Young‐Ju Lim

461 citations
22 papers · 293 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Infection Control in Healthcare
    • SARS-CoV-2 detection and testing
    • Antibiotic Resistance in Bacteria

Papers in

Young‐Ju Lim

17 papers receiving 287 citations

Peers

Young‐Ju Lim
Comparison fields: 5 of 55
  • Infectious Diseases 147
  • Molecular Medicine 28
  • Modeling and Simulation 20
  • Health 32
  • Applied Microbiology and Biotechnology 6
Replace Sun Hee Kwak with:
Sun Hee Kwak South Korea
Gabriela Abelenda-Alonso Spain
Olivera Djurić Italy
Raman Sharma India
Christelle Elias France
Tuen-Ching Chan Hong Kong
Anubhav Kanwar United States
Jasmin Islam United Kingdom
Zain Chagla Canada
Lucky G. Ngwira Malawi
Young‐Ju Lim relative to Sun Hee Kwak South Korea Sun Hee Kwak's profile →
Citations per field
00.5×3.3×
Sun Hee Kwak · 1×
Citations per year

Countries citing papers authored by Young‐Ju Lim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ju Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Ju Lim. 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 Young‐Ju Lim. The network helps show where Young‐Ju Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 202261
3 201430
4 202123
5 201818
6 201716
7 202010
8 20228
9 20216
10 20235
11 20214
12 20154
13 20253
14 20223
15 20222
16 20221
17 20221
18 20250
19 20230
20 20250

About Young‐Ju Lim

Young‐Ju Lim is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Medicine, Epidemiology and Organic Chemistry, having authored 22 papers that have together received 293 indexed citations. Recurring topics across this work include Infection Control and Ventilation (6 papers), Antibiotic Resistance in Bacteria (5 papers), SARS-CoV-2 detection and testing (2 papers), Infection Control in Healthcare (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Infectious Diseases (147 citations), Molecular Medicine (28 citations), Modeling and Simulation (20 citations), Health (32 citations) and Applied Microbiology and Biotechnology (6 citations). Young‐Ju Lim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung‐Han Kim, Jiwon Jung, Eun Ok Kim, Seongman Bae, Joon Seo Lim, So Yun Lim, Sun-Kyung Kim, Sun Hee Kwak, Man‐Seong Park and Ji Yeun Kim. Their work appears in journals such as Journal of Korean Medical Science, American Journal of Infection Control, Infection Control and Hospital Epidemiology, Clinical Microbiology and Infection and Molecular Biology 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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