Na Wu

3.5k citations
105 papers · 2.6k indexed · h-index 29

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Flame retardant materials and properties
    • Conducting polymers and applications

Papers in

Na Wu

100 papers receiving 2.6k citations

Peers

Na Wu
Comparison fields: 5 of 150
  • Cancer Research 606
  • Polymers and Plastics 351
  • Internal Medicine 70
  • Cardiology and Cardiovascular Medicine 371
  • Molecular Biology 991
Replace Satoshi Nagano with:
Satoshi Nagano Japan
Yung‐Chih Chen Taiwan
Andrew Goodwin United States
Piergiuseppe Colombo Italy
Qiang Zhao China
Peng Xu China
Yusuke Yamamoto Japan
Lü Long China
Yan Shen China
Avnesh S. Thakor United States
Na Wu relative to Satoshi Nagano Japan Satoshi Nagano's profile →
Citations per field
00.5×3.8×
Satoshi Nagano · 1×
Citations per year

Countries citing papers authored by Na Wu

Since Specialization
Citations

This map shows the geographic impact of Na Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wu more than expected).

Fields of papers citing papers by Na Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na Wu. 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 Wu. The network helps show where Na Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Na Wu, 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 Wu Line = papers co-authored together Na Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202521
3 20250
4 20245
5 20241
6 20247
7 202310
8 20224
9 202196
10 202011
11 201951
12 201848
13 201798
14 201740
15 201633
16 201664
17 201537
18 20141
19 20104
20
Expression and characterization of fusion protein RGD/tTF for targeting therapy of cancer
20061

About Na Wu

Na Wu is a scholar working on Cancer Research, Internal Medicine, Polymers and Plastics, Aging and Cardiology and Cardiovascular Medicine, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), Atrial Fibrillation Management and Outcomes (9 papers), RNA modifications and cancer (8 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (6 papers), Organic Electronics and Photovoltaics (5 papers), COVID-19 Clinical Research Studies (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Cancer Research (606 citations), Polymers and Plastics (351 citations), Internal Medicine (70 citations), Cardiology and Cardiovascular Medicine (371 citations) and Molecular Biology (991 citations). Na Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yafei Li, Ying Xiang, Long Wu, Rongjie Yang, Li Zhong, Chengying Li, Weijia Xie, Qingyun Liu, Xiangyu Ma and Zubin Yu. Their work appears in journals such as Scientific Reports, World Journal of Surgery, Canadian Journal of Cardiology, Cancer Biomarkers and International Journal of Cardiology.

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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