Ningning Wang

962 citations
25 papers · 835 · h-index 12

Impact in

Papers in

Ningning Wang

24 papers receiving 834 citations

Peers

Ningning Wang
Comparison fields: 5 of 93
  • Biomaterials 230
  • Biomedical Engineering 452
  • Immunology 112
  • Pharmaceutical Science 34
  • Molecular Medicine 24
Replace Zili Gu with:
Zili Gu Netherlands
Jan‐Niklas May Germany
Xujuan Yang United States
Xiyou Du China
Roxana Yolanda Castillo-Acobo Peru
Tamilanban Thamaraikani India
Mohamed J. Saadh Jordan
Yongkai Cao China
Neha Gupta India
Dong Mei China
Ningning Wang relative to Zili Gu Netherlands Zili Gu's profile →
Citations per field
00.5×3.2×
Zili Gu · 1×
Citations per year

Countries citing papers authored by Ningning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ningning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021154
2 2020152
3 2020138
4 2021135
5 202049
6 201844
7 201430
8 202123
9 202320
10 201919
11 202117
12 202311
13 202110
14 20209
15 20237
16 20213
17 20203
18 20243
19 20222
20 20232

About Ningning Wang

Ningning Wang is a scholar working on Biomedical Engineering, Molecular Biology, Computer Networks and Communications, Pharmacology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 835 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Photodynamic Therapy Research Studies (3 papers), Microbial Natural Products and Biosynthesis (3 papers), DNA and Biological Computing (2 papers), graph theory and CDMA systems (2 papers), Cooperative Communication and Network Coding (2 papers), Quantum Mechanics and Applications (2 papers) and Quantum Information and Cryptography (2 papers). The work is most often cited by research in Biomaterials (230 citations), Biomedical Engineering (452 citations), Immunology (112 citations), Pharmaceutical Science (34 citations) and Molecular Medicine (24 citations). Ningning Wang has collaborated with scholars based in China, Switzerland and Austria. Frequent co-authors include Yuxia Luan, Yaxin Zhou, Xiaomeng Ren, Aixin Song, Yue Jiang, Shiyao Zhou, Qi Shang, Qian Li, Jing Zhang and Qian Li. Their work appears in journals such as Chemical Communications, IEEE Transactions on Information Theory, Nature Communications, Optica and Frontiers in Neurology.

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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