Hansen Wang

3.7k citations
63 papers · 3.0k · h-index 32

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 6
    • CRISPR and Genetic Engineering 6
    • Ubiquitin and proteasome pathways 5
    • Genetics and Neurodevelopmental Disorders 16

Hansen Wang

60 papers receiving 2.9k citations

Peers

Hansen Wang
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 931
  • Physiology 993
  • Neurology 256
  • Cognitive Neuroscience 531
  • Behavioral Neuroscience 85
Replace Tomás L. Falzone with:
Tomás L. Falzone Argentina
Zhonghui Guan United States
Fredric P. Manfredsson United States
Elvira De Leonibus Italy
Rudi D’Hooge Belgium
Camin Dean Germany
Arkady Khoutorsky Canada
Subhojit Roy United States
Sarah C. Rogan United States
Maya Yamazaki Japan
Hansen Wang relative to Tomás L. Falzone Argentina Tomás L. Falzone's profile →
Citations per field
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Tomás L. Falzone · 1×
Citations per year

Countries citing papers authored by Hansen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hansen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010350
2 2008314
3 2021188
4 2008162
5 2011144
6 2018140
7 201590
8 201178
9 202370
10 200665
11 200963
12 200656
13 202256
14 201055
15 201254
16 201454
17 202049
18 201046
19 201343
20 201443

About Hansen Wang

Hansen Wang is a scholar working on Molecular Biology, Genetics, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (16 papers), Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (8 papers), Autism Spectrum Disorder Research (7 papers), Pain Mechanisms and Treatments (6 papers), Prion Diseases and Protein Misfolding (6 papers), CRISPR and Genetic Engineering (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (931 citations), Physiology (993 citations), Neurology (256 citations), Cognitive Neuroscience (531 citations) and Behavioral Neuroscience (85 citations). Hansen Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Min Zhuo, Susan S. Kim, Long‐Jun Wu, Kunjumon I. Vadakkan, Hui Xu, Gerold Schmitt‐Ulms, Xuehan Zhang, Tao Chen, Xiang‐Yao Li and Bong‐Kiun Kaang. Their work appears in journals such as PLoS ONE, Frontiers in Cellular Neuroscience, Journal of the American Chemical Society, Molecular Brain and Journal of Biological Chemistry.

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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