Haichen Nie
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems 18
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications 5
- Analytical Chemistry and Chromatography 4
- Analytical Chemistry top 5%
- Analytical Methods in Pharmaceuticals 4
- Food Science top 10%
- Microencapsulation and Drying Processes 4
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- Crystallization and Solubility Studies 7
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- Protein purification and stability 5
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- Spectroscopy Techniques in Biomedical and Chemical Research 3
- Co-authors
- Stephen R. ByrnLynne S. TaylorJoseph W. LubachYang SongQi ZhouPatrick J. MarsacXin ChenXinghao Yang
- Journals
- Molecular Pharmaceutics (9 papers)International Journal of Pharmaceutics (5 papers)Pharmaceutical Research (4 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haichen Nie
29 papers receiving 828 citations
Peers
Comparison fields: 5 of 86
- Pharmaceutical Science 431
- Spectroscopy 191
- Analytical Chemistry 93
- Physical and Theoretical Chemistry 68
- Food Science 122
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 72 | |
| 13 | 2018 | 31 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 72 | |
| 16 | 2016 | 21 | |
| 17 | 2016 | 39 | |
| 18 | 2015 | 45 | |
| 19 | 2015 | 60 | |
| 20 | 2015 | 124 |
About Haichen Nie
Haichen Nie is a scholar working on Pharmaceutical Science, Analytical Chemistry, Spectroscopy, Biophysics and Food Science, having authored 32 papers that have together received 833 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (18 papers), Crystallization and Solubility Studies (7 papers), Protein purification and stability (5 papers), Advanced NMR Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (4 papers), Microencapsulation and Drying Processes (4 papers), Analytical Methods in Pharmaceuticals (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (3 papers). The work is most often cited by research in Pharmaceutical Science (431 citations), Spectroscopy (191 citations), Analytical Chemistry (93 citations), Physical and Theoretical Chemistry (68 citations) and Food Science (122 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, Journal of Pharmaceutical Sciences and AAPS PharmSciTech.
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.