Kyong Ran Peck
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria 111
- Applied Microbiology and Biotechnology top 0.05%
- Endocrinology top 0.2%
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing 79
- Infectious Diseases top 0.2%
- Antimicrobial Resistance in Staphylococcus 81
- SARS-CoV-2 and COVID-19 Research 47
- COVID-19 Clinical Research Studies 40
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- Antibiotics Pharmacokinetics and Efficacy 50
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- Pneumonia and Respiratory Infections 49
- Urinary Tract Infections Management 37
- Co-authors
- Doo Ryeon ChungCheol‐In KangKwan Soo KoJae‐Hoon SongNam Yong LeeKim YsYoung Eun HaWon Sup Oh
- Journals
- JAMA (1 paper)Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kyong Ran Peck
428 papers receiving 9.8k citations
Peers
Comparison fields: 5 of 174
- Molecular Medicine 3.2k
- Applied Microbiology and Biotechnology 1.1k
- Endocrinology 1.3k
- Clinical Biochemistry 1.5k
- Infectious Diseases 3.6k
Countries citing papers authored by Kyong Ran Peck
This map shows the geographic impact of Kyong Ran Peck'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 Kyong Ran Peck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyong Ran Peck more than expected).
Fields of papers citing papers by Kyong Ran Peck
This network shows the impact of papers produced by Kyong Ran Peck. 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 Kyong Ran Peck. The network helps show where Kyong Ran Peck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyong Ran Peck, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 5 | |
| 13 | 2022 | 0 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 11 | |
| 19 | 2011 | 68 | |
| 20 | 2007 | 34 |
About Kyong Ran Peck
Kyong Ran Peck is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 443 papers that have together received 10.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (111 papers), Antimicrobial Resistance in Staphylococcus (81 papers), Bacterial Identification and Susceptibility Testing (79 papers), Antibiotics Pharmacokinetics and Efficacy (50 papers), Pneumonia and Respiratory Infections (49 papers), SARS-CoV-2 and COVID-19 Research (47 papers), COVID-19 Clinical Research Studies (40 papers) and Urinary Tract Infections Management (37 papers). The work is most often cited by research in Molecular Medicine (3.2k citations), Applied Microbiology and Biotechnology (1.1k citations) and Endocrinology (1.3k citations). Kyong Ran Peck has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Doo Ryeon Chung, Cheol‐In Kang, Kwan Soo Ko, Jae‐Hoon Song, Nam Yong Lee, Jae‐Hoon Song, Kim Ys, Young Eun Ha, Won Sup Oh and Yu Mi Wi. Their work appears in journals such as JAMA, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.