Qingping Tian
- Organic Chemistry top 1%
- Molecular Biology
- Inorganic Chemistry top 10%
- Pharmaceutical Science top 5%
- Pharmacology
- Co-authors
- Richard C. LarockAlexandre A. PletnevQinhua HuangTuanli YaoMarino A. CampoMark J. DotyJohn M. ZennerLiwen Han
- Topics
- Catalytic Cross-Coupling Reactions (11 papers)Catalytic C–H Functionalization Methods (8 papers)Advancements in Transdermal Drug Delivery (8 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Qingping Tian
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Organic Chemistry 1.2k
- Molecular Biology 264
- Inorganic Chemistry 142
- Pharmaceutical Science 93
- Pharmacology 69
Countries citing papers authored by Qingping Tian
This map shows the geographic impact of Qingping Tian'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 Qingping Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingping Tian more than expected).
Fields of papers citing papers by Qingping Tian
This network shows the impact of papers produced by Qingping Tian. 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 Qingping Tian. The network helps show where Qingping Tian may publish in the future.
Co-authorship network of co-authors of Qingping Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Qingping Tian. A scholar is included among the top collaborators of Qingping Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingping Tian. Qingping Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 21 | |
| 10 | 26 | |
| 11 | 6 | |
| 12 | 42 | |
| 13 | 55 | |
| 14 | Influence of pH on physico-chemical property and penetrable performance of piroxicam through rat skin | 1 |
| 15 | 22 | |
| 16 | 20 | |
| 17 | Investigation of Microemulsion System for Transdermal Drug Delivery of Amphotericin B | 4 |
| 18 | [Application of genetic algorithm in formulation optimization of microemulsion for transdermal delivery]. | 1 |
| 19 | 16 | |
| 20 | 35 |
About Qingping Tian
Qingping Tian is a scholar working on Pharmaceutical Science, Organic Chemistry and Pharmacology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Catalytic Cross-Coupling Reactions (11 papers), Catalytic C–H Functionalization Methods (8 papers) and Advancements in Transdermal Drug Delivery (8 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Pharmaceutical Science (93 citations) and Inorganic Chemistry (142 citations). Qingping Tian has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Richard C. Larock, Alexandre A. Pletnev, Qinhua Huang, Tuanli Yao, Marino A. Campo, Mark J. Doty, John M. Zenner, Liwen Han, Qiuxia He and Yun Zhang. Their work appears in journals such as Journal of the American Chemical Society, Food Chemistry and Hypertension.
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.