Haichen Nie
Impact in
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in
-
- Drug Solubulity and Delivery Systems 17
-
- Crystallization and Solubility Studies 7
- Co-authors
- Stephen R. Byrn (12 shared papers)Lynne S. Taylor (6 shared papers)Joseph W. Lubach (3 shared papers)Yang Song (2 shared papers)Qi Zhou (4 shared papers)Patrick J. Marsac (5 shared papers)Xin Chen (1 shared paper)Xinghao Yang (1 shared paper)
- Journals
- Molecular Pharmaceutics (9 papers)International Journal of Pharmaceutics (5 papers)Pharmaceutical Research (5 papers)AAPS PharmSciTech (3 papers)Journal of Pharmaceutical Sciences (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haichen Nie
31 papers receiving 889 citations
Peers
Comparison fields: 5 of 85
- Pharmaceutical Science 442
- Spectroscopy 194
- Analytical Chemistry 99
- Physical and Theoretical Chemistry 66
- Food Science 117
Countries citing papers authored by Haichen Nie
This map shows the geographic impact of Haichen Nie'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 Haichen Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichen Nie more than expected).
Fields of papers citing papers by Haichen Nie
This network shows the impact of papers produced by Haichen Nie. 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 Haichen Nie. The network helps show where Haichen Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Haichen Nie, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 126 | |
| 2 | 2020 | 80 | |
| 3 | 2016 | 77 | |
| 4 | 2018 | 76 | |
| 5 | 2015 | 62 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 55 | |
| 8 | 2015 | 48 | |
| 9 | 2017 | 47 | |
| 10 | 2016 | 41 | |
| 11 | 2018 | 36 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2020 | 15 | |
| 16 | 2023 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2022 | 9 |
About Haichen Nie
Haichen Nie is a scholar working on Pharmaceutical Science, Materials Chemistry, Spectroscopy, Molecular Biology and Analytical Chemistry, having authored 34 papers that have together received 896 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (17 papers), Crystallization and Solubility Studies (7 papers), Advanced NMR Techniques and Applications (5 papers), Protein purification and stability (5 papers), Analytical Methods in Pharmaceuticals (4 papers), Analytical Chemistry and Chromatography (4 papers), Microencapsulation and Drying Processes (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Pharmaceutical Science (442 citations), Spectroscopy (194 citations), Analytical Chemistry (99 citations), Physical and Theoretical Chemistry (66 citations) and Food Science (117 citations). Haichen Nie has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Stephen R. Byrn, Lynne S. Taylor, Joseph W. Lubach, Yang Song, Qi Zhou, Patrick J. Marsac, Xin Chen, Xinghao Yang, Dmitry Zemlyanov and Yang Song. Their work appears in journals such as Molecular Pharmaceutics, International Journal of Pharmaceutics, Pharmaceutical Research, AAPS PharmSciTech and Journal of Pharmaceutical Sciences.
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.