Ning Wang

3.6k citations
137 papers · 2.5k indexed · 1 hit paper · h-index 21

Ning Wang

124 papers receiving 2.5k citations

Hit Papers

Mitochondrial Aβ: a potential focal point for neuronal me...6262005202620122019200400600

Peers

Ning Wang
Comparison fields: 5 of 119
  • Biological Psychiatry 106
  • Cellular and Molecular Neuroscience 727
  • Clinical Biochemistry 228
  • Neurology 256
  • Neurology 406
Replace Cezary Żekanowski with:
Cezary Żekanowski Poland
Akiko Furuta Japan
Orest Hurko United States
Charalampos Tzoulis Norway
Marion L. C. Maat–Schieman Netherlands
Géraldine Liot France
Ghazaleh Ashrafi United States
Nicholas Rensing United States
Heather Mortiboys United Kingdom
Nicholas A. Di Prospero United States
Ning Wang relative to Cezary Żekanowski Poland Cezary Żekanowski's profile →
Citations per field
00.5×
Cezary Żekanowski · 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-authorship network

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
#Work
1 20250
2 20250
3 20251
4 20240
5 20240
6 20242
7 20239
8 20233
9 20233
10 20232
11 201910
12 201915
13 201897
14 201748
15 20126
16 20127
17 20101
18 20091
19 20091
20 20081

About Ning Wang

Ning Wang is a scholar working on Cellular and Molecular Neuroscience, Genetics, Neurology, Clinical Biochemistry and Neurology, having authored 137 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (25 papers), Mitochondrial Function and Pathology (21 papers), Muscle Physiology and Disorders (20 papers), Neurogenetic and Muscular Disorders Research (20 papers), Hereditary Neurological Disorders (16 papers), Metabolism and Genetic Disorders (11 papers), Neurological diseases and metabolism (9 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Cellular and Molecular Neuroscience (727 citations), Clinical Biochemistry (228 citations), Neurology (256 citations) and Neurology (406 citations). Ning Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi‐Ying Wu, Wan‐Jin Chen, David M. Stern, Xi Chen, Jun Yao, Joyce W. Lustbader, Shi Du Yan, Casper Caspersen, Hong Xu and Guy M. McKhann. Their work appears in journals such as Annals of Clinical and Translational Neurology, Frontiers in Neurology, CNS Neuroscience & Therapeutics, BMC Neurology and Parkinsonism & Related Disorders.

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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