Hee‐Won Bae
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Microbiology top 5%
- Microbial infections and disease research
Papers in
-
- RNA and protein synthesis mechanisms 5
- Bacterial biofilms and quorum sensing 4
- Genomics and Phylogenetic Studies 4
- Ecology 14
- Bacteriophages and microbial interactions 14
- Co-authors
- You‐Hee Cho (22 shared papers)In-Young Chung (9 shared papers)Hye‐Jeong Jang (4 shared papers)Bi-o Kim (4 shared papers)Eun Sook Kim (4 shared papers)So Youn Kim (1 shared paper)Eun‐Sook Kim (1 shared paper)Nam‐Chul Ha (1 shared paper)
- Journals
- Journal of Virology (3 papers)The Journal of Microbiology (3 papers)Proceedings of the National Academy of Sciences (2 papers)mSystems (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- South Korea
In The Last Decade
Hee‐Won Bae
22 papers receiving 537 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 67
- Microbiology 73
- Endocrinology 54
- Ecology 222
- Molecular Biology 276
Countries citing papers authored by Hee‐Won Bae
This map shows the geographic impact of Hee‐Won Bae'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 Hee‐Won Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Won Bae more than expected).
Fields of papers citing papers by Hee‐Won Bae
This network shows the impact of papers produced by Hee‐Won Bae. 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 Hee‐Won Bae. The network helps show where Hee‐Won Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee‐Won Bae, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2015 | 114 | |
| 3 | 2014 | 85 | |
| 4 | 2019 | 65 | |
| 5 | 2013 | 26 | |
| 6 | 2020 | 22 | |
| 7 | 2018 | 14 | |
| 8 | 2012 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Hee‐Won Bae
Hee‐Won Bae is a scholar working on Molecular Biology, Ecology, Genetics, Molecular Medicine and Microbiology, having authored 23 papers that have together received 543 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (14 papers), Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (6 papers), RNA and protein synthesis mechanisms (5 papers), Microbial infections and disease research (4 papers), Bacterial biofilms and quorum sensing (4 papers), Genomics and Phylogenetic Studies (4 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Molecular Medicine (67 citations), Microbiology (73 citations), Endocrinology (54 citations), Ecology (222 citations) and Molecular Biology (276 citations). Hee‐Won Bae has collaborated with scholars based in South Korea. Frequent co-authors include You‐Hee Cho, In-Young Chung, Hye‐Jeong Jang, Bi-o Kim, Eun Sook Kim, So Youn Kim, Eun‐Sook Kim, Nam‐Chul Ha, Jinsik Kim and Saemee Song. Their work appears in journals such as Journal of Virology, The Journal of Microbiology, Proceedings of the National Academy of Sciences, mSystems and Antioxidants and Redox Signaling.
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.