Ju Won Kim
Impact in
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- Pancreatic and Hepatic Oncology Research
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 15
- Colorectal Cancer Treatments and Studies 5
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- Cancer Genomics and Diagnostics 7
- Breast Cancer Treatment Studies 3
- Co-authors
- Kyong Hwa Park (18 shared papers)Si Young Song (3 shared papers)Hye Won Chung (2 shared papers)Jae Bock Chung (2 shared papers)Yoon Ji Choi (13 shared papers)Yeul Hong Kim (8 shared papers)Sang Won Shin (4 shared papers)Seungmin Bang (1 shared paper)
- Journals
- Cancer Research and Treatment (6 papers)Journal of Veterinary Science (2 papers)BMC Cancer (2 papers)Advances in Space Research (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Ju Won Kim
40 papers receiving 341 citations
Peers
Comparison fields: 5 of 86
- Oncology 116
- Cancer Research 44
- Plant Science 80
- Pulmonary and Respiratory Medicine 54
- Molecular Biology 91
Countries citing papers authored by Ju Won Kim
This map shows the geographic impact of Ju 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 Ju 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 Ju Won Kim more than expected).
Fields of papers citing papers by Ju Won Kim
This network shows the impact of papers produced by Ju 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 Ju Won Kim. The network helps show where Ju Won Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Won Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 48 | |
| 2 | 2004 | 45 | |
| 3 | 2013 | 28 | |
| 4 | 2008 | 25 | |
| 5 | 2020 | 19 | |
| 6 | 2016 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2012 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2006 | 8 | |
| 17 | Molecular cloning and expression analysis of an interferon stimulated gene 15 from rock bream Oplegnathus fasciatus | 2010 | 8 |
| 18 | 2020 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 5 |
About Ju Won Kim
Ju Won Kim is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 43 papers that have together received 351 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Energetic Materials and Combustion (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Rocket and propulsion systems research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Oncology (116 citations), Cancer Research (44 citations), Plant Science (80 citations), Pulmonary and Respiratory Medicine (54 citations) and Molecular Biology (91 citations). Ju Won Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyong Hwa Park, Si Young Song, Hye Won Chung, Jae Bock Chung, Yoon Ji Choi, Yeul Hong Kim, Sang Won Shin, Seungmin Bang, Yong‐sic Hwang and Jin Sil Seong. Their work appears in journals such as Cancer Research and Treatment, Journal of Veterinary Science, BMC Cancer, Advances in Space Research 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.