SDL-OPNET Model Conversion Technique for the Development of Communication Protocols with an Integrated Model Design Approach
20101
13
급성췌장염 환자에서의 경장영양요법를 위해 개발된 새로운 코일 튜브의 유용성
20101
14
소재반경에 따른 LM 가이드의 형상압연해석
20100
15
모래의 시간-침하량 관계 예측
20080
16
대학생의 스포츠 스타이미지와 스포츠 태도의 관계
20080
17
바이모달 트램용 감속기어장치의 무부하 성능평가
20080
18
점토차수시스템의 균열 특성
20060
19
An Effective Pre-refresh Mechanism for Embedded Web Browser of Mobile Handheld Devices
20040
20
직병렬형 8비트 고속 A/D 변환기의 설계
19860

About Tae Hyong Kim

Tae Hyong Kim is a scholar working on Leadership and Management, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 343 papers that have together received 5.6k indexed citations. Recurring topics across this work include Diverse Approaches in Healthcare and Education Studies (17 papers), Infection Control in Healthcare (16 papers), Urinary Tract Infections Management (16 papers), Influenza Virus Research Studies (13 papers), Nosocomial Infections in ICU (12 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Pneumonia and Respiratory Infections (12 papers) and Antibiotic Resistance in Bacteria (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (229 citations), Molecular Medicine (346 citations) and Hematology (672 citations). Tae Hyong Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Norma K.C. Ramsay, Mark Loeb, Seung Y. Rhee, Ricardo Nilo‐Poyanco, Leslie L. Robison, Lee Chae, Jennie Johnstone, Eun Jung Lee, Eun Ju Choo and Se Yoon Park. Their work appears in journals such as Journal of Korean Medical Science, Cancer, International Journal of Radiation Oncology*Biology*Physics, Journal of Hospital Infection and Open Forum Infectious Diseases.

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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