Wan Beom Park
- Infectious Diseases top 5%
- Modeling and Simulation top 5%
- Epidemiology
- Animal Science and Zoology top 10%
- Molecular Biology
- Co-authors
- Myoung‐don OhNam Joong KimHong Bin KimKyoung‐Ho SongJi Hwan BangSang‐Won ParkPyoeng Gyun ChoeEu Suk Kim
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)Antimicrobial Resistance in Staphylococcus (5 papers)Animal Virus Infections Studies (5 papers)
- Partner nations
- South KoreaEthiopiaHong Kong
In The Last Decade
Wan Beom Park
20 papers receiving 558 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 450
- Modeling and Simulation 78
- Epidemiology 77
- Animal Science and Zoology 66
- Molecular Biology 61
Countries citing papers authored by Wan Beom Park
This map shows the geographic impact of Wan Beom 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 Wan Beom Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Beom Park more than expected).
Fields of papers citing papers by Wan Beom Park
This network shows the impact of papers produced by Wan Beom 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 Wan Beom Park. The network helps show where Wan Beom Park may publish in the future.
Co-authorship network of co-authors of Wan Beom Park
This figure shows the co-authorship network connecting the top 25 collaborators of Wan Beom Park. A scholar is included among the top collaborators of Wan Beom Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wan Beom Park. Wan Beom Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 15 | |
| 4 | 59 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 153 | |
| 12 | 20 | |
| 13 | 20 | |
| 14 | 47 | |
| 15 | 33 | |
| 16 | 106 | |
| 17 | 22 | |
| 18 | A Survey on Antimicrobial Prescriptions and Stewardship Programs in Korea | 5 |
| 19 | Multicenter Study for Frequency and Clinical Features of Community-Associated Methicillin-Resistant Staphylococcus aureus in Korea | 8 |
| 20 | Malignancies in Patients with Human Immunodeficiency Virus Infection in South Korea | 5 |
About Wan Beom Park
Wan Beom Park is a scholar working on Infectious Diseases, Animal Science and Zoology and Clinical Biochemistry, having authored 20 papers that have together received 570 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (450 citations), Modeling and Simulation (78 citations) and Applied Microbiology and Biotechnology (20 citations). Wan Beom Park has collaborated with scholars based in South Korea, Ethiopia and Hong Kong. Frequent co-authors include Myoung‐don Oh, Nam Joong Kim, Hong Bin Kim, Kyoung‐Ho Song, Ji Hwan Bang, Sang‐Won Park, Pyoeng Gyun Choe, Eu Suk Kim, Leo L. M. Poon and Malik Peiris. Their work appears in journals such as Cancer, Antimicrobial Agents and Chemotherapy and Cellular and Molecular Life Sciences.
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.