Nan Wang
Impact in
- Biological Psychiatry top 5%
- Neurology top 2%
Papers in
-
- Connexins and lens biology 10
- Ginseng Biological Effects and Applications 9
- Natural product bioactivities and synthesis 9
- Bone Metabolism and Diseases 8
- Physiology 46
- Adipose Tissue and Metabolism 13
- Lysosomal Storage Disorders Research 8
- Biochemical effects in animals 8
- Co-authors
- Luc Leybaert (10 shared papers)Colm Durkan (3 shared papers)Marijke De Bock (8 shared papers)Guixue Wang (2 shared papers)Yazhou Wang (1 shared paper)Tieying Yin (1 shared paper)Wei Wang (1 shared paper)En-Guang Zhao (5 shared papers)
- Journals
- American Journal of Hematology (4 papers)Scientific Reports (3 papers)Annals of Translational Medicine (3 papers)Marine Drugs (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Nan Wang
274 papers receiving 6.6k citations
Nan Wang's Hit Papers
Peers
Comparison fields: 5 of 163
- Biological Psychiatry 125
- Neurology 320
- Molecular Biology 2.5k
- Physiology 858
- Cancer Research 475
Countries citing papers authored by Nan Wang
This map shows the geographic impact of Nan Wang'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 Nan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Wang more than expected).
Fields of papers citing papers by Nan Wang
This network shows the impact of papers produced by Nan Wang. 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 Nan Wang. The network helps show where Nan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Wang, 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 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent advancements in the use of exosomes as drug delivery systems Hit paper breakdown → | 2018 | 477 |
| 2 | 2017 | 236 | |
| 3 | 2020 | 204 | |
| 4 | 2009 | 164 | |
| 5 | 2014 | 157 | |
| 6 | 2013 | 148 | |
| 7 | 2015 | 140 | |
| 8 | 2012 | 132 | |
| 9 | 2011 | 130 | |
| 10 | 2015 | 122 | |
| 11 | 2020 | 98 | |
| 12 | 2016 | 95 | |
| 13 | 2017 | 94 | |
| 14 | 2010 | 92 | |
| 15 | 2018 | 85 | |
| 16 | 2015 | 84 | |
| 17 | 2020 | 79 | |
| 18 | 2018 | 77 | |
| 19 | 2013 | 74 | |
| 20 | 2021 | 73 |
About Nan Wang
Nan Wang is a scholar working on Molecular Biology, Physiology, Oncology, Infectious Diseases and Cell Biology, having authored 304 papers that have together received 6.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Connexins and lens biology (10 papers), Ginseng Biological Effects and Applications (9 papers), Natural product bioactivities and synthesis (9 papers), Lysosomal Storage Disorders Research (8 papers), Parasitic Diseases Research and Treatment (8 papers), Biochemical effects in animals (8 papers) and Bone Metabolism and Diseases (8 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Neurology (320 citations), Molecular Biology (2.5k citations), Physiology (858 citations) and Cancer Research (475 citations). Nan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Luc Leybaert, Colm Durkan, Marijke De Bock, Guixue Wang, Yazhou Wang, Tieying Yin, Wei Wang, En-Guang Zhao, Geert Bultynck and W. Scheid. Their work appears in journals such as American Journal of Hematology, Scientific Reports, Annals of Translational Medicine, Marine Drugs and PLoS ONE.
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.