Yingqing Ran
Impact in
- Pharmaceutical Science top 2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Filtration and Separation top 5%
Papers in
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- Protein purification and stability 4
- Melanoma and MAPK Pathways 2
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- Drug Solubulity and Delivery Systems 7
- Co-authors
- Samuel H. Yalkowsky (8 shared papers)Neera Jain (1 shared paper)Akash Jain (2 shared papers)Gang Yang (1 shared paper)Jennifer L. H. Johnson (1 shared paper)Yan He (1 shared paper)Po‐Chang Chiang (6 shared papers)Luwei Zhao (1 shared paper)
- Journals
- Journal of Pharmaceutical Sciences (4 papers)AAPS PharmSciTech (4 papers)Journal of Medicinal Chemistry (2 papers)Nanoscale Research Letters (2 papers)Chemosphere (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Yingqing Ran
21 papers receiving 917 citations
Peers
Comparison fields: 5 of 103
- Pharmaceutical Science 225
- Filtration and Separation 43
- Computational Theory and Mathematics 274
- Spectroscopy 266
- Pharmacology 79
Countries citing papers authored by Yingqing Ran
This map shows the geographic impact of Yingqing Ran'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 Yingqing Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingqing Ran more than expected).
Fields of papers citing papers by Yingqing Ran
This network shows the impact of papers produced by Yingqing Ran. 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 Yingqing Ran. The network helps show where Yingqing Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingqing Ran, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 162 | |
| 2 | 2001 | 121 | |
| 3 | 2002 | 112 | |
| 4 | 2006 | 95 | |
| 5 | 2007 | 95 | |
| 6 | 2004 | 55 | |
| 7 | 2001 | 51 | |
| 8 | 2002 | 43 | |
| 9 | 2012 | 36 | |
| 10 | 2011 | 34 | |
| 11 | 2010 | 32 | |
| 12 | 2013 | 28 | |
| 13 | 2004 | 23 | |
| 14 | 2011 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2003 | 14 | |
| 17 | 2014 | 12 | |
| 18 | 2017 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2012 | 5 |
About Yingqing Ran
Yingqing Ran is a scholar working on Molecular Biology, Pharmaceutical Science, Spectroscopy, Oncology and Materials Chemistry, having authored 22 papers that have together received 982 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Analytical Chemistry and Chromatography (7 papers), Crystallization and Solubility Studies (5 papers), Protein purification and stability (4 papers), Computational Drug Discovery Methods (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Analytical Methods in Pharmaceuticals (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Pharmaceutical Science (225 citations), Filtration and Separation (43 citations), Computational Theory and Mathematics (274 citations), Spectroscopy (266 citations) and Pharmacology (79 citations). Yingqing Ran has collaborated with scholars based in United States, France and China. Frequent co-authors include Samuel H. Yalkowsky, Neera Jain, Akash Jain, Gang Yang, Jennifer L. H. Johnson, Yan He, Po‐Chang Chiang, Gang Yang, Luwei Zhao and Kang-Jye Chou. Their work appears in journals such as Journal of Pharmaceutical Sciences, AAPS PharmSciTech, Journal of Medicinal Chemistry, Nanoscale Research Letters and Chemosphere.
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.