Peter M. Hwang
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Biochemical and Structural Characterization
Papers in
-
- Antimicrobial Peptides and Activities 5
- Co-authors
- Hans J. VogelLewis E. KayVitali TugarinovJason E. OllerenshawBrian D. SykesDavid SchibliRussell E. BishopGilbert G. Privé
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Biochemistry (4 papers)Protein Expression and Purification (3 papers)FEBS Letters (3 papers)Journal of Biomolecular NMR (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Peter M. Hwang
48 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 108
- Microbiology 670
- Molecular Biology 2.4k
- Spectroscopy 460
- Molecular Medicine 88
- Biophysics 100
Countries citing papers authored by Peter M. Hwang
This map shows the geographic impact of Peter M. 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 Peter M. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Hwang more than expected).
Fields of papers citing papers by Peter M. Hwang
This network shows the impact of papers produced by Peter M. 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 Peter M. Hwang. The network helps show where Peter M. Hwang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter M. 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 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 7 | |
| 13 | 2015 | 10 | |
| 14 | 2015 | 95 | |
| 15 | 2015 | 87 | |
| 16 | 2012 | 27 | |
| 17 | 2005 | 28 | |
| 18 | 2004 | 84 | |
| 19 | 2001 | 37 | |
| 20 | 2000 | 25 |
About Peter M. Hwang
Peter M. Hwang is a scholar working on Molecular Medicine, Microbiology, Endocrinology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Cardiomyopathy and Myosin Studies (9 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (9 papers), Lipid Membrane Structure and Behavior (7 papers), Bacterial Genetics and Biotechnology (7 papers), Signaling Pathways in Disease (6 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Microbiology (670 citations), Molecular Biology (2.4k citations), Spectroscopy (460 citations), Molecular Medicine (88 citations) and Biophysics (100 citations). Peter M. Hwang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Hans J. Vogel, Lewis E. Kay, Vitali Tugarinov, Jason E. Ollerenshaw, Brian D. Sykes, David Schibli, Russell E. Bishop, Gilbert G. Privé, Lu Chen and Monica X. Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry, Protein Expression and Purification, FEBS Letters and Journal of Biomolecular NMR.
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.