Mi Suk Lee

2.8k citations
153 papers · 1.9k indexed · h-index 24

Impact in

Papers in

Mi Suk Lee

130 papers receiving 1.8k citations

Peers

Mi Suk Lee
Comparison fields: 5 of 153
  • Applied Microbiology and Biotechnology 164
  • Molecular Medicine 209
  • Clinical Biochemistry 206
  • Infectious Diseases 515
  • Epidemiology 624
Replace Stephen A. Moser with:
Stephen A. Moser United States
Kamaljit Singh United States
Kai‐Sheng Hsieh Taiwan
Aimee K. Zaas United States
Vanya Gant United Kingdom
R. Michael Massanari United States
James M. Hughes United States
Mauro Giacomini Italy
Chih‐Jung Chen Taiwan
Sébastien Bailly France
Mi Suk Lee relative to Stephen A. Moser United States Stephen A. Moser's profile →
Citations per field
00.5×2.7×
Stephen A. Moser · 1×
Citations per year

Countries citing papers authored by Mi Suk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mi Suk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Suk Lee. 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 Mi Suk Lee. The network helps show where Mi Suk Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20231
3 20234
4 20237
5 20228
6 202218
7 20226
8 20220
9 20217
10 20201
11 202018
12 20209
13 20199
14 201915
15 20190
16 201842
17 201623
18
G.711.1: A wideband extension to ITU-T G.711
20089
19
In vitro Antimicrobial Activity of Cefcapene against Clinical Isolates
20052
20
The Influence of Couples 'Sex-Role Attitude and Wives' Domesticity on Their Marital Satisfaction with Reference to Wives' Jobs
20001

About Mi Suk Lee

Mi Suk Lee is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Visual Arts and Performing Arts, Leadership and Management and Critical Care and Intensive Care Medicine, having authored 153 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (18 papers), Consumer Perception and Purchasing Behavior (17 papers), Urinary Tract Infections Management (15 papers), Antibiotic Resistance in Bacteria (14 papers), Bacterial Identification and Susceptibility Testing (14 papers), Cultural and Historical Studies (13 papers), Antibiotic Use and Resistance (13 papers) and Infectious Diseases and Tuberculosis (12 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (164 citations), Molecular Medicine (209 citations), Clinical Biochemistry (206 citations), Infectious Diseases (515 citations) and Epidemiology (624 citations). Mi Suk Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ki–Ho Park, Sang‐Ho Choi, Yang Soo Kim, Jun Hee Woo, Sang‐Oh Lee, Sung‐Han Kim, In‐Gyu Bae, Yong Pil Chong, Seong Yeon Park and Jin-Won Chung. Their work appears in journals such as Journal of Korean Medical Science, Journal of Infection, Infection Control and Hospital Epidemiology, PLoS ONE and Scientific Reports.

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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