Jeong Su Park
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 17
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 9
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 12
- Tuberculosis Research and Epidemiology 6
- Modeling and Simulation top 5%
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- Aquaculture disease management and microbiota 6
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- Mycobacterium research and diagnosis 6
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- Blood groups and transfusion 6
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Hong Bin KimKyoung Un ParkKyoung‐Ho SongEu Suk KimHyunju LeeJunghan SongJongtak JungHeeyoung Lee
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Jeong Su Park
71 papers receiving 829 citations
Peers
Comparison fields: 5 of 119
- Applied Microbiology and Biotechnology 49
- Clinical Biochemistry 161
- Molecular Medicine 112
- Infectious Diseases 213
- Modeling and Simulation 51
Countries citing papers authored by Jeong Su Park
This map shows the geographic impact of Jeong Su Park'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 Jeong Su Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong Su Park more than expected).
Fields of papers citing papers by Jeong Su Park
This network shows the impact of papers produced by Jeong Su Park. 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 Jeong Su Park. The network helps show where Jeong Su Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeong Su Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2015 | 10 | |
| 17 | 2015 | 15 | |
| 18 | Genotyping for RhD and RhCEce Antigens Using Free Circulating Nucleic Acids in Plasma and Serum | 2014 | 1 |
| 19 | 2012 | 1 | |
| 20 | Evaluation of the Performance of the DG Gel Test for Unexpected Antibody Screening and Identification | 2008 | 2 |
About Jeong Su Park
Jeong Su Park is a scholar working on Clinical Biochemistry, Molecular Medicine and Infectious Diseases, having authored 79 papers that have together received 849 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (17 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (9 papers), Tuberculosis Research and Epidemiology (6 papers), Aquaculture disease management and microbiota (6 papers), Mycobacterium research and diagnosis (6 papers), Blood groups and transfusion (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (49 citations), Clinical Biochemistry (161 citations) and Molecular Medicine (112 citations). Jeong Su Park has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Hong Bin Kim, Kyoung Un Park, Kyoung‐Ho Song, Eu Suk Kim, Hyunju Lee, Junghan Song, Jongtak Jung, Heeyoung Lee, Hyoung Jun Kim and Se Ryun Kwon. Their work appears in journals such as PLoS ONE, Analytical Chemistry and Clinical 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.