Yan Lan
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Graphene research and applications 2
-
- Plasma Applications and Diagnostics 4
- Co-authors
- Sudhir Verma (1 shared paper)Diane J. Burgess (1 shared paper)Rajeev Gokhale (1 shared paper)Cheng Cheng (7 shared papers)Yunfei Yan (2 shared papers)Zhongqing Yang (2 shared papers)Changyu Shen (2 shared papers)Kun Dai (2 shared papers)
- Journals
- Surfaces and Interfaces (1 paper)International Journal of Pharmaceutics (1 paper)Regulatory Toxicology and Pharmacology (1 paper)Environmental Science and Pollution Research (1 paper)Statistics in Biopharmaceutical Research (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Yan Lan
16 papers receiving 617 citations
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 108
- Polymers and Plastics 132
- Renewable Energy, Sustainability and the Environment 87
- Materials Chemistry 206
- Ocean Engineering 60
Countries citing papers authored by Yan Lan
This map shows the geographic impact of Yan Lan'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 Yan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Lan more than expected).
Fields of papers citing papers by Yan Lan
This network shows the impact of papers produced by Yan Lan. 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 Yan Lan. The network helps show where Yan Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Lan, 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 | 2009 | 165 | |
| 2 | 2016 | 163 | |
| 3 | 2018 | 106 | |
| 4 | 2011 | 61 | |
| 5 | 2018 | 45 | |
| 6 | 2022 | 20 | |
| 7 | 2000 | 18 | |
| 8 | 2022 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2012 | 1 |
About Yan Lan
Yan Lan is a scholar working on Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Renewable Energy, Sustainability and the Environment, Mechanics of Materials and Catalysis, having authored 16 papers that have together received 633 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (4 papers), Advanced Photocatalysis Techniques (4 papers), Analytical chemistry methods development (2 papers), Graphene research and applications (2 papers), Drug Solubulity and Delivery Systems (1 paper), Animal Nutrition and Physiology (1 paper), CO2 Sequestration and Geologic Interactions (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in Pharmaceutical Science (108 citations), Polymers and Plastics (132 citations), Renewable Energy, Sustainability and the Environment (87 citations), Materials Chemistry (206 citations) and Ocean Engineering (60 citations). Yan Lan has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Sudhir Verma, Diane J. Burgess, Rajeev Gokhale, Cheng Cheng, Yunfei Yan, Zhongqing Yang, Changyu Shen, Kun Dai, Chuntai Liu and Li Zhang. Their work appears in journals such as Surfaces and Interfaces, International Journal of Pharmaceutics, Regulatory Toxicology and Pharmacology, Environmental Science and Pollution Research and Statistics in Biopharmaceutical Research.
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.