Young‐Ju Lim

443 citations
20 papers · 284 · h-index 8

Impact in

Papers in

Young‐Ju Lim

17 papers receiving 276 citations

Peers

Young‐Ju Lim
Comparison fields: 5 of 59
  • Infectious Diseases 192
  • Applied Microbiology and Biotechnology 16
  • Health 61
  • Modeling and Simulation 32
  • Molecular Medicine 33
Replace Sun Hee Kwak with:
Sun Hee Kwak South Korea
Jung Wan Park South Korea
Ghassan Wali Saudi Arabia
Leighanne Parkes Canada
Loretta Fauerbach United States
Christelle Elias France
Linda Graviss United States
Stefan Heytens Belgium
Evangelos Kostis Greece
Anubhav Kanwar United States
Young‐Ju Lim relative to Sun Hee Kwak South Korea Sun Hee Kwak's profile →
Citations per field
00.5×2.7×
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
#Work
1 202198
2 202261
3 201427
4 202121
5 201818
6 201716
7 202010
8 20228
9 20216
10 20214
11 20154
12 20233
13 20223
14 20222
15 20221
16 20251
17 20221
18 20230
19 20250
20 20210

About Young‐Ju Lim

Young‐Ju Lim is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Medicine, Oncology and Modeling and Simulation, having authored 20 papers that have together received 284 indexed citations. Recurring topics across this work include Infection Control and Ventilation (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Antibiotic Resistance in Bacteria (5 papers), SARS-CoV-2 detection and testing (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 epidemiological studies (3 papers), Infection Control in Healthcare (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (192 citations), Applied Microbiology and Biotechnology (16 citations), Health (61 citations), Modeling and Simulation (32 citations) and Molecular Medicine (33 citations). Young‐Ju Lim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Sung‐Han Kim, Jiwon Jung, Eun Ok Kim, Seongman Bae, So Yun Lim, Joon Seo Lim, Sun-Kyung Kim, Sun Hee Kwak, Man‐Seong Park and Hyouk‐Soo Kwon. Their work appears in journals such as Journal of Korean Medical Science, Infection Control and Hospital Epidemiology, American Journal of Infection Control, JAMA Network Open and Antimicrobial Resistance and Infection Control.

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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