Jason J. Han
- Materials Chemistry top 5%
- Molecular Biology
- Electronic, Optical and Magnetic Materials top 5%
- Organic Chemistry top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Alexander D. Q. LiMing‐Qiang ZhuJames H. WernerWuwei WuLinyong ZhuJames K. HurstHsin‐Chih YehJennifer S. Martinez
- Topics
- Advanced biosensing and bioanalysis techniques (7 papers)Nanocluster Synthesis and Applications (4 papers)Gold and Silver Nanoparticles Synthesis and Applications (4 papers)
- Cited by
- Materials ChemistryElectronic, Optical and Magnetic MaterialsCellular and Molecular Neuroscience
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jason J. Han
19 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Materials Chemistry 1.5k
- Molecular Biology 672
- Electronic, Optical and Magnetic Materials 417
- Organic Chemistry 344
- Cellular and Molecular Neuroscience 316
Countries citing papers authored by Jason J. Han
This map shows the geographic impact of Jason J. Han'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 Jason J. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason J. Han more than expected).
Fields of papers citing papers by Jason J. Han
This network shows the impact of papers produced by Jason J. Han. 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 Jason J. Han. The network helps show where Jason J. Han may publish in the future.
Co-authorship network of co-authors of Jason J. Han
This figure shows the co-authorship network connecting the top 25 collaborators of Jason J. Han. A scholar is included among the top collaborators of Jason J. Han 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 Jason J. Han. Jason J. Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 42 | |
| 4 | 37 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | A DNA−Silver Nanocluster Probe That Fluoresces upon Hybridizationbreakdown → | 594 |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 63 | |
| 13 | 3 | |
| 14 | 326 | |
| 15 | 21 | |
| 16 | Size analysis of CdSe/ZnS quantum dots in aqueous solution by using laser-induced breakdown detection | 5 |
| 17 | 485 | |
| 18 | 37 | |
| 19 | 214 |
About Jason J. Han
Jason J. Han is a scholar working on Structural Biology, Biophysics and Materials Chemistry, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Nanocluster Synthesis and Applications (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Materials Chemistry (1.5k citations), Electronic, Optical and Magnetic Materials (417 citations) and Cellular and Molecular Neuroscience (316 citations). Jason J. Han has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Alexander D. Q. Li, Ming‐Qiang Zhu, James H. Werner, Wuwei Wu, Linyong Zhu, James K. Hurst, Hsin‐Chih Yeh, Jennifer S. Martinez, Jaswinder Sharma and Linsong Li. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nano Letters.
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.