Jun Dai
Impact in
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry top 2%
- Chromatography in Natural Products
Papers in
-
- Protein purification and stability 8
-
- Microfluidic and Capillary Electrophoresis Applications 12
- Co-authors
- Peter W. Carr (8 shared papers)Yingru Zhang (7 shared papers)Xiqin Yang (2 shared papers)Qiangwei Xia (2 shared papers)Jared Lamp (1 shared paper)Xiqin Yang (1 shared paper)Shaun D. Mendonsa (1 shared paper)Michael T. Bowser (1 shared paper)
- Journals
- Journal of Chromatography A (8 papers)Analytical Chemistry (3 papers)International Journal of Biological Macromolecules (2 papers)Journal of Food Engineering (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jun Dai
37 papers receiving 704 citations
Peers
Comparison fields: 5 of 93
- Spectroscopy 442
- Analytical Chemistry 177
- Biomedical Engineering 350
- Filtration and Separation 14
- Radiology, Nuclear Medicine and Imaging 96
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Jun Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2003 | 99 | |
| 3 | 2005 | 90 | |
| 4 | 2005 | 56 | |
| 5 | 2003 | 51 | |
| 6 | 2010 | 46 | |
| 7 | 2018 | 42 | |
| 8 | 2009 | 29 | |
| 9 | 2013 | 26 | |
| 10 | 2009 | 23 | |
| 11 | 2003 | 23 | |
| 12 | 2006 | 20 | |
| 13 | 2017 | 15 | |
| 14 | 2002 | 13 | |
| 15 | 2007 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2009 | 8 | |
| 20 | 2017 | 6 |
About Jun Dai
Jun Dai is a scholar working on Molecular Biology, Biomedical Engineering, Spectroscopy, Analytical Chemistry and Materials Chemistry, having authored 41 papers that have together received 748 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (12 papers), Analytical Chemistry and Chromatography (10 papers), Protein purification and stability (8 papers), Chromatography in Natural Products (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Proteins in Food Systems (3 papers), Pickering emulsions and particle stabilization (3 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Spectroscopy (442 citations), Analytical Chemistry (177 citations), Biomedical Engineering (350 citations), Filtration and Separation (14 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Jun Dai has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Peter W. Carr, Yingru Zhang, Xiqin Yang, Qiangwei Xia, Jared Lamp, Xiqin Yang, Shaun D. Mendonsa, Michael T. Bowser, Charles A. Lucy and David V. McCalley. Their work appears in journals such as Journal of Chromatography A, Analytical Chemistry, International Journal of Biological Macromolecules, Journal of Food Engineering 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.