Daewon Kim
- Electrical and Electronic Engineering
- Molecular Biology
- Complementary and alternative medicine top 5%
- Mechanics of Materials
- Biotechnology
- Co-authors
- Alexander EfremovJae Youl ChoAdithan AravinthanJong‐Hoon KimMuhammad Jahangir HossenWoo Seok YangJeff GoldJun‐Hui Choi
- Topics
- Bacterial Identification and Susceptibility Testing (6 papers)Antibiotic Resistance in Bacteria (4 papers)Mycobacterium research and diagnosis (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Clinical Microbiology
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Daewon Kim
26 papers receiving 411 citations
Peers
Comparison fields: 5 of 104
- Electrical and Electronic Engineering 94
- Molecular Biology 90
- Complementary and alternative medicine 74
- Mechanics of Materials 55
- Biotechnology 46
Countries citing papers authored by Daewon Kim
This map shows the geographic impact of Daewon 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 Daewon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daewon Kim more than expected).
Fields of papers citing papers by Daewon Kim
This network shows the impact of papers produced by Daewon 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 Daewon Kim. The network helps show where Daewon Kim may publish in the future.
Co-authorship network of co-authors of Daewon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daewon Kim. A scholar is included among the top collaborators of Daewon 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 Daewon Kim. Daewon 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 | 2 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 109 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 22 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | The Effect of Transformational Leadership and Perceived Organization Support on Organizational Citizenship Behavior | 1 |
About Daewon Kim
Daewon Kim is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 28 papers that have together received 425 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Complementary and alternative medicine (74 citations), Toxicology (29 citations) and Molecular Medicine (36 citations). Daewon Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Alexander Efremov, Jae Youl Cho, Adithan Aravinthan, Jong‐Hoon Kim, Muhammad Jahangir Hossen, Woo Seok Yang, Jeff Gold, Jun‐Hui Choi, Sung-Jun Kim and Seung Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Microbiology.
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.