Ning Wang

3.9k citations
164 papers · 3.1k · h-index 24

Impact in

Papers in

Ning Wang

146 papers receiving 3.0k citations

Peers

Ning Wang
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 788
  • Biological Psychiatry 94
  • Clinical Biochemistry 225
  • Neurology 248
  • Neurology 409
Replace Miryam Carecchio with:
Miryam Carecchio Italy
Charalampos Tzoulis Norway
Marion L. C. Maat–Schieman Netherlands
David T. Winkler Switzerland
Pasi Tavi Finland
Viorica Chelban United Kingdom
Mark H. G. Verheijen Netherlands
Sumiko Kiryu‐Seo Japan
Antonio Martinez-Hernandez United States
Miles C. Miller United States
Ning Wang relative to Miryam Carecchio Italy Miryam Carecchio's profile →
Citations per field
00.5×2×2.9×
Miryam Carecchio · 1×
Citations per year

Countries citing papers authored by Ning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005659
2 2011391
3 2009132
4 2018130
5 201174
6 201071
7 201867
8 201750
9 200644
10 202241
11 201038
12 201938
13 201637
14 201933
15 201529
16 201628
17 201928
18 201327
19 201527
20 202227

About Ning Wang

Ning Wang is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Neurology and Clinical Biochemistry, having authored 164 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (25 papers), Muscle Physiology and Disorders (22 papers), Hereditary Neurological Disorders (16 papers), Neurogenetic and Muscular Disorders Research (16 papers), Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (788 citations), Biological Psychiatry (94 citations), Clinical Biochemistry (225 citations), Neurology (248 citations) and Neurology (409 citations). Ning Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi‐Ying Wu, Wan‐Jin Chen, Hong Wei Xu, Guy M. McKhann, Xi Chen, David M. Stern, Jun Yao, Casper S. Caspersen, Alexander A. Sosunov and Shi Du Yan. Their work appears in journals such as Annals of Clinical and Translational Neurology, Frontiers in Neurology, Brain, Neurological Sciences and CNS Neuroscience & Therapeutics.

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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