Mi‐Na Kim

9.0k citations
341 papers · 6.5k indexed · 1 hit paper · h-index 42

Mi‐Na Kim

315 papers receiving 6.3k citations

Hit Papers

Mucin degrader Akkermansia muciniphila accelerates intest...210202120262022202450100150200

Peers

Mi‐Na Kim
Comparison fields: 5 of 155
  • Molecular Medicine 1.1k
  • Infectious Diseases 3.2k
  • Clinical Biochemistry 1.1k
  • Applied Microbiology and Biotechnology 297
  • Endocrinology 436
Replace Reno Frei with:
Reno Frei Switzerland
Jun Hee Woo South Korea
Katsunori Yanagihara Japan
Sang‐Oh Lee South Korea
Jean‐Luc Mainardi France
Phyllis Della‐Latta United States
Duane R. Hospenthal United States
Jan Verhaegen Belgium
Wang‐Huei Sheng Taiwan
Ray Hachem United States
Mi‐Na Kim relative to Reno Frei Switzerland Reno Frei's profile →
Citations per field
00.5×
Reno Frei · 1×
Citations per year

Countries citing papers authored by Mi‐Na Kim

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Na Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi‐Na 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 Mi‐Na Kim. The network helps show where Mi‐Na Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20242
5 20233
6 20233
7 20234
8 202310
9 20230
10 20237
11 20235
12 20200
13 20201
14 20206
15 202011
16 20191
17 201214
18 201168
19
Occurrence and Genotypic Distributions of Plasmid-Mediated AmpC $\beta$ -Lactamase-Producing Escherichia coli and Klebsiella pneumoniae in Korea
200212
20
Survey on Changes in Mycobacterial Testing Practicies in Korean Laboratories.
200113

About Mi‐Na Kim

Mi‐Na Kim is a scholar working on Molecular Medicine, Clinical Biochemistry, Infectious Diseases, Microbiology and Applied Microbiology and Biotechnology, having authored 341 papers that have together received 6.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (63 papers), Antibiotic Resistance in Bacteria (58 papers), Antimicrobial Resistance in Staphylococcus (55 papers), Antifungal resistance and susceptibility (35 papers), Pneumonia and Respiratory Infections (34 papers), Fungal Infections and Studies (30 papers), Mycobacterium research and diagnosis (29 papers) and Pneumocystis jirovecii pneumonia detection and treatment (27 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Infectious Diseases (3.2k citations), Clinical Biochemistry (1.1k citations), Applied Microbiology and Biotechnology (297 citations) and Endocrinology (436 citations). Mi‐Na Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Heungsup Sung, Sang‐Ho Choi, Jun Hee Woo, Yang Soo Kim, Sang‐Oh Lee, Sung‐Han Kim, Kyungwon Lee, Yong Pil Chong, Jin‐Yong Jeong and Jong Hee Shin. Their work appears in journals such as Annals of Laboratory Medicine, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology and Journal of Korean Medical Science.

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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