Duc‐Hiep Bach
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
-
- Cancer, Lipids, and Metabolism 2
- MicroRNA in disease regulation 2
- Oncology 8
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Sang Kook Lee (17 shared papers)Hyen Joo Park (8 shared papers)Anil K. Sood (2 shared papers)Ji‐Young Hong (7 shared papers)Thi-Thu-Trang Luu (6 shared papers)Donghwa Kim (7 shared papers)Wei Zhang (1 shared paper)Phung Thanh Huong (1 shared paper)
- Journals
- Molecular Therapy — Nucleic Acids (3 papers)Cellular and Molecular Neurobiology (2 papers)Cancers (2 papers)Marine Drugs (1 paper)Oncogene (1 paper)
- Partner nations
- South KoreaPuerto RicoVietnam
In The Last Decade
Duc‐Hiep Bach
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 641
- Molecular Biology 1.1k
- Oncology 279
- Cell Biology 101
- Geriatrics and Gerontology 20
Countries citing papers authored by Duc‐Hiep Bach
This map shows the geographic impact of Duc‐Hiep Bach'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 Duc‐Hiep Bach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc‐Hiep Bach more than expected).
Fields of papers citing papers by Duc‐Hiep Bach
This network shows the impact of papers produced by Duc‐Hiep Bach. 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 Duc‐Hiep Bach. The network helps show where Duc‐Hiep Bach may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc‐Hiep Bach, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 334 | |
| 2 | 2017 | 235 | |
| 3 | 2017 | 147 | |
| 4 | 2018 | 145 | |
| 5 | 2019 | 108 | |
| 6 | 2019 | 84 | |
| 7 | 2019 | 83 | |
| 8 | 2018 | 79 | |
| 9 | 2018 | 64 | |
| 10 | 2017 | 50 | |
| 11 | 2016 | 49 | |
| 12 | 2018 | 45 | |
| 13 | 2015 | 36 | |
| 14 | 2017 | 26 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2018 | 13 | |
| 20 | 2015 | 8 |
About Duc‐Hiep Bach
Duc‐Hiep Bach is a scholar working on Cancer Research, Oncology, Molecular Biology, Cell Biology and Immunology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Circular RNAs in diseases (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), RNA modifications and cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers), Extracellular vesicles in disease (2 papers), MicroRNA in disease regulation (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cancer Research (641 citations), Molecular Biology (1.1k citations), Oncology (279 citations), Cell Biology (101 citations) and Geriatrics and Gerontology (20 citations). Duc‐Hiep Bach has collaborated with scholars based in South Korea, Puerto Rico and Vietnam. Frequent co-authors include Sang Kook Lee, Hyen Joo Park, Anil K. Sood, Ji‐Young Hong, Thi-Thu-Trang Luu, Donghwa Kim, Wei Zhang, Phung Thanh Huong, Yanhua Fan and Nguyen Phuoc Long. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Cellular and Molecular Neurobiology, Cancers, Marine Drugs and Oncogene.
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.