Ningning Wang

954 citations
27 papers · 825 · h-index 12

Impact in

Papers in

Ningning Wang

24 papers receiving 819 citations

Peers

Ningning Wang
Comparison fields: 5 of 97
  • Biomaterials 237
  • Biomedical Engineering 451
  • Immunology 124
  • Pharmaceutical Science 35
  • Molecular Medicine 25
Replace Jan‐Niklas May with:
Jan‐Niklas May Germany
Matin Chehelgerdi Iran
Xujuan Yang United States
Sabina Quader Japan
Roxana Yolanda Castillo-Acobo Peru
Mabrouk A. Abo‐Zaid Saudi Arabia
Mohamed J. Saadh Jordan
Neha Gupta India
Dong Mei China
Yongkai Cao China
Ningning Wang relative to Jan‐Niklas May Germany Jan‐Niklas May's profile →
Citations per field
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Jan‐Niklas May · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021150
2 2020147
3 2020138
4 2021131
5 202049
6 201844
7 201430
8 202123
9 201919
10 202117
11 202316
12 202312
13 202110
14 20209
15 20237
16 20117
17 20213
18 20203
19 20243
20 20232

About Ningning Wang

Ningning Wang is a scholar working on Molecular Biology, Biomedical Engineering, Computer Networks and Communications, Pharmacology and Neurology, having authored 27 papers that have together received 825 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Microbial Natural Products and Biosynthesis (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Photodynamic Therapy Research Studies (3 papers), Caching and Content Delivery (2 papers), graph theory and CDMA systems (2 papers), Advanced Data Storage Technologies (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Biomaterials (237 citations), Biomedical Engineering (451 citations), Immunology (124 citations), Pharmaceutical Science (35 citations) and Molecular Medicine (25 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, Qian Li and Jing Zhang. Their work appears in journals such as Chemical Communications, IEEE Transactions on Information Theory, Oncology Reports, RSC Advances and Nature Communications.

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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