Fay Wang

3.9k citations
19 papers · 3.0k · 1 hit paper · h-index 12

Impact in

Papers in

Fay Wang

18 papers receiving 2.9k citations

Fay Wang's Hit Papers

RNAscope 2011 · 2.1k citations
2.1k0+5+10Years since publication50010001.5k2.0k

Peers

Fay Wang
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 497
  • Immunology 485
  • Developmental Neuroscience 82
  • Molecular Biology 1.4k
  • Aging 32
Replace John J. Flanagan with:
John J. Flanagan United States
Niels C. Adams United Kingdom
Hitoshi Miyachi Japan
Yuichi Obata Japan
Christelle Thibault-Carpentier France
Xiao Xiao United States
Patrick Salmon Switzerland
Michael G. Anderson United States
Xiao-Jun Ma United States
Manabu Nakayama Japan
Fay Wang relative to John J. Flanagan United States John J. Flanagan's profile →
Citations per field
00.5×1.5×
John J. Flanagan · 1×
Citations per year

Countries citing papers authored by Fay Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fay Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
RNAscope
Hit paper breakdown →
20112051
2 2004213
3 2002101
4 200195
5 200393
6 200393
7 200478
8 200260
9 200355
10 200255
11 200433
12 200731
13 20099
14 20239
15 20216
16 20235
17 20055
18 20221
19 20260

About Fay Wang

Fay Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biophysics and Biomaterials, having authored 19 papers that have together received 3.0k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Neurobiology and Insect Physiology Research (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (497 citations), Immunology (485 citations), Developmental Neuroscience (82 citations), Molecular Biology (1.4k citations) and Aging (32 citations). Fay Wang has collaborated with scholars based in United States and Canada. Frequent co-authors include Nan Yao Su, Yuling Luo, Son Bui, Xiao-Jun Ma, Xingyong Wu, John J. Flanagan, Volker Hartenstein, Karin Dumstrei, Kerstin N. Schmidt and Kol A. Zarember. Their work appears in journals such as Developmental Biology, The Journal of Comparative Neurology, The Journal of Immunology, IEEE Transactions on Computational Imaging and Journal of Molecular Diagnostics.

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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