Na Wei
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 5
- Hematology 21
- Autoimmune and Inflammatory Disorders Research 15
- Co-authors
- Yini Wang (10 shared papers)JingXia Cui (8 shared papers)Zhao Wang (10 shared papers)Chunlei Li (8 shared papers)Yanhui Li (7 shared papers)Caixia Wang (6 shared papers)Lihong Li (1 shared paper)Xinan Cen (3 shared papers)
- Journals
- Blood (6 papers)International Journal of Pharmaceutics (4 papers)International Immunopharmacology (3 papers)Journal of Pharmacy and Pharmacology (3 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Na Wei
99 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Hematology 233
- Biomaterials 221
- Pharmaceutical Science 85
- Immunology 196
- Cancer Research 120
Countries citing papers authored by Na Wei
This map shows the geographic impact of Na Wei'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 Na Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wei more than expected).
Fields of papers citing papers by Na Wei
This network shows the impact of papers produced by Na Wei. 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 Na Wei. The network helps show where Na Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Wei, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2015 | 93 | |
| 3 | 2014 | 73 | |
| 4 | 2016 | 57 | |
| 5 | 2023 | 56 | |
| 6 | 2012 | 49 | |
| 7 | 2015 | 43 | |
| 8 | 2021 | 42 | |
| 9 | 2008 | 41 | |
| 10 | 2018 | 39 | |
| 11 | 2014 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2018 | 36 | |
| 14 | 2019 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2014 | 34 | |
| 17 | 2015 | 32 | |
| 18 | 2016 | 30 | |
| 19 | 2011 | 27 | |
| 20 | 2009 | 26 |
About Na Wei
Na Wei is a scholar working on Molecular Biology, Hematology, Oncology, Infectious Diseases and Immunology, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (15 papers), Immune Cell Function and Interaction (10 papers), Nanoparticle-Based Drug Delivery (9 papers), Parvovirus B19 Infection Studies (7 papers), RNA Interference and Gene Delivery (5 papers), Cancer Treatment and Pharmacology (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Hematology (233 citations), Biomaterials (221 citations), Pharmaceutical Science (85 citations), Immunology (196 citations) and Cancer Research (120 citations). Na Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yini Wang, JingXia Cui, Zhao Wang, Chunlei Li, Yanhui Li, Caixia Wang, Lihong Li, Xinan Cen, Jijun Wang and Liangding Hu. Their work appears in journals such as Blood, International Journal of Pharmaceutics, International Immunopharmacology, Journal of Pharmacy and Pharmacology and Cardiovascular Diabetology.
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.