Na Wei

2.0k citations
108 papers · 1.4k indexed · h-index 23

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
    • Nanoparticle-Based Drug Delivery

Papers in

    • Autoimmune and Inflammatory Disorders Research 15
    • Nanoparticle-Based Drug Delivery 11

Na Wei

94 papers receiving 1.3k citations

Peers

Na Wei
Comparison fields: 5 of 113
  • Hematology 220
  • Biomaterials 215
  • Pharmaceutical Science 84
  • Immunology 237
  • Cancer Research 145
Replace Yanira Riffo‐Vasquez with:
Yanira Riffo‐Vasquez United Kingdom
Raheleh Farahzadi Iran
Rothwelle J. Tate United Kingdom
László Dézsi Hungary
Yunyun Xu China
Zhengquan Yu China
Li‐Wen Hsu Taiwan
Roberta Piva Italy
Houyuan Hu China
Diane Agay France
Na Wei relative to Yanira Riffo‐Vasquez United Kingdom Yanira Riffo‐Vasquez's profile →
Citations per field
00.5×3.0×
Yanira Riffo‐Vasquez · 1×
Citations per year

Countries citing papers authored by Na Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Na Wei Line = papers co-authored together Na Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20250
4 20242
5 20242
6 20244
7 20232
8 202119
9 202015
10 201933
11 201836
12 20161
13 20160
14 20162
15 201629
16 201543
17 20140
18 201470
19
Evaluation of neurological examination and cognitive functional on experimental cerebral ischemia
20122
20
[Pharmacodynamics, pharmacokinetics and tissue distribution of liposomal mitoxantrone hydrochloride].
201010

About Na Wei

Na Wei is a scholar working on Hematology, Biomaterials, Behavioral Neuroscience, Oncology and Immunology, having authored 108 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (15 papers), Immune Cell Function and Interaction (13 papers), Nanoparticle-Based Drug Delivery (11 papers), Parvovirus B19 Infection Studies (9 papers), RNA Interference and Gene Delivery (6 papers), Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Hematology (220 citations), Biomaterials (215 citations), Pharmaceutical Science (84 citations), Immunology (237 citations) and Cancer Research (145 citations). Na Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include JingXia Cui, Yini Wang, Chunlei Li, Zhao Wang, Yanhui Li, Caixia Wang, Xinan Cen, Liangding Hu, Jijun Wang and Lihong Li. Their work appears in journals such as Blood, International Journal of Pharmaceutics, International Immunopharmacology, Journal of Pharmacy and Pharmacology and Journal of Pharmaceutical Sciences.

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.

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