Wan Beom Park

909 total citations
20 papers, 570 citations indexed

About

Wan Beom Park is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Wan Beom Park has authored 20 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 5 papers in Animal Science and Zoology and 4 papers in Epidemiology. Recurrent topics in Wan Beom Park's work include SARS-CoV-2 and COVID-19 Research (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Animal Virus Infections Studies (5 papers). Wan Beom Park is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Animal Virus Infections Studies (5 papers). Wan Beom Park collaborates with scholars based in South Korea, Ethiopia and Hong Kong. Wan Beom Park's 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 and has published in prestigious journals such as Cancer, Antimicrobial Agents and Chemotherapy and Cellular and Molecular Life Sciences.

In The Last Decade

Wan Beom Park

20 papers receiving 558 citations

Peers

Wan Beom Park
Comparison fields: 5 of 70
  • Infectious Diseases 450
  • Modeling and Simulation 78
  • Epidemiology 77
  • Animal Science and Zoology 66
  • Molecular Biology 61
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Citations per field, relative to Wan Beom Park
Wan Beom Park · 1×
Citations per year, relative to Wan Beom Park
Wan Beom Park · 1×

Countries citing papers authored by Wan Beom Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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