Christopher Liang

482 citations
43 papers · 381 · h-index 13

Impact in

Papers in

Christopher Liang

41 papers receiving 373 citations

Peers

Christopher Liang
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 168
  • Physiology 136
  • Biological Psychiatry 9
  • Pharmacology 62
  • Neurology 53
Replace Maowen Ba with:
Maowen Ba China
Ezra Mulugeta United Kingdom
Astrid Gumucio Sweden
Mia Engström Finland
Laura Nisenbaum United States
Lan Ye Germany
Christian Freichel Switzerland
Daniel Gonzalez Japan
Sarah Scott United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Liang

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196940
2 196929
3 201727
4 201723
5 202021
6 202319
7 202318
8 202218
9 202116
10 202115
11 202115
12 201514
13 201613
14 20229
15 20249
16 20238
17 20247
18 20237
19 20236
20 20236

About Christopher Liang

Christopher Liang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pharmacology and Neurology, having authored 43 papers that have together received 381 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Alzheimer's disease research and treatments (12 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), S100 Proteins and Annexins (5 papers), Medical Imaging Techniques and Applications (5 papers), Receptor Mechanisms and Signaling (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (168 citations), Physiology (136 citations), Biological Psychiatry (9 citations), Pharmacology (62 citations) and Neurology (53 citations). Christopher Liang has collaborated with scholars based in United States and Canada. Frequent co-authors include Jogeshwar Mukherjee, J. H. Quastel, Min‐Liang Pan, Mohammadreza Mirbolooki, Robert A. Coleman, Raju Metherate, Tobey J. Betthauser, Bradley T. Christian, Patrick J. Lao and Cristian C. Constantinescu. Their work appears in journals such as Molecules, Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences, Biochemical Pharmacology and Medicinal Chemistry Research.

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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