Shao-Bin Wang

28 papers receiving 680 citations

Peers

Shao-Bin Wang
Comparison fields: 5 of 87
  • Neurology 84
  • Ophthalmology 80
  • Biological Psychiatry 15
  • Molecular Biology 410
  • Immunology 115
Replace Jayeeta Roychoudhury with:
Jayeeta Roychoudhury United States
Jordan L. Morris United Kingdom
Javier Sancho-Pellúz Spain
Hye Young Shin South Korea
Francesca Mazzola Italy
Ling Zhong China
Nawajes A. Mandal United States
Nilisha Fernando Australia
Carlo Gesualdo Italy
Carla J. Ramos United States
Shao-Bin Wang relative to Jayeeta Roychoudhury United States Jayeeta Roychoudhury's profile →
Citations per field
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Jayeeta Roychoudhury · 1×
Citations per year

Countries citing papers authored by Shao-Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199068
2 202151
3 201750
4 202148
5 201248
6 202046
7 202143
8 201634
9 202132
10 201532
11 201631
12 201226
13 201824
14 201523
15 202123
16 201922
17 201317
18 202312
19 202012
20 201212

About Shao-Bin Wang

Shao-Bin Wang is a scholar working on Neurology, Ophthalmology, Molecular Biology, Immunology and Nutrition and Dietetics, having authored 28 papers that have together received 692 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (6 papers), Inflammasome and immune disorders (5 papers), Retinal Development and Disorders (4 papers), Prion Diseases and Protein Misfolding (4 papers), Neurological diseases and metabolism (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), interferon and immune responses (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Neurology (84 citations), Ophthalmology (80 citations), Biological Psychiatry (15 citations), Molecular Biology (410 citations) and Immunology (115 citations). Shao-Bin Wang has collaborated with scholars based in United States, China and India. Frequent co-authors include Shaomin Peng, Lawrence J. Rizzolo, Ron Afshari Adelman, Sidney M. Hecht, Deepti Singh, V. Shirish Murty, Yan Guo, Chan Tian, Yin Xu and Bo Chen. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Signal Transduction and Targeted Therapy, International Journal of Molecular Medicine, Proceedings of the National Academy of Sciences 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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