Li-Chong Wang

5.2k citations
22 papers · 4.3k · 1 hit paper · h-index 16

Impact in

Papers in

Li-Chong Wang

21 papers receiving 4.2k citations

Li-Chong Wang's Hit Papers

RNAscope 2011 · 2.1k citations
2.1k0+5+10Years since publication5001k1.5k2k

Peers

Li-Chong Wang
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1k
  • Developmental Neuroscience 148
  • Molecular Biology 1.3k
  • Neurology 279
  • Sensory Systems 74
Replace William C. Skarnes with:
William C. Skarnes United States
Fay Wang United States
Uwe Michel Germany
Richard S. W. Smith United States
Marie‐Christine Birling France
Kirk R. Thomas United States
Manabu Nakayama Japan
Chen‐Ming Fan United States
Weimin Bi United States
Ariel J. Levine United States
Li-Chong Wang relative to William C. Skarnes United States William C. Skarnes's profile →
Citations per field
00.5×1.7×
William C. Skarnes · 1×
Citations per year

Countries citing papers authored by Li-Chong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Chong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RNAscope
Hit paper breakdown →
20112075
2 1998470
3 1998414
4 1998289
5 2000253
6 1999231
7 1997104
8 199577
9 202069
10 199663
11 199643
12 199637
13 201432
14 202028
15 200022
16 202222
17 201414
18 202313
19 201512
20 19969

About Li-Chong Wang

Li-Chong Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Reproductive Medicine and Cancer Research, having authored 22 papers that have together received 4.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Molecular Biology Techniques and Applications (4 papers), Nerve injury and regeneration (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pituitary Gland Disorders and Treatments (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Congenital gastrointestinal and neural anomalies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1k citations), Developmental Neuroscience (148 citations), Molecular Biology (1.3k citations), Neurology (279 citations) and Sensory Systems (74 citations). Li-Chong Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuling Luo, Nan Yao Su, Xingyong Wu, Son Bui, Xiao-Jun Ma, Fay Wang, Carol Ann Mason, Mary Hynes, Arnon Rosenthal and Mark P. Armanini. Their work appears in journals such as Neuron, Journal of Neuroscience, Development, Progress in brain research and World Neurosurgery.

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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