Li-chong Wang

1.6k citations
3 papers · 1.2k · 1 hit paper · h-index 3

Impact in

  • Neurology top 0.5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Reproductive System and Pregnancy 1
    • Immune cells in cancer 1
    • Molecular Biology Techniques and Applications 1
    • RNA modifications and cancer 1

Li-chong Wang

3 papers receiving 1.2k citations

Li-chong Wang's Hit Papers

The microglial sensome revealed by direct RNA sequencing 2013 · 1.2k citations
1.2k0+4+8Years since publication2505007501000

Peers

Li-chong Wang
Comparison fields: 5 of 90
  • Neurology 987
  • Biological Psychiatry 151
  • Immunology 575
  • Developmental Neuroscience 112
  • Physiology 64
Replace Dylan Skola with:
Dylan Skola United States
Paul Préfontaine Canada
Enikö Sajti United States
Bettina Linnartz‐Gerlach Germany
Vidhu Mathur United States
Jeroen Melief Netherlands
Maria Swanberg Sweden
Simone Wörtge Germany
Luokun Xie United States
Neta Rosenzweig Israel
Li-chong Wang relative to Dylan Skola United States Dylan Skola's profile →
Citations per field
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Dylan Skola · 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 13 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

3 of 3 papers shown
#Work
1
The microglial sensome revealed by direct RNA sequencing
Hit paper breakdown →
20131151
2 201557
3 201438

About Li-chong Wang

Li-chong Wang is a scholar working on Immunology, Molecular Biology, Otorhinolaryngology, Neurology and Physiology, having authored 3 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (1 paper), Alzheimer's disease research and treatments (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Ovarian cancer diagnosis and treatment (1 paper), Molecular Biology Techniques and Applications (1 paper), Reproductive System and Pregnancy (1 paper), Immune cells in cancer (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Neurology (987 citations), Biological Psychiatry (151 citations), Immunology (575 citations), Developmental Neuroscience (112 citations) and Physiology (64 citations). Li-chong Wang has collaborated with scholars based in United States. Frequent co-authors include Joseph El Khoury, Suzanne E. Hickman, Toshiro K. Ohsumi, Mark L. Borowsky, Terry K. Means, Elizabeth B. Somers, Hongwei Wang, Son Bui, Nan Su and Xingyong Wu. Their work appears in journals such as Journal of Ovarian Research, Journal of Visualized Experiments and Nature Neuroscience.

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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