Haichen Nie
Impact in
- Drug Discovery top 5%
- Pharmaceutical Science top 1%
- Drug Solubulity and Delivery Systems
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
Papers in
-
- Drug Solubulity and Delivery Systems 10
-
- Granular flow and fluidized beds 2
- Co-authors
- Stephen Robert Byrn (12 shared papers)Lynne S. Taylor (6 shared papers)Joseph W. Lubach (3 shared papers)Qi Tony Zhou (6 shared papers)Patrick Jules Marsac (5 shared papers)Dmitry Y. Zemlyanov (3 shared papers)Xin Chen (1 shared paper)Yongchao Su (5 shared papers)
- Journals
- Molecular Pharmaceutics (9 papers)Pharmaceutical Research (5 papers)International Journal of Pharmaceutics (5 papers)Journal of Pharmaceutical Sciences (3 papers)AAPS PharmSciTech (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haichen Nie
33 papers receiving 931 citations
Peers
Comparison fields: 5 of 39
- Drug Discovery 6
- Pharmaceutical Science 346
- Pulmonary and Respiratory Medicine 135
- Spectroscopy 56
- Biophysics 15
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2020 | 84 | |
| 3 | 2016 | 79 | |
| 4 | 2018 | 79 | |
| 5 | 2015 | 62 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 57 | |
| 8 | 2017 | 53 | |
| 9 | 2015 | 48 | |
| 10 | 2016 | 42 | |
| 11 | 2018 | 38 | |
| 12 | 2016 | 29 | |
| 13 | 2016 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2020 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2017 | 11 | |
| 20 | 2025 | 11 |
About Haichen Nie
Haichen Nie is a scholar working on Pharmaceutical Science, Computational Mechanics, Materials Chemistry, Analytical Chemistry and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 945 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (10 papers), Crystallization and Solubility Studies (3 papers), Granular flow and fluidized beds (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Intravenous Infusion Technology and Safety (1 paper), Protein purification and stability (1 paper) and Polysaccharides Composition and Applications (1 paper). The work is most often cited by research in Drug Discovery (6 citations), Pharmaceutical Science (346 citations), Pulmonary and Respiratory Medicine (135 citations), Spectroscopy (56 citations) and Biophysics (15 citations). Haichen Nie has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Stephen Robert Byrn, Lynne S. Taylor, Joseph W. Lubach, Qi Tony Zhou, Patrick Jules Marsac, Dmitry Y. Zemlyanov, Xin Chen, Yongchao Su, Sharad Mangal and Yang Song. Their work appears in journals such as Molecular Pharmaceutics, Pharmaceutical Research, International Journal of Pharmaceutics, 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.