Jin Hee Na
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
Papers in
-
- Nanoplatforms for cancer theranostics 16
- Biomaterials 15
- Nanoparticle-Based Drug Delivery 15
- Co-authors
- Ick Chan Kwon (30 shared papers)Kwangmeyung Kim (28 shared papers)Seo Young Jeong (15 shared papers)Kuiwon Choi (17 shared papers)Heebeom Koo (15 shared papers)Jae Hyung Park (9 shared papers)Sangmin Lee (8 shared papers)Kyung Hyun Min (4 shared papers)
- Journals
- Journal of Controlled Release (4 papers)Biomaterials (4 papers)Molecular Pharmaceutics (3 papers)Scientific Reports (2 papers)Archives of Biochemistry and Biophysics (2 papers)
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Jin Hee Na
49 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 124
- Biomaterials 921
- Pharmaceutical Science 177
- Biomedical Engineering 1.0k
- Biotechnology 128
- Molecular Medicine 72
Countries citing papers authored by Jin Hee Na
This map shows the geographic impact of Jin Hee Na'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 Jin Hee Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Hee Na more than expected).
Fields of papers citing papers by Jin Hee Na
This network shows the impact of papers produced by Jin Hee Na. 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 Jin Hee Na. The network helps show where Jin Hee Na may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Hee Na, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 243 | |
| 2 | 2009 | 240 | |
| 3 | 2014 | 170 | |
| 4 | 2012 | 167 | |
| 5 | 2012 | 124 | |
| 6 | 2009 | 123 | |
| 7 | 2017 | 122 | |
| 8 | 2011 | 108 | |
| 9 | 2013 | 99 | |
| 10 | 2012 | 91 | |
| 11 | 2016 | 77 | |
| 12 | 2017 | 63 | |
| 13 | 2014 | 60 | |
| 14 | 2014 | 59 | |
| 15 | 2016 | 59 | |
| 16 | 2013 | 59 | |
| 17 | 2017 | 49 | |
| 18 | 2013 | 47 | |
| 19 | 2012 | 46 | |
| 20 | 2012 | 40 |
About Jin Hee Na
Jin Hee Na is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Nanoparticle-Based Drug Delivery (15 papers), Face and Expression Recognition (9 papers), RNA Interference and Gene Delivery (8 papers), Click Chemistry and Applications (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Biomaterials (921 citations), Pharmaceutical Science (177 citations), Biomedical Engineering (1.0k citations), Biotechnology (128 citations) and Molecular Medicine (72 citations). Jin Hee Na has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Ick Chan Kwon, Kwangmeyung Kim, Seo Young Jeong, Kuiwon Choi, Heebeom Koo, Jae Hyung Park, Sangmin Lee, Kyung Hyun Min, Sun Hwa Kim and Ki Young Choi. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Molecular Pharmaceutics, Scientific Reports and Archives of Biochemistry and Biophysics.
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.