Karl J. Hwang
- Molecular Biology
- Biomaterials top 10%
- Surgery
- Genetics top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Paul L. BeaumierHeebal KimHak Cheol KwonJ. KimJohn H. WiessnerSung Goo KangMarcia R. MaukRobert J. Fletterick
- Topics
- Lipid Membrane Structure and Behavior (9 papers)RNA Interference and Gene Delivery (4 papers)Nanoparticle-Based Drug Delivery (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Molecular BiologyAnalytical Biochemistry
- Partner nations
- United StatesSouth Korea
In The Last Decade
Karl J. Hwang
23 papers receiving 677 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 412
- Biomaterials 164
- Surgery 160
- Genetics 143
- Radiology, Nuclear Medicine and Imaging 83
Countries citing papers authored by Karl J. Hwang
This map shows the geographic impact of Karl J. 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 Karl J. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl J. Hwang more than expected).
Fields of papers citing papers by Karl J. Hwang
This network shows the impact of papers produced by Karl J. 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 Karl J. Hwang. The network helps show where Karl J. Hwang may publish in the future.
Co-authorship network of co-authors of Karl J. Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Karl J. Hwang. A scholar is included among the top collaborators of Karl J. Hwang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl J. Hwang. Karl J. Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 190 | |
| 2 | 11 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 40 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | Mechanism of ionophoric transport of indium-111 cations through a lipid bilayer membrane. | 8 |
| 12 | 52 | |
| 13 | 3 | |
| 14 | An efficient method for loading indium-111 into liposomes using acetylacetone. | 35 |
| 15 | 15 | |
| 16 | 74 | |
| 17 | Modes of interaction of (In3+)-8-hydroxyquinoline with membrane bilayer. | 30 |
| 18 | 38 | |
| 19 | 13 | |
| 20 | 46 |
About Karl J. Hwang
Karl J. Hwang is a scholar working on Bioengineering, Biomaterials and Molecular Biology, having authored 23 papers that have together received 711 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), RNA Interference and Gene Delivery (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). The work is most often cited by research in Genetics (143 citations), Biomaterials (164 citations) and Pharmaceutical Science (51 citations). Karl J. Hwang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Paul L. Beaumier, Heebal Kim, Hak Cheol Kwon, J. Kim, John H. Wiessner, Sung Goo Kang, Marcia R. Mauk, Robert J. Fletterick, Thomas A. Steitz and J. Lai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Analytical Biochemistry.
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.