D.S. Hwang
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- DNA Repair Mechanisms 11
- Microbial Metabolic Engineering and Bioproduction 3
- DNA and Nucleic Acid Chemistry 3
- Mitochondrial Function and Pathology 2
- RNA and protein synthesis mechanisms 2
- Photosynthetic Processes and Mechanisms 1
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- A Kornberg (7 shared papers)Beat Thöny (5 shared papers)Jon M. Kaguni (3 shared papers)Elliott Crooke (2 shared papers)Kirsten Skarstad (2 shared papers)Hugh Watkins (1 shared paper)Ludwig Thierfelder (1 shared paper)J G Seidman (1 shared paper)
- Journals
- Journal of Biological Chemistry (8 papers)Molecular Genetics and Genomics (1 paper)Research in Microbiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSouth KoreaArmenia
In The Last Decade
D.S. Hwang
14 papers receiving 822 citations
Peers
Comparison fields: 5 of 51
- Genetics 547
- Molecular Medicine 77
- Endocrinology 54
- Molecular Biology 669
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by D.S. Hwang
This map shows the geographic impact of D.S. Hwang'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 D.S. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.S. Hwang more than expected).
Fields of papers citing papers by D.S. Hwang
This network shows the impact of papers produced by D.S. Hwang. 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 D.S. Hwang. The network helps show where D.S. Hwang may publish in the future.
Co-authors
The 17 scholars most cited alongside D.S. Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 218 | |
| 2 | 1990 | 108 | |
| 3 | 1993 | 98 | |
| 4 | 1992 | 91 | |
| 5 | 1988 | 50 | |
| 6 | 1991 | 49 | |
| 7 | 1992 | 46 | |
| 8 | 1988 | 42 | |
| 9 | 1992 | 41 | |
| 10 | 1991 | 23 | |
| 11 | 1998 | 22 | |
| 12 | 1999 | 21 | |
| 13 | 1991 | 21 | |
| 14 | 2001 | 8 |
About D.S. Hwang
D.S. Hwang is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 14 papers that have together received 838 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), DNA Repair Mechanisms (11 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Enzyme Structure and Function (2 papers), Mitochondrial Function and Pathology (2 papers), RNA and protein synthesis mechanisms (2 papers) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Genetics (547 citations), Molecular Medicine (77 citations), Endocrinology (54 citations), Molecular Biology (669 citations) and Cardiology and Cardiovascular Medicine (88 citations). D.S. Hwang has collaborated with scholars based in United States, South Korea and Armenia. Frequent co-authors include A Kornberg, Beat Thöny, Jon M. Kaguni, Elliott Crooke, Kirsten Skarstad, Hugh Watkins, Ludwig Thierfelder, J G Seidman, William J. McKenna and Christine E. Seidman. Their work appears in journals such as Journal of Biological Chemistry, Molecular Genetics and Genomics, Research in Microbiology, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.