Won Kim
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Neurology top 5%
- Information Systems top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Jay BanerjeeHenry F. KorthHyoung-Joo KimHong‐Tai ChouIsaac YangNader PouratianLinda M. LiauJong‐Min Woo
- Topics
- Pituitary Gland Disorders and Treatments (19 papers)Glioma Diagnosis and Treatment (17 papers)Advanced Database Systems and Queries (13 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Won Kim
118 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 171
- Computer Networks and Communications 613
- Artificial Intelligence 542
- Neurology 408
- Information Systems 393
- Cognitive Neuroscience 307
Countries citing papers authored by Won Kim
This map shows the geographic impact of 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 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 Won Kim more than expected).
Fields of papers citing papers by Won Kim
This network shows the impact of papers produced by 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 Won Kim. The network helps show where Won Kim may publish in the future.
Co-authorship network of co-authors of Won Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Won Kim. A scholar is included among the top collaborators of 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 Won Kim. 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 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | The Rise of China and the Repositioning of Asian NAEs | 3 |
| 11 | Collaborative Regional Development in Northeast Asia: Towards a Sustainable Regional and Sub-regional Future | 0 |
| 12 | 31 | |
| 13 | Prognostic Factors Correlated with Cancer Specific Survival and Disease-free Survival of Papillary Thyroid Carcinoma in Korea | 1 |
| 14 | Data Mining: Promises, Reality, and Future - Part 3. | 1 |
| 15 | Family, Social Relations, and Asian Capitalism | 3 |
| 16 | Industrial cooperation and regional development in Northeast Asia Toward a cooperative development strategy | 2 |
| 17 | On view support in object-oriented database systems | 23 |
| 18 | Industrial Restructuring and the Role of the Asian NIEs in the Asian Pacific Rim Area | 0 |
| 19 | Versions of Schema for Object-Oriented Databases | 86 |
| 20 | Multimedia Information Management in an Object-Oriented Database System | 55 |
About Won Kim
Won Kim is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Neurology, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (19 papers), Glioma Diagnosis and Treatment (17 papers) and Advanced Database Systems and Queries (13 papers). The work is most often cited by research in Computer Networks and Communications (613 citations), Neurology (408 citations) and Genetics (275 citations). Won Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jay Banerjee, Henry F. Korth, Hyoung-Joo Kim, Hong‐Tai Chou, Isaac Yang, Nader Pouratian, Linda M. Liau, Jong‐Min Woo, Daniel T. Nagasawa and Andrew Yew. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.