Wei Fan
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
-
- RNA Interference and Gene Delivery 6
- Phytochemical Studies and Bioactivities 5
- Biomaterials 19
- Nanoparticle-Based Drug Delivery 11
- Co-authors
- Chalet Tan (5 shared papers)Yingzhe Wang (5 shared papers)Jered C. Garrison (15 shared papers)Wenting Zhang (12 shared papers)Alan R. Katritzky (4 shared papers)Wenyuan Gao (9 shared papers)Shuli Man (8 shared papers)Juliusz Pernak (2 shared papers)
- Journals
- The Journal of Organic Chemistry (4 papers)Molecular Pharmaceutics (4 papers)Chinese Journal of Natural Medicines (3 papers)European Journal of Medicinal Chemistry (3 papers)Chinese Chemical Letters (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Fan
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Biomaterials 352
- Reproductive Medicine 81
- Cancer Research 138
- Pharmaceutical Science 59
- Organic Chemistry 260
Countries citing papers authored by Wei Fan
This map shows the geographic impact of Wei Fan'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 Wei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fan more than expected).
Fields of papers citing papers by Wei Fan
This network shows the impact of papers produced by Wei Fan. 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 Wei Fan. The network helps show where Wei Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Fan, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 117 | |
| 2 | 2010 | 88 | |
| 3 | 2014 | 60 | |
| 4 | 2013 | 54 | |
| 5 | 1991 | 53 | |
| 6 | 2019 | 51 | |
| 7 | 2017 | 46 | |
| 8 | 1992 | 46 | |
| 9 | 2014 | 44 | |
| 10 | 2011 | 42 | |
| 11 | 2017 | 42 | |
| 12 | 2015 | 42 | |
| 13 | 2013 | 39 | |
| 14 | 2011 | 36 | |
| 15 | 1992 | 36 | |
| 16 | 2016 | 31 | |
| 17 | 2013 | 31 | |
| 18 | 2015 | 30 | |
| 19 | 2021 | 30 | |
| 20 | 2016 | 29 |
About Wei Fan
Wei Fan is a scholar working on Molecular Biology, Biomaterials, Oncology, Organic Chemistry and Biomedical Engineering, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (11 papers), Nanoplatforms for cancer theranostics (8 papers), Peptidase Inhibition and Analysis (7 papers), RNA Interference and Gene Delivery (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Phytochemical Studies and Bioactivities (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Biomaterials (352 citations), Reproductive Medicine (81 citations), Cancer Research (138 citations), Pharmaceutical Science (59 citations) and Organic Chemistry (260 citations). Wei Fan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chalet Tan, Yingzhe Wang, Jered C. Garrison, Wenting Zhang, Alan R. Katritzky, Wenyuan Gao, Shuli Man, Juliusz Pernak, Yan Wang and Shangwei Li. Their work appears in journals such as The Journal of Organic Chemistry, Molecular Pharmaceutics, Chinese Journal of Natural Medicines, European Journal of Medicinal Chemistry and Chinese Chemical Letters.
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.