Peter K. Hwang
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Rheumatology top 2%
- Glycogen Storage Diseases and Myoclonus
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Biochemical and Structural Characterization 6
- Lipid Membrane Structure and Behavior 5
- Cell Biology 17
- Cellular transport and secretion 9
- Co-authors
- Robert J. Fletterick (26 shared papers)Christopher B. Newgard (3 shared papers)Frances M. Brodsky (10 shared papers)Jonathan Greer (2 shared papers)K. Nakano (2 shared papers)Brian J. Mitchell (2 shared papers)Michael E. Werner (2 shared papers)Stuart Tugendreich (2 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Traffic (4 papers)Proceedings of the National Academy of Sciences (3 papers)Bioconjugate Chemistry (2 papers)Developmental Cell (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Peter K. Hwang
44 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 679
- Rheumatology 331
- Molecular Biology 1.5k
- Biotechnology 143
- Genetics 422
Countries citing papers authored by Peter K. Hwang
This map shows the geographic impact of Peter K. 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 K. 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 K. Hwang more than expected).
Fields of papers citing papers by Peter K. Hwang
This network shows the impact of papers produced by Peter K. 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 K. Hwang. The network helps show where Peter K. Hwang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter K. 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 337 | |
| 2 | 2011 | 152 | |
| 3 | 1999 | 123 | |
| 4 | 2013 | 112 | |
| 5 | 1986 | 96 | |
| 6 | 2008 | 85 | |
| 7 | 1989 | 85 | |
| 8 | 1986 | 79 | |
| 9 | 2013 | 78 | |
| 10 | 1980 | 77 | |
| 11 | 1996 | 72 | |
| 12 | 1987 | 70 | |
| 13 | 2008 | 67 | |
| 14 | 2010 | 63 | |
| 15 | 1986 | 62 | |
| 16 | 2006 | 61 | |
| 17 | 2009 | 54 | |
| 18 | 1998 | 53 | |
| 19 | 1995 | 50 | |
| 20 | 2003 | 46 |
About Peter K. Hwang
Peter K. Hwang is a scholar working on Molecular Biology, Cell Biology, Rheumatology, Genetics and Biotechnology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Cellular transport and secretion (9 papers), Biochemical and Structural Characterization (6 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Lipid Membrane Structure and Behavior (5 papers), Enzyme Production and Characterization (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Cell Biology (679 citations), Rheumatology (331 citations), Molecular Biology (1.5k citations), Biotechnology (143 citations) and Genetics (422 citations). Peter K. Hwang has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Robert J. Fletterick, Christopher B. Newgard, Frances M. Brodsky, Jonathan Greer, K. Nakano, Brian J. Mitchell, Michael E. Werner, Stuart Tugendreich, Kai Lin and Jeremy Wilbur. Their work appears in journals such as Journal of Biological Chemistry, Traffic, Proceedings of the National Academy of Sciences, Bioconjugate Chemistry and Developmental Cell.
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.