Dae-Won Kim
- Co-authors
- Hong-Seog ParkWon Gi YooHansaem LeeJongbin KimSang-Haeng ChoiJung‐Won JuWon‐Ja LeeKisoon Kim
- Topics
- Genomics and Phylogenetic Studies (9 papers)Bacteriophages and microbial interactions (6 papers)Viral Infections and Vectors (4 papers)
- Partner nations
- South KoreaChinaJapan
In The Last Decade
Dae-Won Kim
44 papers receiving 641 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 208
- Infectious Diseases 184
- Epidemiology 137
- Parasitology 97
- Plant Science 93
Countries citing papers authored by Dae-Won Kim
This map shows the geographic impact of Dae-Won Kim'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 Dae-Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae-Won Kim more than expected).
Fields of papers citing papers by Dae-Won Kim
This network shows the impact of papers produced by Dae-Won Kim. 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 Dae-Won Kim. The network helps show where Dae-Won Kim may publish in the future.
Co-authorship network of co-authors of Dae-Won Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Won Kim. A scholar is included among the top collaborators of Dae-Won Kim 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 Dae-Won Kim. Dae-Won Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Factors to Influence Switching Intention to Internet-only Bank from Legacy Bank: Focused on Financial Consumers’ Asset Management | 4 |
| 3 | 65 | |
| 4 | Willingness to Pay for a Feature of Preventing No-show: a Case of Kakao Hairshop | 1 |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 49 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 75 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | Wernicke-Korsakoff encephalopathy following cancer treatment in a patient with schizophrenia | 1 |
| 17 | New Approach to the Analysis of Palindromic Structure in Genome Sequences | 1 |
| 18 | 20 | |
| 19 | A clinical study on liver abscess over a recent 10-year period | 4 |
| 20 | Cold Agglutinin Disease due to Anti-Pr Cold Autoantibody in a Patient with Bone Marrow Transplantation | 3 |
About Dae-Won Kim
Dae-Won Kim is a scholar working on Parasitology, Infectious Diseases and Small Animals, having authored 45 papers that have together received 655 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (6 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Parasitology (97 citations), Infectious Diseases (184 citations) and Small Animals (56 citations). Dae-Won Kim has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Hong-Seog Park, Won Gi Yoo, Hansaem Lee, Jongbin Kim, Sang-Haeng Choi, Jung‐Won Ju, Won‐Ja Lee, Kisoon Kim, Shin‐Hyeong Cho and Seong-Hyeuk Nam. Their work appears in journals such as Bioinformatics, Journal of Virology and Antimicrobial Agents and Chemotherapy.
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.