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 publication50010001.5k2.0k

Peers

Li-Chong Wang
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 728
  • Developmental Neuroscience 61
  • Molecular Biology 836
  • Neurology 195
  • Endocrine and Autonomic Systems 51
Replace Wojtek Auerbach with:
Wojtek Auerbach United States
Sachiyo Kawamoto United States
William T. Poueymirou United States
Fay Wang United States
Paweł Stankiewicz United States
Marco Seri Italy
Joanne E. Martin United Kingdom
Rafael Espinosa United States
Claus Munck Petersen Denmark
Jo Peters United Kingdom
Li-Chong Wang relative to Wojtek Auerbach United States Wojtek Auerbach's profile →
Citations per field
00.5×1.7×
Wojtek Auerbach · 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 (728 citations), Developmental Neuroscience (61 citations), Molecular Biology (836 citations), Neurology (195 citations) and Endocrine and Autonomic Systems (51 citations). Li-Chong Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nan Yao Su, Xingyong Wu, Son Bui, Yuling Luo, Xiao-Jun Ma, Fay Wang, Carol Ann Mason, Mary Hynes, Arnon Rosenthal and HEIDI S. PHILLIPS. 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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