Won‐Tae Kim
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Insect Science top 5%
- Surgery
- Co-authors
- Chun Jeih RyuWun‐Jae KimSeok Joong YunYung Hyun ChoiSun‐Hee LeemYoung-Cheol ChoiHong Seo ChoiKwan‐Ho Park
- Topics
- Insect and Arachnid Ecology and Behavior (5 papers)CRISPR and Genetic Engineering (4 papers)Cancer Cells and Metastasis (4 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Won‐Tae Kim
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 514
- Oncology 268
- Cancer Research 236
- Insect Science 164
- Surgery 137
Countries citing papers authored by Won‐Tae Kim
This map shows the geographic impact of Won‐Tae 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‐Tae 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‐Tae Kim more than expected).
Fields of papers citing papers by Won‐Tae Kim
This network shows the impact of papers produced by Won‐Tae 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‐Tae Kim. The network helps show where Won‐Tae Kim may publish in the future.
Co-authorship network of co-authors of Won‐Tae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Tae Kim. A scholar is included among the top collaborators of Won‐Tae 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‐Tae Kim. Won‐Tae 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 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 57 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 18 | |
| 12 | Seasonal Variations of Intraocular Pressure in Normal Sapsaree Dogs | 1 |
| 13 | ミツバチ(API melifera.L)の毒による動物皮膚創傷の治療の生物学的効果 | 2 |
| 14 | Seasonal Pupation, Adult Emergence and Mating of Black Soldier Fly, Hermetia illucens (Diptera: Stratiomyidae) in Artificial Rearing System | 14 |
| 15 | The Larval Age and Mouth Morphology of the Black Soldier Fly, Hermetia illucens (Diptera: Stratiomyidae) | 58 |
| 16 | 7 | |
| 17 | Ophthalmic Findings in 547 Korean Sapsaree Dogs | 1 |
| 18 | Outcome of Microsurgical Multiple Testicular Sperm Extraction for Patients with Y Chromosome Microdeletion | 1 |
| 19 | A Case of Vitreous Amyloidosis | 2 |
| 20 | Clinical Experience of Undetected Pelvic Bone Fracture during Treatment of Pelvic Pain - A case report- | 1 |
About Won‐Tae Kim
Won‐Tae Kim is a scholar working on Insect Science, Complementary and Manual Therapy and Sensory Systems, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (5 papers), CRISPR and Genetic Engineering (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (236 citations), Insect Science (164 citations) and Oncology (268 citations). Won‐Tae Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Chun Jeih Ryu, Wun‐Jae Kim, Seok Joong Yun, Yung Hyun Choi, Sun‐Hee Leem, Young-Cheol Choi, Hong Seo Choi, Kwan‐Ho Park, Young‐Joo Jang and Sung‐Kwon Moon. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.